The core force in implementing and applying international economics, so if the professional level of international economics does not meet the requirements, the application of international economics in SMEs will not be implemented, or will be implemented but ineffectively.
This discussion result is consistent with previous research by Ismail and King (2007), McChlery et al. (2004). According to this result, the higher the level of accounting staff, the higher the possibility of success when applying management accounting in enterprises. In this aspect, most experts agree, however, when applying to the Vietnamese environment, the issue of how the level of accounting staff of enterprises is measured needs to be carefully considered. Therefore, in addition to the system of degrees issued by Universities and Colleges (professional and vocational), professional certificates specific to the accounting industry such as Chief Accountant certificate, CPA, ACCA, CMA
…etc. also need to be considered further. Therefore, the discussion results agree to use observed variables related to qualifications including bachelor's degrees, intermediate certificates, domestic vocational colleges and international accounting and auditing certificates to measure the qualifications of accounting staff in enterprises.
- Business strategy factor : a characteristic of SMEs is that they have a compact structure, so they can flexibly adjust prices, products can be specialized according to customer requirements (niche market) in terms of quantity, design, time... Therefore, a business strategy based on flexibility is considered one of the most powerful weapons of SMEs, especially in recent years when businesses have to meet the needs of the ever-changing market. According to experts, this will affect the application of international accounting in terms of content, choosing supporting technical tools to be able to pursue the above flexible business strategy. And in return, when choosing a flexible business strategy, SMEs will have a high demand for applying international accounting, creating a favorable premise for applying international accounting in the enterprise.
According to previous research by Tuan Zainun Tuan Mat (2010), flexible business strategy can be interpreted and measured through the following actions: creating changes in product design and quickly introducing them to the market; producing specialized goods and services according to customer requirements; the level of availability of goods (wide distribution system); the quality of providing after-sales support services; the enterprise can quickly change production output; the enterprise provides products with high quality;
Enterprises produce according to delivery requirements. For this scale, experts agreed to use available observation variables and had no comments or additions.
- The level of state ownership factor: this is also a new factor proposed by experts based on the current situation of applying international accounting in Vietnamese SMEs. Although accounting for a very small proportion of SMEs, most of the SMEs owned by the state are medium-sized, so the current trend is to transfer state ownership to the private sector through the equitization process. Because the management mindset is heavily influenced by the subsidized economy, as well as the bureaucracy and rigidity in economic management, the application of international accounting in state-owned enterprises is difficult. Only when transferring management rights to the private economic sector, due to the high requirements for corporate governance, can enterprises with the participation of state capital be able to flexibly apply modern management tools, including technical tools of international accounting. And along with the transfer of ownership from the state to the private sector, there is also the transfer of management and decision-making rights at some key positions in the enterprise to the private sector such as director, chief accountant... Therefore, experts suggest using observation variables such as the state capital contribution ratio not exceeding half, there are no people from state agencies coordinating enterprise management at key positions of the enterprise...
- Factors of market competition level and factors of environmental instability awareness : experts all agree that the more competitive and unstable the business environment is, the more Vietnamese SMEs need to apply technical tools of management accounting to forecast and collect information to make appropriate decisions to minimize business risks. In addition, the higher the level of competition, the more complex the application techniques are required. This is also consistent with the previous study of Tuan Zainun Tuan Mat (2010), in which the level of market competition can be interpreted and measured through the level of competitive actions as follows: price competition, competition in new product development, competition in distribution/marketing channels, competition in market share/revenue, number of competitors in the same market segment and competitive actions of competitors. For this scale, experts commented that the observed variables are relatively suitable.
suitable for Vietnamese business characteristics, so agree to have no further comments or additions.
However, for the factor of awareness of environmental instability , experts agree that this factor is actually similar and partly reflects (or is affected by) the factor of market competitiveness . This can be interpreted in the sense that the higher the level of market competition, the more difficult it will be for businesses to operate and the business owners themselves will feel the market is more unstable, however, this factor is heavily subjective from the business owners. In addition, the factor of awareness of environmental instability can also be affected by other factors such as ethnic conflicts, political parties, wars, etc. However, this reality is not suitable for the current situation in Vietnam, so it is possible to combine these two factors and measure them through a single representative factor, which is the factor of market competitiveness .
- The factor of awareness of international accounting of the business owner/manager : this is also a new factor proposed by experts based on the current situation of applying international accounting in Vietnamese SMEs. Due to the economic context of Vietnam recently transitioning to a market economy, most SMEs are not familiar with international accounting but only focus on financial accounting according to the requirements and orders of the management agency rather than the actual management needs of the enterprise. Therefore, the application of international accounting is difficult to succeed or even impossible if the business owner/manager does not understand the benefits of applying international accounting technical tools. And it is the understanding of international accounting technical tools that helps business owners/managers generate the need to apply international accounting in their enterprises, helping them appreciate the usefulness of international accounting technical tools and not hesitate to spend investment costs on applying international accounting.
- Decentralized organizational design factor : according to the specific organizational structure of SMEs, especially small and micro enterprises, most of them choose a centralized management form. In addition, the choice of management form is also affected by the corporate culture factor. Therefore, experts propose to eliminate the measurement of this factor separately, instead, the influence of this factor can be considered partly through the corporate culture scale mentioned above.
- Customer resource factor: through actual surveys as well as consulting experts, most agree that in reality in Vietnam it is almost impossible to determine and measure the criteria for the strength and weakness of customer resources. Therefore, measuring the impact of this factor on the ability to apply international accounting in SMEs in Vietnam is not feasible, so this factor should be removed from the survey.
- Factor of foreign investors' ownership ratio in enterprises: according to the statistics of the General Statistics Office (2014) on the production situation of foreign-invested enterprises in the period 2000 - 2013, only about 17% are joint ventures with foreign countries. In addition, according to investment characteristics, most foreign investors have very strict requirements on financial transparency when investing in Vietnamese enterprises, large investment capital, which means that the proportion of SMEs participating in joint ventures with foreign investors accounts for an insignificant proportion. Therefore, most experts agree to eliminate this factor when examining the impact on the application of international accounting in SMEs in Vietnam.
- Business industry factors (or production technology factors) advanced (ATM), total management techniques (TQM), Just in time management techniques ... according to the random theory as well as previous research works of authors Khaled Abed Hutaibat (2005), Tuan Zainun Tuan Mat (2010), Abdel-Kader and Luther, R. (2008) are important factors affecting the application of management accounting in enterprises. However, the characteristics of these enterprises are operating in fields that apply a lot of advanced technology such as some specific industries such as pharmaceuticals, chemicals ... However, for the majority of SMEs in Vietnam, due to many factors such as technology, capital scale, management level ..., they do not participate in the above industries. Therefore, this factor is proposed by experts to be eliminated because it is not highly representative.
- Factor of ability to apply international accounting in Vietnamese SMEs: according to experts, the ability to apply international accounting in enterprises in general and SMEs in particular is shown in the ability to apply international accounting contents, or the application of international accounting technical tools. Therefore, the observed variables of this factor (scale) will be shown through
The management accounting section includes specific technical tools such as cost management accounting, performance evaluation, budgeting, decision support and strategic management accounting.
After synthesizing the corrections, additions and changes, the results are presented in the table as follows:
Summary table of discussion results with experts
Proposed model
Discussion results | Note | ||||
Image factor enjoy | Study origin | Image factor enjoy | Hypothesis study | How to measure measure | |
Nest design | Tuan Zainun | Remove | Remove | Form | |
function | Tuan Mat (2010) | Decentralization | |||
right | high not fit | ||||
combine and occupy | |||||
minority in | |||||
SMEs | |||||
Resources | Tuan Zainun | Remove | Remove | Not feasible | |
client | Tuan Mat (2010) | when evaluating | |||
or measure | |||||
resources | |||||
client | |||||
of the | |||||
SMEs | |||||
Ownership ratio | Tuan Zainun | Remove | Remove | Form of association | |
of investors | Tuan Mat (2010) | middle | |||
outside inside | investors | ||||
DN | foreign and | ||||
Vietnamese SMEs | |||||
Men account for 100% | |||||
very low rate | |||||
Industry | Khaled Abed | Remove | Remove | Industry | |
business | Hutaibat (2005), Tuan | business | |||
(or the characters) | Zainun Tuan | advanced demand | |||
technical factors | Mat (2010), Abdel-Kader | ask technology | |||
advanced | and Luther, | high density | |||
(ATM), technology | R.(2008) | variable in the | |||
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Factors affecting the application of management accounting in small and medium enterprises in Vietnam - 4 -
Conclusions Regarding Factors Affecting the Application of Accounting Standards at Small and Medium Enterprises in Gia Lai Province -
Qos Assurance Methods for Multimedia Communications
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low. The EF PHB requires a sufficiently large number of output ports to provide low delay, low loss, and low jitter.
EF PHBs can be implemented if the output port's bandwidth is sufficiently large, combined with small buffer sizes and other network resources dedicated to EF packets, to allow the router's service rate for EF packets on an output port to exceed the arrival rate λ of packets at that port.
This means that packets with PHB EF are considered with a pre-allocated amount of output bandwidth and a priority that ensures minimum loss, minimum delay and minimum jitter before being put into operation.
PHB EF is suitable for channel simulation, leased line simulation, and real-time services such as voice, video without compromising on high loss, delay and jitter values.
Figure 2.10 Example of EF installation
Figure 2.10 shows an example of an EF PHB implementation. This is a simple priority queue scheduling technique. At the edges of the DS domain, EF packet traffic is prioritized according to the values agreed upon by the SLA. The EF queue in the figure needs to output packets at a rate higher than the packet arrival rate λ. To provide an EF PHB over an end-to-end DS domain, bandwidth at the output ports of the core routers needs to be allocated in advance to ensure the requirement μ > λ. This can be done by a pre-configured provisioning process. In the figure, EF packets are placed in the priority queue (the upper queue). With such a length, the queue can operate with μ > λ.
Since EF was primarily used for real-time services such as voice and video, and since real-time services use UDP instead of TCP, RED is generally
not suitable for EF queues because applications using UDP will not respond to random packet drop and RED will strip unnecessary packets.
2.2.4.2 Assured Forwarding (AF) PHB
PHB AF is defined by RFC 2597. The purpose of PHB AF is to deliver packets reliably and therefore delay and jitter are considered less important than packet loss. PHB AF is suitable for non-real-time services such as applications using TCP. PHB AF first defines four classes: AF1, AF2, AF3, AF4. For each of these AF classes, packets are then classified into three subclasses with three distinct priority levels.
Table 2.8 shows the four AF classes and 12 AF subclasses and the DSCP values for the 12 AF subclasses defined by RFC 2597. RFC 2597 also allows for more than three separate priority levels to be added for internal use. However, these separate priority levels will only have internal significance.
PHB Class
PHB Subclass
Package type
DSCP
AF4
AF41
Short
100010
AF42
Medium
100100
AF43
High
100110
AF3
AF31
Short
011010
AF32
Medium
011100
AF33
High
011110
AF2
AF21
Short
010010
AF22
Medium
010100
AF23
High
010110
AF1
AF11
Short
001010
AF12
Medium
001100
AF13
High
001110
Table 2.8 AF DSCPs
The AF PHB ensures that packets are forwarded with a high probability of delivery to the destination within the bounds of the rate agreed upon in an SLA. If AF traffic at an ingress port exceeds the pre-priority rate, which is considered non-compliant or “out of profile”, the excess packets will not be delivered to the destination with the same probability as the packets belonging to the defined traffic or “in profile” packets. When there is network congestion, the out of profile packets are dropped before the in profile packets are dropped.
When service levels are defined using AF classes, different quantity and quality between AF classes can be realized by allocating different amounts of bandwidth and buffer space to the four AF classes. Unlike
EF, most AF traffic is non-real-time traffic using TCP, and the RED queue management strategy is an AQM (Adaptive Queue Management) strategy suitable for use in AF PHBs. The four AF PHB layers can be implemented as four separate queues. The output port bandwidth is divided into four AF queues. For each AF queue, packets are marked with three “colors” corresponding to three separate priority levels.
In addition to the 32 DSCP 1 groups defined in Table 2.8, 21 DSCPs have been standardized as follows: one for PHB EF, 12 for PHB AF, and 8 for CSCP. There are 11 DSCP 1 groups still available for other standards.
2.2.5.Example of Differentiated Services
We will look at an example of the Differentiated Service model and mechanism of operation. The architecture of Differentiated Service consists of two basic sets of functions:
Edge functions: include packet classification and traffic conditioning. At the inbound edge of the network, incoming packets are marked. In particular, the DS field in the packet header is set to a certain value. For example, in Figure 2.12, packets sent from H1 to H3 are marked at R1, while packets from H2 to H4 are marked at R2. The labels on the received packets identify the service class to which they belong. Different traffic classes receive different services in the core network. The RFC definition uses the term behavior aggregate rather than the term traffic class. After being marked, a packet can be forwarded immediately into the network, delayed for a period of time before being forwarded, or dropped. We will see that there are many factors that affect how a packet is marked, and whether it is forwarded immediately, delayed, or dropped.
Figure 2.12 DiffServ Example
Core functionality: When a DS-marked packet arrives at a Diffservcapable router, the packet is forwarded to the next router based on
Per-hop behavior is associated with packet classes. Per-hop behavior affects router buffers and the bandwidth shared between competing classes. An important principle of the Differentiated Service architecture is that a router's per-hop behavior is based only on the packet's marking or the class to which it belongs. Therefore, if packets sent from H1 to H3 as shown in the figure receive the same marking as packets from H2 to H4, then the network routers treat the packets exactly the same, regardless of whether the packet originated from H1 or H2. For example, R3 does not distinguish between packets from h1 and H2 when forwarding packets to R4. Therefore, the Differentiated Service architecture avoids the need to maintain router state about separate source-destination pairs, which is important for network scalability.
Chapter Conclusion
Chapter 2 has presented and clarified two main models of deploying and installing quality of service in IP networks. While the traditional best-effort model has many disadvantages, later models such as IntServ and DiffServ have partly solved the problems that best-effort could not solve. IntServ follows the direction of ensuring quality of service for each separate flow, it is built similar to the circuit switching model with the use of the RSVP resource reservation protocol. IntSer is suitable for services that require fixed bandwidth that is not shared such as VoIP services, multicast TV services. However, IntSer has disadvantages such as using a lot of network resources, low scalability and lack of flexibility. DiffServ was born with the idea of solving the disadvantages of the IntServ model.
DiffServ follows the direction of ensuring quality based on the principle of hop-by-hop behavior based on the priority of marked packets. The policy for different types of traffic is decided by the administrator and can be changed according to reality, so it is very flexible. DiffServ makes better use of network resources, avoiding idle bandwidth and processing capacity on routers. In addition, the DifServ model can be deployed on many independent domains, so the ability to expand the network becomes easy.
Chapter 3: METHODS TO ENSURE QoS FOR MULTIMEDIA COMMUNICATIONS
In packet-switched networks, different packet flows often have to share the transmission medium all the way to the destination station. To ensure the fair and efficient allocation of bandwidth to flows, appropriate serving mechanisms are required at network nodes, especially at gateways or routers, where many different data flows often pass through. The scheduler is responsible for serving packets of the selected flow and deciding which packet will be served next. Here, a flow is understood as a set of packets belonging to the same priority class, or originating from the same source, or having the same source and destination addresses, etc.
In normal state when there is no congestion, packets will be sent as soon as they are delivered. In case of congestion, if QoS assurance methods are not applied, prolonged congestion can cause packet drops, affecting service quality. In some cases, congestion is prolonged and widespread in the network, which can easily lead to the network being "frozen", or many packets being dropped, seriously affecting service quality.
Therefore, in this chapter, in sections 3.2 and 3.3, we introduce some typical network traffic load monitoring techniques to predict and prevent congestion before it occurs through the measure of dropping (removing) packets early when there are signs of impending congestion.
3.1. DropTail method
DropTail is a simple, traditional queue management method based on FIFO mechanism. All incoming packets are placed in the queue, when the queue is full, the later packets are dropped.
Due to its simplicity and ease of implementation, DropTail has been used for many years on Internet router systems. However, this algorithm has the following disadvantages:
− Cannot avoid the phenomenon of “Lock out”: Occurs when 1 or several traffic streams monopolize the queue, making packets of other connections unable to pass through the router. This phenomenon greatly affects reliable transmission protocols such as TCP. According to the anti-congestion algorithm, when locked out, the TCP connection stream will reduce the window size and reduce the packet transmission speed exponentially.
− Can cause Global Synchronization: This is the result of a severe “Lock out” phenomenon. Some neighboring routers have their queues monopolized by a number of connections, causing a series of other TCP connections to be unable to pass through and simultaneously reducing the transmission speed. After those monopolized connections are temporarily suspended,
Once the queue is cleared, it takes a considerable amount of time for TCP connections to return to their original speed.
− Full Queue phenomenon: Data transmitted on the Internet often has an explosion, packets arriving at the router are often in clusters rather than in turn. Therefore, the operating mechanism of DropTail makes the queue easily full for a long period of time, leading to the average delay time of large packets. To avoid this phenomenon, with DropTail, the only way is to increase the router's buffer, this method is very expensive and ineffective.
− No QoS guarantee: With the DropTail mechanism, there is no way to prioritize important packets to be transmitted through the router earlier when all are in the queue. Meanwhile, with multimedia communication, ensuring connection and stable speed is extremely important and the DropTail algorithm cannot satisfy.
The problem of choosing the buffer size of the routers in the network is to “absorb” short bursts of traffic without causing too much queuing delay. This is necessary in bursty data transmission. The queue size determines the size of the packet bursts (traffic spikes) that we want to be able to transmit without being dropped at the routers.
In IP-based application networks, packet dropping is an important mechanism for indirectly reporting congestion to end stations. A solution that prevents router queues from filling up while reducing the packet drop rate is called dynamic queue management.
3.2. Random elimination method – RED
3.2.1 Overview
RED (Random Early Detection of congestion; Random Early Drop) is one of the first AQM algorithms proposed in 1993 by Sally Floyd and Van Jacobson, two scientists at the Lawrence Berkeley Laboratory of the University of California, USA. Due to its outstanding advantages compared to previous queue management algorithms, RED has been widely installed and deployed on the Internet.
The most fundamental point of their work is that the most effective place to detect congestion and react to it is at the gateway or router.
Source entities (senders) can also do this by estimating end-to-end delay, throughput variability, or the rate of packet retransmissions due to drop. However, the sender and receiver view of a particular connection cannot tell which gateways on the network are congested, and cannot distinguish between propagation delay and queuing delay. Only the gateway has a true view of the state of the queue, the link share of the connections passing through it at any given time, and the quality of service requirements of the
traffic flows. The RED gateway monitors the average queue length, which detects early signs of impending congestion (average queue length exceeding a predetermined threshold) and reacts appropriately in one of two ways:
− Drop incoming packets with a certain probability, to indirectly inform the source of congestion, the source needs to reduce the transmission rate to keep the queue from filling up, maintaining the ability to absorb incoming traffic spikes.
− Mark “congestion” with a certain probability in the ECN field in the header of TCP packets to notify the source (the receiving entity will copy this bit into the acknowledgement packet).
Figure 3. 1 RED algorithm
The main goal of RED is to avoid congestion by keeping the average queue size within a sufficiently small and stable region, which also means keeping the queuing delay sufficiently small and stable. Achieving this goal also helps: avoid global synchronization, not resist bursty traffic flows (i.e. flows with low average throughput but high volatility), and maintain an upper bound on the average queue size even in the absence of cooperation from transport layer protocols.
To achieve the above goals, RED gateways must do the following:
− The first is to detect congestion early and react appropriately to keep the average queue size small enough to keep the network operating in the low latency, high throughput region, while still allowing the queue size to fluctuate within a certain range to absorb short-term fluctuations. As discussed above, the gateway is the most appropriate place to detect congestion and is also the most appropriate place to decide which specific connection to report congestion to.
− The second thing is to notify the source of congestion. This is done by marking and notifying the source to reduce traffic. Normally the RED gateway will randomly drop packets. However, if congestion
If congestion is detected before the queue is full, it should be combined with packet marking to signal congestion. The RED gateway has two options: drop or mark; where marking is done by marking the ECN field of the packet with a certain probability, to signal the source to reduce the traffic entering the network.
− An important goal that RED gateways need to achieve is to avoid global synchronization and not to resist traffic flows that have a sudden characteristic. Global synchronization occurs when all connections simultaneously reduce their transmission window size, leading to a severe drop in throughput at the same time. On the other hand, Drop Tail or Random Drop strategies are very sensitive to sudden flows; that is, the gateway queue will often overflow when packets from these flows arrive. To avoid these two phenomena, gateways can use special algorithms to detect congestion and decide which connections will be notified of congestion at the gateway. The RED gateway randomly selects incoming packets to mark; with this method, the probability of marking a packet from a particular connection is proportional to the connection's shared bandwidth at the gateway.
− Another goal is to control the average queue size even without cooperation from the source entities. This can be done by dropping packets when the average size exceeds an upper threshold (instead of marking it). This approach is necessary in cases where most connections have transmission times that are less than the round-trip time, or where the source entities are not able to reduce traffic in response to marking or dropping packets (such as UDP flows).
3.2.2 Algorithm
This section describes the algorithm for RED gateways. RED gateways calculate the average queue size using a low-pass filter. This average queue size is compared with two thresholds: minth and maxth. When the average queue size is less than the lower threshold, no incoming packets are marked or dropped; when the average queue size is greater than the upper threshold, all incoming packets are dropped. When the average queue size is between minth and maxth, each incoming packet is marked or dropped with a probability pa, where pa is a function of the average queue size avg; the probability of marking or dropping a packet for a particular connection is proportional to the bandwidth share of that connection at the gateway. The general algorithm for a RED gateway is described as follows: [5]
For each packet arrival
Caculate the average queue size avg If minth ≤ avg < maxth
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Overview of Research on Factors Affecting the Linkage of Small and Medium Enterprises with Enterprises with Direct Investment Capital -
Factors affecting the ability of small and medium enterprises in Ho Chi Minh City to access bank credit - 14

comprehensive management
(TQM), technique
Just in time management
SMEs | |||||
Perception of environmental instability | Tuan Zainun Tuan Mat (2010) | Correction | Correction | Combine measurement with competitive level factors of the market | |
Human level | Ismail and | Agree | Accountant | Levels | |
accountant | King (2007), McChlery et | ownership math | of the degrees | ||
DN | al. (2004) | degrees, | certificate | ||
certificate | profession, certificate | ||||
profession, certificate | accounting only | ||||
accounting only | professional | ||||
professional | |||||
will increase | |||||
ability to transport | |||||
international economic application | |||||
in SMEs | |||||
Vietnam | |||||
Enterprise size | Klaus Flacke | Agree | Enterprise size | Revenue, number | |
and Klaus Segbers | the bigger will be | capital, quantity | |||
(2005), | increase ability | staff, number | |||
Khaled Abed Hutaibat | applicability | department, branch | |||
(2005) | International Economics in | branch | |||
Vietnamese SMEs | |||||
Male | |||||
Corporate culture | Alper Erserim | Agree | In the enterprise there is | Supportive culture | |
(2012) | culture | support; culture | |||
support/text | Manage by | ||||
management chemistry | target | ||||
by target | |||||
will increase | |||||
ability to transport |
Application of international accounting in SMEs Vietnam | |||||||
Business strategy | Tuan Zainun Tuan Mat (2010) | Agree | Enterprises apply business strategy Flexibility will increase the ability to apply international accounting in Vietnamese SMEs. Male | Flexibility of strategy business | |||
Level of competition | Tuan Zainun | Agree | Business operations | Level of competition | |||
painting | of the market | Tuan Mat (2010) | in the lips | painting of the opponent | |||
school | School of Economics | market share | |||||
business with level | price, product | ||||||
competitiveness | product | ||||||
the higher will be | |||||||
increase ability | |||||||
applicability | |||||||
International Economics in | |||||||
Vietnamese SMEs | |||||||
Male | |||||||
Spend | fee for | The | specialized | Agree | Cost requirements | Cost requirements | |
job | organization | family | additional | organization fee | investment fee | ||
International Economics | new | International Economics in | technology, consulting | ||||
The lower the DN | question | ||||||
will increase | |||||||
ability to transport | |||||||
international economic application | |||||||
in SMEs | |||||||
Vietnam | |||||||
Level | degree | The | specialized | Agree | Cost requirements | Cost requirements | |
have | of the house | family | additional | organization fee | investment fee | ||
water | in | new | International Economics in | technology, consulting | |||
SMEs | The lower the DN | question | |||||
will increase the ability to apply international economics in small and medium enterprises. Vietnam | ||||||
Awareness of | The | specialized | Agree | People | Understanding of | |
International Economics of | family | additional | owner/person | KTQT, hit | ||
People | new | business management | high price on quality | |||
owner/person | have knowledge about | useful of | ||||
business management | KTQT will do | technical tools | ||||
increase ability | international economics, | |||||
manipulate | have need | |||||
International Economics in | high on luck | |||||
Vietnamese SMEs | using international economics, | |||||
Male | accept payment | |||||
high investment cost | ||||||
for KTQT | ||||||
Thus, from the initial research model, after discussing and consulting with experts, the research model was revised to include 08 factors affecting the application of management accounting in Vietnamese SMEs as follows: business size factor, cost of organizing management accounting, business culture factor, accounting staff qualification factor, business strategy factor, level of state ownership in the enterprise factor, level of market competition factor and awareness factor of management accounting of business owners/managers.



![Qos Assurance Methods for Multimedia Communications
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low. The EF PHB requires a sufficiently large number of output ports to provide low delay, low loss, and low jitter.
EF PHBs can be implemented if the output ports bandwidth is sufficiently large, combined with small buffer sizes and other network resources dedicated to EF packets, to allow the routers service rate for EF packets on an output port to exceed the arrival rate λ of packets at that port.
This means that packets with PHB EF are considered with a pre-allocated amount of output bandwidth and a priority that ensures minimum loss, minimum delay and minimum jitter before being put into operation.
PHB EF is suitable for channel simulation, leased line simulation, and real-time services such as voice, video without compromising on high loss, delay and jitter values.
Figure 2.10 Example of EF installation
Figure 2.10 shows an example of an EF PHB implementation. This is a simple priority queue scheduling technique. At the edges of the DS domain, EF packet traffic is prioritized according to the values agreed upon by the SLA. The EF queue in the figure needs to output packets at a rate higher than the packet arrival rate λ. To provide an EF PHB over an end-to-end DS domain, bandwidth at the output ports of the core routers needs to be allocated in advance to ensure the requirement μ > λ. This can be done by a pre-configured provisioning process. In the figure, EF packets are placed in the priority queue (the upper queue). With such a length, the queue can operate with μ > λ.
Since EF was primarily used for real-time services such as voice and video, and since real-time services use UDP instead of TCP, RED is generally
not suitable for EF queues because applications using UDP will not respond to random packet drop and RED will strip unnecessary packets.
2.2.4.2 Assured Forwarding (AF) PHB
PHB AF is defined by RFC 2597. The purpose of PHB AF is to deliver packets reliably and therefore delay and jitter are considered less important than packet loss. PHB AF is suitable for non-real-time services such as applications using TCP. PHB AF first defines four classes: AF1, AF2, AF3, AF4. For each of these AF classes, packets are then classified into three subclasses with three distinct priority levels.
Table 2.8 shows the four AF classes and 12 AF subclasses and the DSCP values for the 12 AF subclasses defined by RFC 2597. RFC 2597 also allows for more than three separate priority levels to be added for internal use. However, these separate priority levels will only have internal significance.
PHB Class
PHB Subclass
Package type
DSCP
AF4
AF41
Short
100010
AF42
Medium
100100
AF43
High
100110
AF3
AF31
Short
011010
AF32
Medium
011100
AF33
High
011110
AF2
AF21
Short
010010
AF22
Medium
010100
AF23
High
010110
AF1
AF11
Short
001010
AF12
Medium
001100
AF13
High
001110
Table 2.8 AF DSCPs
The AF PHB ensures that packets are forwarded with a high probability of delivery to the destination within the bounds of the rate agreed upon in an SLA. If AF traffic at an ingress port exceeds the pre-priority rate, which is considered non-compliant or “out of profile”, the excess packets will not be delivered to the destination with the same probability as the packets belonging to the defined traffic or “in profile” packets. When there is network congestion, the out of profile packets are dropped before the in profile packets are dropped.
When service levels are defined using AF classes, different quantity and quality between AF classes can be realized by allocating different amounts of bandwidth and buffer space to the four AF classes. Unlike
EF, most AF traffic is non-real-time traffic using TCP, and the RED queue management strategy is an AQM (Adaptive Queue Management) strategy suitable for use in AF PHBs. The four AF PHB layers can be implemented as four separate queues. The output port bandwidth is divided into four AF queues. For each AF queue, packets are marked with three “colors” corresponding to three separate priority levels.
In addition to the 32 DSCP 1 groups defined in Table 2.8, 21 DSCPs have been standardized as follows: one for PHB EF, 12 for PHB AF, and 8 for CSCP. There are 11 DSCP 1 groups still available for other standards.
2.2.5.Example of Differentiated Services
We will look at an example of the Differentiated Service model and mechanism of operation. The architecture of Differentiated Service consists of two basic sets of functions:
Edge functions: include packet classification and traffic conditioning. At the inbound edge of the network, incoming packets are marked. In particular, the DS field in the packet header is set to a certain value. For example, in Figure 2.12, packets sent from H1 to H3 are marked at R1, while packets from H2 to H4 are marked at R2. The labels on the received packets identify the service class to which they belong. Different traffic classes receive different services in the core network. The RFC definition uses the term behavior aggregate rather than the term traffic class. After being marked, a packet can be forwarded immediately into the network, delayed for a period of time before being forwarded, or dropped. We will see that there are many factors that affect how a packet is marked, and whether it is forwarded immediately, delayed, or dropped.
Figure 2.12 DiffServ Example
Core functionality: When a DS-marked packet arrives at a Diffservcapable router, the packet is forwarded to the next router based on
Per-hop behavior is associated with packet classes. Per-hop behavior affects router buffers and the bandwidth shared between competing classes. An important principle of the Differentiated Service architecture is that a routers per-hop behavior is based only on the packets marking or the class to which it belongs. Therefore, if packets sent from H1 to H3 as shown in the figure receive the same marking as packets from H2 to H4, then the network routers treat the packets exactly the same, regardless of whether the packet originated from H1 or H2. For example, R3 does not distinguish between packets from h1 and H2 when forwarding packets to R4. Therefore, the Differentiated Service architecture avoids the need to maintain router state about separate source-destination pairs, which is important for network scalability.
Chapter Conclusion
Chapter 2 has presented and clarified two main models of deploying and installing quality of service in IP networks. While the traditional best-effort model has many disadvantages, later models such as IntServ and DiffServ have partly solved the problems that best-effort could not solve. IntServ follows the direction of ensuring quality of service for each separate flow, it is built similar to the circuit switching model with the use of the RSVP resource reservation protocol. IntSer is suitable for services that require fixed bandwidth that is not shared such as VoIP services, multicast TV services. However, IntSer has disadvantages such as using a lot of network resources, low scalability and lack of flexibility. DiffServ was born with the idea of solving the disadvantages of the IntServ model.
DiffServ follows the direction of ensuring quality based on the principle of hop-by-hop behavior based on the priority of marked packets. The policy for different types of traffic is decided by the administrator and can be changed according to reality, so it is very flexible. DiffServ makes better use of network resources, avoiding idle bandwidth and processing capacity on routers. In addition, the DifServ model can be deployed on many independent domains, so the ability to expand the network becomes easy.
Chapter 3: METHODS TO ENSURE QoS FOR MULTIMEDIA COMMUNICATIONS
In packet-switched networks, different packet flows often have to share the transmission medium all the way to the destination station. To ensure the fair and efficient allocation of bandwidth to flows, appropriate serving mechanisms are required at network nodes, especially at gateways or routers, where many different data flows often pass through. The scheduler is responsible for serving packets of the selected flow and deciding which packet will be served next. Here, a flow is understood as a set of packets belonging to the same priority class, or originating from the same source, or having the same source and destination addresses, etc.
In normal state when there is no congestion, packets will be sent as soon as they are delivered. In case of congestion, if QoS assurance methods are not applied, prolonged congestion can cause packet drops, affecting service quality. In some cases, congestion is prolonged and widespread in the network, which can easily lead to the network being frozen, or many packets being dropped, seriously affecting service quality.
Therefore, in this chapter, in sections 3.2 and 3.3, we introduce some typical network traffic load monitoring techniques to predict and prevent congestion before it occurs through the measure of dropping (removing) packets early when there are signs of impending congestion.
3.1. DropTail method
DropTail is a simple, traditional queue management method based on FIFO mechanism. All incoming packets are placed in the queue, when the queue is full, the later packets are dropped.
Due to its simplicity and ease of implementation, DropTail has been used for many years on Internet router systems. However, this algorithm has the following disadvantages:
− Cannot avoid the phenomenon of “Lock out”: Occurs when 1 or several traffic streams monopolize the queue, making packets of other connections unable to pass through the router. This phenomenon greatly affects reliable transmission protocols such as TCP. According to the anti-congestion algorithm, when locked out, the TCP connection stream will reduce the window size and reduce the packet transmission speed exponentially.
− Can cause Global Synchronization: This is the result of a severe “Lock out” phenomenon. Some neighboring routers have their queues monopolized by a number of connections, causing a series of other TCP connections to be unable to pass through and simultaneously reducing the transmission speed. After those monopolized connections are temporarily suspended,
Once the queue is cleared, it takes a considerable amount of time for TCP connections to return to their original speed.
− Full Queue phenomenon: Data transmitted on the Internet often has an explosion, packets arriving at the router are often in clusters rather than in turn. Therefore, the operating mechanism of DropTail makes the queue easily full for a long period of time, leading to the average delay time of large packets. To avoid this phenomenon, with DropTail, the only way is to increase the routers buffer, this method is very expensive and ineffective.
− No QoS guarantee: With the DropTail mechanism, there is no way to prioritize important packets to be transmitted through the router earlier when all are in the queue. Meanwhile, with multimedia communication, ensuring connection and stable speed is extremely important and the DropTail algorithm cannot satisfy.
The problem of choosing the buffer size of the routers in the network is to “absorb” short bursts of traffic without causing too much queuing delay. This is necessary in bursty data transmission. The queue size determines the size of the packet bursts (traffic spikes) that we want to be able to transmit without being dropped at the routers.
In IP-based application networks, packet dropping is an important mechanism for indirectly reporting congestion to end stations. A solution that prevents router queues from filling up while reducing the packet drop rate is called dynamic queue management.
3.2. Random elimination method – RED
3.2.1 Overview
RED (Random Early Detection of congestion; Random Early Drop) is one of the first AQM algorithms proposed in 1993 by Sally Floyd and Van Jacobson, two scientists at the Lawrence Berkeley Laboratory of the University of California, USA. Due to its outstanding advantages compared to previous queue management algorithms, RED has been widely installed and deployed on the Internet.
The most fundamental point of their work is that the most effective place to detect congestion and react to it is at the gateway or router.
Source entities (senders) can also do this by estimating end-to-end delay, throughput variability, or the rate of packet retransmissions due to drop. However, the sender and receiver view of a particular connection cannot tell which gateways on the network are congested, and cannot distinguish between propagation delay and queuing delay. Only the gateway has a true view of the state of the queue, the link share of the connections passing through it at any given time, and the quality of service requirements of the
traffic flows. The RED gateway monitors the average queue length, which detects early signs of impending congestion (average queue length exceeding a predetermined threshold) and reacts appropriately in one of two ways:
− Drop incoming packets with a certain probability, to indirectly inform the source of congestion, the source needs to reduce the transmission rate to keep the queue from filling up, maintaining the ability to absorb incoming traffic spikes.
− Mark “congestion” with a certain probability in the ECN field in the header of TCP packets to notify the source (the receiving entity will copy this bit into the acknowledgement packet).
Figure 3. 1 RED algorithm
The main goal of RED is to avoid congestion by keeping the average queue size within a sufficiently small and stable region, which also means keeping the queuing delay sufficiently small and stable. Achieving this goal also helps: avoid global synchronization, not resist bursty traffic flows (i.e. flows with low average throughput but high volatility), and maintain an upper bound on the average queue size even in the absence of cooperation from transport layer protocols.
To achieve the above goals, RED gateways must do the following:
− The first is to detect congestion early and react appropriately to keep the average queue size small enough to keep the network operating in the low latency, high throughput region, while still allowing the queue size to fluctuate within a certain range to absorb short-term fluctuations. As discussed above, the gateway is the most appropriate place to detect congestion and is also the most appropriate place to decide which specific connection to report congestion to.
− The second thing is to notify the source of congestion. This is done by marking and notifying the source to reduce traffic. Normally the RED gateway will randomly drop packets. However, if congestion
If congestion is detected before the queue is full, it should be combined with packet marking to signal congestion. The RED gateway has two options: drop or mark; where marking is done by marking the ECN field of the packet with a certain probability, to signal the source to reduce the traffic entering the network.
− An important goal that RED gateways need to achieve is to avoid global synchronization and not to resist traffic flows that have a sudden characteristic. Global synchronization occurs when all connections simultaneously reduce their transmission window size, leading to a severe drop in throughput at the same time. On the other hand, Drop Tail or Random Drop strategies are very sensitive to sudden flows; that is, the gateway queue will often overflow when packets from these flows arrive. To avoid these two phenomena, gateways can use special algorithms to detect congestion and decide which connections will be notified of congestion at the gateway. The RED gateway randomly selects incoming packets to mark; with this method, the probability of marking a packet from a particular connection is proportional to the connections shared bandwidth at the gateway.
− Another goal is to control the average queue size even without cooperation from the source entities. This can be done by dropping packets when the average size exceeds an upper threshold (instead of marking it). This approach is necessary in cases where most connections have transmission times that are less than the round-trip time, or where the source entities are not able to reduce traffic in response to marking or dropping packets (such as UDP flows).
3.2.2 Algorithm
This section describes the algorithm for RED gateways. RED gateways calculate the average queue size using a low-pass filter. This average queue size is compared with two thresholds: minth and maxth. When the average queue size is less than the lower threshold, no incoming packets are marked or dropped; when the average queue size is greater than the upper threshold, all incoming packets are dropped. When the average queue size is between minth and maxth, each incoming packet is marked or dropped with a probability pa, where pa is a function of the average queue size avg; the probability of marking or dropping a packet for a particular connection is proportional to the bandwidth share of that connection at the gateway. The general algorithm for a RED gateway is described as follows: [5]
For each packet arrival
Caculate the average queue size avg If minth ≤ avg < maxth
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