An Alternating Service Model with Self-Similar Input to Provide Guaranteed QoS in Wireless Internet

M. Iftikhar, B. Landfeldt, M. Çağlar
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引用次数: 8

Abstract

Over the past few years, we have witnessed a growing popularity of new wireless architectures such as 3G, Wi-Fi and Wi-Max due to the increase in demand for wireless Internet access. The all-IP based future mobile and wireless network model is expected to be the most dominant architecture for QoS provisioning in next-generation wireless networks, mainly due to its scalability and capability of inter-working heterogeneous wireless access networks. Recently, the rapid growth of various wireless infrastructures and the interesting mixture of wireless traffic generated by large number of devices (PDAs, Laptops and cell-phones) have diverted the attention of wireless research community towards understanding the nature of traffic carried by different wireless architectures. A series of recent studies on GPRS aggregated traffic, WAP and Web traffic has proven that wireless traffic exhibits strong long-range dependency. However, much of the current understanding of wireless traffic modeling builds on classical Poisson distributed traffic, which can yield misleading results and hence poor wireless network planning. In this paper, we contribute to the accurate modeling of wireless IP traffic by considering two different types of traffic that exhibit long-range dependency and self-similarity. We consider a model of two queues based on G/M/l queueing system and analyze it on the basis of 1-limited polling service and find exact bounds on packet delay.
一种具有自相似输入的交替服务模型在无线互联网中提供保证的服务质量
在过去几年中,由于无线互联网接入需求的增加,我们目睹了3G、Wi-Fi和Wi-Max等新型无线架构的日益普及。基于全ip的未来移动和无线网络模型预计将成为下一代无线网络中QoS提供的最主要架构,主要是由于其可扩展性和互用异构无线接入网络的能力。最近,各种无线基础设施的快速发展和大量设备(pda、笔记本电脑和手机)产生的无线流量的有趣混合,将无线研究社区的注意力转移到理解不同无线架构承载的流量的本质上。最近对GPRS聚合业务、WAP和Web业务的一系列研究证明,无线业务具有很强的远程依赖性。然而,目前对无线流量建模的大部分理解都建立在经典泊松分布式流量的基础上,这可能会产生误导性的结果,从而导致无线网络规划不佳。在本文中,我们通过考虑两种表现出远程依赖和自相似性的不同类型的流量,有助于无线IP流量的准确建模。考虑了一种基于G/M/l排队系统的双队列模型,并在1限轮询服务的基础上对其进行了分析,得到了准确的分组延迟边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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