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Multi-agent system for distributed cache maintenance

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Original languageEnglish
Title of host publicationAdvances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection - 15th International Conference, PAAMS 2017, Proceedings
PublisherSpringer Verlag
Pages157-169
Number of pages13
Volume10349 LNCS
ISBN (Print)9783319599298
DOIs
Publication statusPublished - 2017
Event15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017 - Porto, Portugal
Duration: 21 Jun 201723 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10349 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017
CountryPortugal
CityPorto
Period21/06/201723/06/2017

Documents

  • Multi-Agent System for_VENKATA_Publishedonline3June2017_GREEN AAM

    CameraReady_Paper23.pdf, 475 KB, application/pdf

    6/03/2018

    Accepted author manuscript

    © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

King's Authors

Abstract

With the growing number of applications that require large data transfers from distributed databases, there is a great need for efficient distributed data caching methods. It is essential that data is cached at the best and optimal locations between users and data stores. Cache management should consider patterns about data usage and make dynamic decisions to place data across cache units. In this paper, we have modelled the distributed data caching mechanism using multi-agent system allowing to test strategies and algorithms for data placement that later can be incorporated in the real life applications. Subsequently, we demonstrate the application of this system to study various distributed coordination strategies for identifying effective data placement and thus improving overall cache performance. This study is significant for distributed system applications.

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