Subgraph Matching for Resource Allocation in the Federated Cloud Environment

Atakan Aral, Tolga Ovatman

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

5 Citations (Scopus)

Abstract

Federated clouds and cloud brokering allow migration of virtual machines across clouds and even deployment of cooperating VMs in different cloud data centers. In order to fully benefit from these new opportunities, we propose a heuristic that outputs a matching between virtual machine and cloud data centers by taking resource capacities, VM topologies, performance and resource costs into account. Results of our initial evaluation using the CloudSim Framework indicate that, proposed heuristic is promising for a better optimized placement of networked VM groups onto the federated cloud topology.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
EditorsCalton Pu, Ajay Mohindra
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1033-1036
Number of pages4
ISBN (Electronic)9781467372879
DOIs
Publication statusPublished - 19 Aug 2015
Event8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States
Duration: 27 Jun 20152 Jul 2015

Publication series

NameProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015

Conference

Conference8th IEEE International Conference on Cloud Computing, CLOUD 2015
Country/TerritoryUnited States
CityNew York
Period27/06/152/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Federated clouds
  • Resource allocation
  • Resource mapping
  • Subgraph matching
  • Virtual machine placement

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