Abstract
Priority queueing has currently become a popular research topic as a low-cost effective method to enable both quality of service (QoS) and differential services (DS) over large-scale high-speed networks. However, there are so many uncertain issues that require further investigation before its deployment into real wide area networks (WAN). The impacts of self-similar traffic on network performance has received much attention recently, however the effects of DS deployment on self-similar traffic networks has not been fully investigated yet. Therefore, the objective of this paper is to study QoS measures in priority queues under self-similar traffic. We first introduce the techniques that we use to generate self-similar network traffic, as well as the methods of how to design and implement priority queues through OPNET. Then we present our statistical results from a simulation study with synthesized self-similar traffic. Our study results show that self-similar traffic, compared with traditional short-range dependent (SRD) models, requires longer queues and thus larger buffers in the DS network design.
| Original language | English |
|---|---|
| Publication status | Published - 2002 Dec 1 |
| Event | 2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States Duration: 2002 Aug 4 → 2002 Aug 7 |
Other
| Other | 2002 45th Midwest Symposium on Circuits and Systems |
|---|---|
| Country | United States |
| City | Tulsa, OK |
| Period | 02/8/4 → 02/8/7 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
Cite this
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Impact of self-similarity on performance evaluation in differential service networks. / Quan, Zhi; Chung, Jong Moon.
2002. Paper presented at 2002 45th Midwest Symposium on Circuits and Systems, Tulsa, OK, United States.Research output: Contribution to conference › Paper
TY - CONF
T1 - Impact of self-similarity on performance evaluation in differential service networks
AU - Quan, Zhi
AU - Chung, Jong Moon
PY - 2002/12/1
Y1 - 2002/12/1
N2 - Priority queueing has currently become a popular research topic as a low-cost effective method to enable both quality of service (QoS) and differential services (DS) over large-scale high-speed networks. However, there are so many uncertain issues that require further investigation before its deployment into real wide area networks (WAN). The impacts of self-similar traffic on network performance has received much attention recently, however the effects of DS deployment on self-similar traffic networks has not been fully investigated yet. Therefore, the objective of this paper is to study QoS measures in priority queues under self-similar traffic. We first introduce the techniques that we use to generate self-similar network traffic, as well as the methods of how to design and implement priority queues through OPNET. Then we present our statistical results from a simulation study with synthesized self-similar traffic. Our study results show that self-similar traffic, compared with traditional short-range dependent (SRD) models, requires longer queues and thus larger buffers in the DS network design.
AB - Priority queueing has currently become a popular research topic as a low-cost effective method to enable both quality of service (QoS) and differential services (DS) over large-scale high-speed networks. However, there are so many uncertain issues that require further investigation before its deployment into real wide area networks (WAN). The impacts of self-similar traffic on network performance has received much attention recently, however the effects of DS deployment on self-similar traffic networks has not been fully investigated yet. Therefore, the objective of this paper is to study QoS measures in priority queues under self-similar traffic. We first introduce the techniques that we use to generate self-similar network traffic, as well as the methods of how to design and implement priority queues through OPNET. Then we present our statistical results from a simulation study with synthesized self-similar traffic. Our study results show that self-similar traffic, compared with traditional short-range dependent (SRD) models, requires longer queues and thus larger buffers in the DS network design.
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M3 - Paper
ER -