Minimizing content provisioning cost in heterogeneous Social Wireless Networks

Mahmoud Taghizadeh, S. Biswas
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引用次数: 3

Abstract

This paper introduces an optimal cooperative caching policy for minimizing electronic content provisioning cost in Social Wireless Networks (SWNET). The SWNETs are typically formed by a collection of mobile devices, such as data enabled phones, net-books, electronic book readers etc., sharing common interests in electronic content, and physically gathering in settings such as University campuses, work places, malls, airports, train stations and other public places. Electronic object caching in such SWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the service and pricing dependencies among various stakeholders including the content provider, the network service provider, and the end consumers. Drawing motivation from Amazon's Kindle electronic book delivery business, this paper develops practical network, service, and pricing models which are then used for creating two optimal caching strategies, namely Split Cache and Distributed Benefit for minimizing content provisioning costs in networks with homogenous and heterogeneous object demands. In addition to proving the optimality of the mechanisms, the paper constructs extensive analytical and simulation models for analyzing the proposed caching strategies and their optimal operating points.
在异构社会无线网络中最小化内容供应成本
介绍了一种用于最小化社交无线网络(SWNET)中电子内容供应成本的最优协同缓存策略。SWNETs通常由一系列移动设备组成,如具有数据功能的电话、上网本、电子书阅读器等,它们共享对电子内容的共同兴趣,并实际聚集在大学校园、工作场所、商场、机场、火车站和其他公共场所等环境中。这种swnet中的电子对象缓存被证明能够降低内容供应成本,这在很大程度上取决于各种利益相关者(包括内容提供者、网络服务提供者和最终消费者)之间的服务和定价依赖关系。本文以亚马逊的Kindle电子图书配送业务为动力,开发了实用的网络、服务和定价模型,然后用于创建两种最优缓存策略,即拆分缓存和分布式收益,以最大限度地降低具有同质和异构对象需求的网络中的内容供应成本。除了证明机制的最优性外,本文还构建了广泛的分析和仿真模型来分析所提出的缓存策略及其最优工作点。
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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