File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Social-optimized win-win resource allocation for self-organizing cloud

TitleSocial-optimized win-win resource allocation for self-organizing cloud
Authors
KeywordsAvailability
Bandwidth
Peer to peer computing
Pricing
Protocols
Resource management
Vectors
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800791
Citation
The 2011 International Conference on Cloud and Service Computing (CSC), Hong Kong, China, 12-14 December 2011. In Proceedings of CSC, 2011, p. 251-258 How to Cite?
AbstractWith the increasing scale of applications and the number of users, we design a Self-organizing Cloud (SoC) which aims to make use of the distributed volunteer computers or dedicated machines to provide powerful computing ability. These resources are provisioned elastically according to user’s specific demand, by leveraging virtual machine (VM) resource isolation technology. Based on such a framework, we propose a social-optimized auction-based resource allocation scheme, which mainly tackles two issues: (1) how to make full use of the widely dispersed multi-attribute idle resources to construct a win-win situation, such that each task schedule could let both sides (resource providers and consumers) be satisfied with their final payoffs. (2) The total resource utility welfare should also be optimized to guarantee the overall performance around the global system. The key challenge of getting the win-win effect with social optimization is its provable NP-completeness. Finally, we validate that our approach can effectively improve the resource contributor’s payoffs up to about five times as the level without our method via simulation work. Meanwhile, our approach can also keep a high level of the processing rate for the task scheduling.
Persistent Identifierhttp://hdl.handle.net/10722/144629
ISBN

 

DC FieldValueLanguage
dc.contributor.authorDi, Sen_US
dc.contributor.authorWang, CLen_US
dc.contributor.authorCheng, Len_US
dc.contributor.authorChen, Len_US
dc.date.accessioned2012-02-03T06:16:59Z-
dc.date.available2012-02-03T06:16:59Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 International Conference on Cloud and Service Computing (CSC), Hong Kong, China, 12-14 December 2011. In Proceedings of CSC, 2011, p. 251-258en_US
dc.identifier.isbn978-1-4577-1637-9-
dc.identifier.urihttp://hdl.handle.net/10722/144629-
dc.description.abstractWith the increasing scale of applications and the number of users, we design a Self-organizing Cloud (SoC) which aims to make use of the distributed volunteer computers or dedicated machines to provide powerful computing ability. These resources are provisioned elastically according to user’s specific demand, by leveraging virtual machine (VM) resource isolation technology. Based on such a framework, we propose a social-optimized auction-based resource allocation scheme, which mainly tackles two issues: (1) how to make full use of the widely dispersed multi-attribute idle resources to construct a win-win situation, such that each task schedule could let both sides (resource providers and consumers) be satisfied with their final payoffs. (2) The total resource utility welfare should also be optimized to guarantee the overall performance around the global system. The key challenge of getting the win-win effect with social optimization is its provable NP-completeness. Finally, we validate that our approach can effectively improve the resource contributor’s payoffs up to about five times as the level without our method via simulation work. Meanwhile, our approach can also keep a high level of the processing rate for the task scheduling.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800791-
dc.relation.ispartofProceedings of the International Conference on Cloud and Service Computing, CSC 2011en_US
dc.rightsProceedings of the International Conference on Cloud and Service Computing. Copyright © IEEE.-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAvailability-
dc.subjectBandwidth-
dc.subjectPeer to peer computing-
dc.subjectPricing-
dc.subjectProtocols-
dc.subjectResource management-
dc.subjectVectors-
dc.titleSocial-optimized win-win resource allocation for self-organizing clouden_US
dc.typeConference_Paperen_US
dc.identifier.emailDi, S: sdi@cs.hku.hken_US
dc.identifier.emailWang, CL: clwang@cs.hku.hk-
dc.identifier.emailCheng, L: lwcheng@cs.hku.hk-
dc.identifier.emailChen, L: ling.chen@siat.ac.cn-
dc.identifier.authorityWang, CL=rp00183en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CSC.2011.6138529-
dc.identifier.scopuseid_2-s2.0-84863169430-
dc.identifier.hkuros198272en_US
dc.identifier.spage251-
dc.identifier.epage258-
dc.description.otherThe 2011 International Conference on Cloud and Service Computing (CSC), Hong Kong, China, 12-14 December 2011. In Proceedings of CSC, 2011, p. 251-258-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats