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An immunological approach for file recovery over JXTA peer‐to‐peer framework
Author(s) -
Nassef Mohammad,
Badr Amr,
Farag Ibrahim
Publication year - 2010
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/nem.741
Subject(s) - computer science , consistency (knowledge bases) , file sharing , distributed computing , file system , peer to peer , variety (cybernetics) , host (biology) , blockchain , scheme (mathematics) , decentralization , database , operating system , computer security , artificial intelligence , ecology , mathematical analysis , the internet , mathematics , political science , law , biology
Peer‐to‐peer (P2P) file‐sharing systems are characterized by highly replicated content that is distributed among nodes with enormous aggregate resources for storage and communication. File consistency is often compromised by undesirable changes, which should be detected and corrected in a timely fashion. The artificial immune system (AIS) is a novel evolutionary paradigm inspired by aspects of the biological immune system (BIS), such as protection, decentralization, autonomy, and anomaly detection. The AIS paradigm suggests a wide variety of mechanisms for solving complex computer problems. In this paper, we propose the ImmunoJXTA framework for file consistency management and file recovery using the main aspects of AIS in P2P systems. We implemented ImmunoJXTA on the JXTA P2P framework to recover distributed inconsistent files between peers efficiently. Promising results are achieved from experimental runs of the proposed framework. Copyright © 2010 John Wiley & Sons, Ltd.