Traffic-aware clustering and VM migration in distributed data center

Marco Cello, Kang Xi, Jonathan H. Chao, Mario Marchese

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

Abstract

In this paper we propose an algorithmic approach designed to tackle and reduce the congestion events in a Distributed Data Center (DDC). Our solution is based on virtual machines (VMs) migration and, differently from the literature, it analyzes the VMs communication patterns in order to find 'tight' clusters of VMs to be migrated.

Original languageEnglish (US)
Title of host publicationDCC 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Distributed Cloud Computing
PublisherAssociation for Computing Machinery
Number of pages1
ISBN (Print)9781450329927
DOIs
StatePublished - 2014
EventACM SIGCOMM 2014 Workshop on Distributed Cloud Computing, DCC 2014 - Chicago, IL, United States
Duration: Aug 18 2014Aug 18 2014

Publication series

NameDCC 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Distributed Cloud Computing

Other

OtherACM SIGCOMM 2014 Workshop on Distributed Cloud Computing, DCC 2014
CountryUnited States
CityChicago, IL
Period8/18/148/18/14

Keywords

  • VM placement
  • cloud computing
  • congestion control
  • data center

ASJC Scopus subject areas

  • Software

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  • Cite this

    Cello, M., Xi, K., Chao, J. H., & Marchese, M. (2014). Traffic-aware clustering and VM migration in distributed data center. In DCC 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Distributed Cloud Computing (DCC 2014 - Proceedings of the ACM SIGCOMM 2014 Workshop on Distributed Cloud Computing). Association for Computing Machinery. https://doi.org/10.1145/2627566.2627582