Equality or efficiency: A game of distributed multi-type fair resource allocation on computational agents

Qinyun Zhu, Jae C Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We propose a game theoretical approach to multitype fair resource allocation algorithms in a distributed heterogeneous environment. Distributed approaches can benefit large scale computing systems, especially if the hardware computing resources in the system are organized in a decentralized manner as in federated clusters and cyber physical systems. The simulation results show that our approach has comparable performance to well-known centralized and decentralized approaches in fairness and resource utilization, while relies less on communications.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-142
Number of pages4
Volume2
ISBN (Electronic)9781467396172
DOIs
StatePublished - Feb 2 2016
Event2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015 - Singapore, Singapore
Duration: Dec 6 2015Dec 9 2015

Other

Other2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015
CountrySingapore
CitySingapore
Period12/6/1512/9/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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    Zhu, Q., & Oh, J. C. (2016). Equality or efficiency: A game of distributed multi-type fair resource allocation on computational agents. In Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015 (Vol. 2, pp. 139-142). [7397350] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI-IAT.2015.96