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 language | English |
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Title of host publication | Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015 |
Editors | Calton Pu, Ajay Mohindra |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1033-1036 |
Number of pages | 4 |
ISBN (Electronic) | 9781467372879 |
DOIs | |
Publication status | Published - 19 Aug 2015 |
Event | 8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States Duration: 27 Jun 2015 → 2 Jul 2015 |
Publication series
Name | Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015 |
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Conference
Conference | 8th IEEE International Conference on Cloud Computing, CLOUD 2015 |
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Country/Territory | United States |
City | New York |
Period | 27/06/15 → 2/07/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Federated clouds
- Resource allocation
- Resource mapping
- Subgraph matching
- Virtual machine placement