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Modeling epidemic information dissemination on mobile devices with finite buffers

Published:06 June 2005Publication History

ABSTRACT

Epidemic algorithms have recently been proposed as an effective solution for disseminating information in large-scale peer-to-peer (P2P) systems and in mobile ad hoc networks (MANET). In this paper, we present a modeling approach for steady-state analysis of epidemic dissemination of information in MANET. As major contribution, the introduced approach explicitly represents the spread of multiple data items, finite buffer capacity at mobile devices and a least recently used buffer replacement scheme. Using the introduced modeling approach, we analyze seven degrees of separation (7DS) as one well-known approach for implementing P2P data sharing in a MANET using epidemic dissemination of information. A validation of results derived from the analytical model against simulation shows excellent agreement. Quantitative performance curves derived from the analytical model yield several insights for optimizing the system design of 7DS.

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  1. Modeling epidemic information dissemination on mobile devices with finite buffers

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              • Published in

                cover image ACM Conferences
                SIGMETRICS '05: Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
                June 2005
                428 pages
                ISBN:1595930221
                DOI:10.1145/1064212
                • cover image ACM SIGMETRICS Performance Evaluation Review
                  ACM SIGMETRICS Performance Evaluation Review  Volume 33, Issue 1
                  Performance evaluation review
                  June 2005
                  417 pages
                  ISSN:0163-5999
                  DOI:10.1145/1071690
                  Issue’s Table of Contents

                Copyright © 2005 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 6 June 2005

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