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/Entry/PoemConference 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
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

Publication series

NameProceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
Volume2

Other

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Fingerprint

Dive into the research topics of 'Equality or efficiency: A game of distributed multi-type fair resource allocation on computational agents'. Together they form a unique fingerprint.

Cite this