Title :
FairCPU: Architecture for Allocation of Virtual Machines Using Processing Features
Author :
Rego, Paulo Antonio Leal ; Coutinho, Emanuel Ferreira ; Gomes, Danielo ; De Souza, José Neuman
Author_Institution :
Fed. Univ. of Ceara (UFC), Fortaleza, Brazil
Abstract :
This paper proposes an architecture to handle the allocation of virtual machines based on the processing power for heterogeneous Clouds, where there is a wide variety of CPU types. Our major contribution is a novel representation of the processing capacity in terms of the Processing Unit (PU) and the CPU usage limitation in order to isolate the processing capability from the Physical Machine (PM) where the Virtual Machine (VM) is allocated. The efficiency of the proposed architecture is validated by extensive replications of five experiments using a real private cloud. The results show that it is possible to use the proposed idea to define a PU, supported by the CPU usage limitation, to enable the VM´s processing power remain at the same level regardless of the PM.
Keywords :
cloud computing; multiprocessing systems; virtual machines; CPU usage limitation; FairCPU; VM processing power; heterogeneous cloud; physical machine; private cloud; processing feature; virtual machine allocation; Benchmark testing; Cloud computing; Computer architecture; Monitoring; Resource management; Servers; Architecture; CPU limitation; Virtual Machine;
Conference_Titel :
Utility and Cloud Computing (UCC), 2011 Fourth IEEE International Conference on
Conference_Location :
Victoria, NSW
Print_ISBN :
978-1-4577-2116-8
DOI :
10.1109/UCC.2011.62