TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Comprehensive Investigations on QUEST: a Novel QoS-Enhanced Stochastic Packet Scheduler for Intelligent LTE Routers |
| 영문제목(English Title) |
Comprehensive Investigations on QUEST: a Novel QoS-Enhanced Stochastic Packet Scheduler for Intelligent LTE Routers |
| 저자(Author) |
Suman Paul
Malay Kumar Pandit
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| 원문수록처(Citation) |
VOL 12 NO. 02 PP. 0579 ~ 0603 (2018. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper we propose a QoS-enhanced intelligent stochastic optimal fair real-time packet scheduler, QUEST, for 4G LTE traffic in routers. The objective of this research is to maximize the system QoS subject to the constraint that the processor utilization is kept nearly at 100 percent. The QUEST has following unique advantages. First, it solves the challenging problem of starvation for low priority process - buffered streaming video and TCP based; second, it solves the major bottleneck of the scheduler Earliest Deadline First’s failure at heavy loads. Finally, QUEST offers the benefit of arbitrarily pre-programming the process utilization ratio.Three classes of multimedia 4G LTE QCI traffic, conversational voice, live streaming video, buffered streaming video and TCP based applications have been considered. We analyse two most important QoS metrics, packet loss rate (PLR) and mean waiting time. All claims are supported by discrete event and Monte Carlo simulations. The simulation results show that the QUEST scheduler outperforms current state-of-the-art benchmark schedulers. The proposed scheduler offers 37 percent improvement in PLR and 23 percent improvement in mean waiting time over the best competing current scheduler Accuracy-aware EDF.
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| 키워드(Keyword) |
Cache and deadline misses
hidden Markov model (HMM)
Long Term Evolution (LTE)
packet loss rate (PLR)
quality of service (QoS)
scheduler
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