Cache Optimization Models and Algorithms

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Foundations and Trends in Communications and Information Theory Pub Date : 2019-12-27 DOI:10.1561/0100000104
G. Paschos, G. Iosifidis, G. Caire
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引用次数: 29

Abstract

Storage resources and caching techniques permeate almost every area of communication networks today. In the near future, caching is set to play an important role in storage-assisted Internet architectures, information-centric networks, and wireless systems, reducing operating and capital expenditures and improving the services offered to users. In light of the remarkable data traffic growth and the increasing number of rich-media applications, the impact of caching is expected to become even more profound than it is today. Therefore, it is crucial to design these systems in an optimal fashion, ensuring the maximum possible performance and economic benefits from their deployment. To this end, this article presents a collection of detailed models and algorithms, which are synthesized to build a powerful analytical framework for caching optimization.
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缓存优化模型和算法
如今,存储资源和缓存技术几乎渗透到通信网络的每个领域。在不久的将来,缓存将在存储辅助的Internet体系结构、以信息为中心的网络和无线系统中发挥重要作用,减少操作和资本支出,并改进提供给用户的服务。鉴于数据流量的显著增长和富媒体应用程序数量的不断增加,缓存的影响预计将比现在更加深远。因此,以最佳方式设计这些系统至关重要,以确保其部署的最大性能和经济效益。为此,本文提出了一系列详细的模型和算法,这些模型和算法综合起来构建了一个强大的缓存优化分析框架。
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来源期刊
Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.90
自引率
0.00%
发文量
6
期刊介绍: Foundations and Trends® in Communications and Information Theory publishes survey and tutorial articles in the following topics: - Coded modulation - Coding theory and practice - Communication complexity - Communication system design - Cryptology and data security - Data compression - Data networks - Demodulation and Equalization - Denoising - Detection and estimation - Information theory and statistics - Information theory and computer science - Joint source/channel coding - Modulation and signal design - Multiuser detection - Multiuser information theory
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