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
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;
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Print_ISBN :
978-1-4673-7286-2
DOI :
10.1109/CLOUD.2015.145