Decentralized resource coordination across service workflows in a cloud environment

Y. Wei, M. Brian Blake

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

3 Scopus citations

Abstract

As Cloud computing becomes one of the mainstream distributed computing paradigms, cloud users are generating more intricate business processes and scientific jobs which involve the use of service workflows. Efficient management of those workflows' resources can help save cost and improve QoS. In this paper, we investigate the problem of coordinating resources beyond the boundary of a single workflow. An agent-based decentralized algorithm is proposed to match resource supply and demand from different workflows. The proposed algorithm uses multiple phases of information exchange and local adjustments to produce conflict free resource reallocation decisions. Experiments are conducted using simulation programs and synthetic data. Comparisons with a centralized method demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - 22nd IEEE International WETICE Conference, WETICE 2013
Pages15-20
Number of pages6
DOIs
StatePublished - Sep 11 2013
Event2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013 - Hammamet, Tunisia
Duration: Jun 17 2013Jun 20 2013

Publication series

NameProceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE
ISSN (Print)1524-4547

Other

Other2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013
CountryTunisia
CityHammamet
Period6/17/136/20/13

Keywords

  • agent-based negotiation
  • cloud computing
  • decentralized resource coordination
  • service workflow management

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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  • Cite this

    Wei, Y., & Blake, M. B. (2013). Decentralized resource coordination across service workflows in a cloud environment. In Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013 (pp. 15-20). [6570576] (Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE). https://doi.org/10.1109/WETICE.2013.38