Adaptive file distribution in P2P network using ant colony optimization for smart home environment

Jeong Jun Suh, Shan Guo Quan, Seung Hoon Park, Young Yong Kim

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper, we consider the file distribution problem in peer-to-peer networks. We propose a novel algorithm, called AntReplica, for an efficient and adaptive replication of large files in the Internet environment. AntReplica is inspired by the stigmergy model of communication observed in ant colonies, and allows for peers to experience the short distribution delay. In order to replicate an original file among group member nodes, the file is partitioned into small chips of equal size, and each chip is transferred to a member node in proportion to the probability of selecting a link. Then, each node propagates it to the remaining nodes in the group. Proposed method achieves significantly reduced file replication time as we demonstrate through experiment with an event-driven simulator.

Original languageEnglish
Pages342-349
Number of pages8
DOIs
Publication statusPublished - 2006
Event2006 International Conference on Hybrid Information Technology, ICHIT 2006 - Cheju Island, Korea, Republic of
Duration: 2006 Nov 92006 Nov 11

Other

Other2006 International Conference on Hybrid Information Technology, ICHIT 2006
CountryKorea, Republic of
CityCheju Island
Period06/11/906/11/11

All Science Journal Classification (ASJC) codes

  • Media Technology

Fingerprint Dive into the research topics of 'Adaptive file distribution in P2P network using ant colony optimization for smart home environment'. Together they form a unique fingerprint.

  • Cite this

    Suh, J. J., Quan, S. G., Park, S. H., & Kim, Y. Y. (2006). Adaptive file distribution in P2P network using ant colony optimization for smart home environment. 342-349. Paper presented at 2006 International Conference on Hybrid Information Technology, ICHIT 2006, Cheju Island, Korea, Republic of. https://doi.org/10.1109/ICHIT.2006.253632