Research on P2P resources search algorithm based on cloud computing

DOI

10.2991/icsem.2013.112How to use a DOI?

Keywords

cloud computing, P2P, chord, routing table, super cloud node

Abstract

This paper puts forward a model combined cloud computing and P2P, and then achieves chord resource search algorithm in the model. Because chord algorithm one hand, does not consider the problem of node heterogeneity, on the other hand, its routing table has large redundant information. So chord algorithm is improved from the two areas, and last MRC-chord is proposed. The algorithm first defines that the nodes of the same geographical form a ring, and in each ring, the node with strongest overall performance is selected to be super cloud node, all of the super cloud nodes form the master ring , then improves routing table. Experimental results show that: the improved algorithm can reduce average routing hops and average network delay effectively, so improves the efficiency of resource search.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junwei GE
AU  - Yanfeng Wang
AU  - Yiqiu FANG
PY  - 2013/04
DA  - 2013/04
TI  - Research on P2P resources search algorithm based on cloud computing
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 570
EP  - 573
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.112
DO  - 10.2991/icsem.2013.112
ID  - GE2013/04
ER  -