DocumentCode :
598501
Title :
Gossip-based Hybrid Multi-attribute Overlay for Resource Discovery in Federated Clouds
Author :
Guan Le ; Ke Xu ; Junde Song
Author_Institution :
PCN & CAD Center, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
9-11 Sept. 2012
Firstpage :
279
Lastpage :
284
Abstract :
Federated clouds establish a model for independent cloud providers to cooperate and share resource to cope with unforeseen demand loads. One of the challenges in federated clouds is how to find suitable virtual machines to locate resource requests, with constrains of multiple resource attributes. This paper proposes a Gossip-based Hybrid Multi-attribute Overlay (GHMO) for effective resource discovery in federated clouds. GHMO enhances structured overlay with gossip protocol, expanding possible routing ranges to improve the efficiency multi-attribute search. A weight overlay is introduced in the case of routing costs among federated clouds, and an improved neighbor selection strategy is raised to reduce routing costs in process of multi-attribute search. Experimental evaluations show that the performance of the proposed approach is acceptable and stable, and the routing hop and cost is reduced compared with other multi-attribute search methods.
Keywords :
cloud computing; resource allocation; cloud providers; federated clouds; gossip based hybrid multiattribute overlay; gossip protocol; multiattribute search method; multiple resource attributes; neighbor selection strategy; resource discovery; resource request; routing cost; routing hop; virtual machines; weight overlay; Cloud computing; Computational modeling; Peer to peer computing; Routing; Routing protocols; Vectors; federated cloud; gossiping; hybrid overlay; peer-to-peer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering (ICEBE), 2012 IEEE Ninth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2601-8
Type :
conf
DOI :
10.1109/ICEBE.2012.52
Filename :
6468251
Link To Document :
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