Social-like analysis on Virtual Machine communication traces

Pannagiotis Kokkinos, T. A. Varvarigou, Aristotelis Kretsis, E. A. Varvarigos

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


We apply social network analysis methods on communication traces, collected from Virtual Machines (VMs) located in computing infrastructures, like a data center. Our aim is to identify important VMs, for example VMs that consume more energy or require more computational capacity, bandwidth, etc, than other VMs. We believe that this approach can handle the large number of VMs present in computing infrastructures and their interactions in the same way social interactions of millions of people are analyzed in today's social networks. We are interested in identifying measures that can locate important VMs or groups of interacting VMs, missed through other usual metrics and also capture the time-dynamicity of their interactions. In our work we use real traces and evaluate the applicability of the considered methods and measures.

Original languageEnglish
Title of host publication2012 1st IEEE International Conference on Cloud Networking, CLOUDNET 2012 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)9781467327985
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Conference on Cloud Networking (CLOUDNET 2012) - UPMC - University Pierre et Marie Curie, Paris, France
Duration: 28 Nov 201230 Nov 2012
Conference number: 1st


ConferenceIEEE International Conference on Cloud Networking (CLOUDNET 2012)
Abbreviated titleCLOUDNET 2012
Internet address


  • communication traces
  • resource management
  • social network analysis
  • virtual machines

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