DocumentCode
3564171
Title
Subgraph Matching for Resource Allocation in the Federated Cloud Environment
Author
Aral, Atakan ; Ovatman, Tolga
Author_Institution
Dept. of Comput. Eng., Istanbul Tech. Univ. Istanbul, Istanbul, Turkey
fYear
2015
Firstpage
1033
Lastpage
1036
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.
Keywords
cloud computing; computer centres; graph theory; resource allocation; virtual machines; CloudSim framework; VM topologies; cloud brokering; cloud data centers; federated cloud environment; resource allocation; resource capacities; subgraph matching; virtual machines; Bandwidth; Cloud computing; Computational modeling; Data models; Delays; Resource management; Topology; federated clouds; resource allocation; resource mapping; subgraph matching; virtual machine placement;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Print_ISBN
978-1-4673-7286-2
Type
conf
DOI
10.1109/CLOUD.2015.145
Filename
7214156
Link To Document