Adaptive service workflow configuration and agent-based virtual resource management in the cloud

Yi Wei, M. Brian Blake

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

17 Scopus citations

Abstract

Cloud computing represents a viable approach for hosting scalable applications and services. As business processes and scientific jobs become more intricate, users may have unbalanced and evolving requirements that are associated to the specific underlying sub-job or service. In this paper, we investigate the problem of managing virtual resources for service workflows in a cloud environment and propose an agent-based framework that makes resource management decisions that are customized to optimize different levels of the application. To facilitate the management process, we introduce and evaluate an adaptive workflow configuration algorithm to assign virtual machines to services (composed within a workflow) while aggregating virtual machines on appropriately-resourced physical machines. We use simulations of real-world networked cluster traces to evaluate and demonstrate the effectiveness of the algorithm.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013
Pages279-284
Number of pages6
DOIs
StatePublished - Aug 12 2013
Event1st IEEE International Conference on Cloud Engineering, IC2E 2013 - San Francisco, CA, United States
Duration: Mar 25 2013Mar 28 2013

Publication series

NameProceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013

Other

Other1st IEEE International Conference on Cloud Engineering, IC2E 2013
CountryUnited States
CitySan Francisco, CA
Period3/25/133/28/13

Keywords

  • Adaptive configuration algorithm
  • Cloud computing
  • Resource management framework
  • Service workflow

ASJC Scopus subject areas

  • Software

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  • Cite this

    Wei, Y., & Blake, M. B. (2013). Adaptive service workflow configuration and agent-based virtual resource management in the cloud. In Proceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013 (pp. 279-284). [6529294] (Proceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013). https://doi.org/10.1109/IC2E.2013.45