A novel framework for G/M/1 queuing system based on scheduling-cum-polling mechanism to analyze multiple classes of self-similar and LRD traffic
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  • 作者:Mohsin Iftikhar ; Hassan Mathkour ; Muhammad Imran ; Abdullah Bedaiwi…
  • 刊名:Wireless Networks
  • 出版年:2016
  • 出版时间:May 2016
  • 年:2016
  • 卷:22
  • 期:4
  • 页码:1269-1284
  • 全文大小:1,307 KB
  • 刊物类别:Computer Science
  • 刊物主题:Computer Communication Networks
    Electronic and Computer Engineering
    Business Information Systems
  • 出版者:Springer Netherlands
  • ISSN:1572-8196
  • 卷排序:22
文摘
Provisioning guaranteed Quality of Service (QoS) in multiservice wireless internet is challenging due to diverse nature of end-user traffic (e.g., voice, streaming video, interactive gaming) passing through heterogeneous interconnected domains with their own policies and procedures. Numerous studies have shown that multimedia traffic carried in wireless internet possesses self-similar and long-range dependent characteristics. Nonetheless, published work on wireless traffic modeling is merely based on traditional Poisson traffic distribution which fails to capture these characteristics and hence yield misleading results. Moreover, existing work related to self-similar traffic modeling is primarily based on conventional queuing and scheduling combinations which are simple approximations.This paper presents a novel analytical framework for G/M/1 queuing system based on realistic internet traffic distribution to provide guaranteed QoS. We analyze the behavior of multiple classes of self-similar traffic based on newly proposed scheduling-cum-polling mechanism (i.e., combination of priority scheduling and limited service polling model). We formulate the Markov chain for G/M/1 queuing system and present closed form expressions for different QoS parameters i.e., packet delay, packet loss rate, bandwidth, jitter and queue length. We develop a customized discrete event simulator to validate the performance of the proposed analytical framework. The proposed framework can help in building comprehensive service level agreements for heterogeneous wireless domains.KeywordsQueuing and schedulingG/M/1 Queuing systemPolling modelsQuality of serviceMarkov chainSelf-similar and long-range traffic

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