DocumentCode
120732
Title
Survey of virtual machine placement in federated clouds
Author
Gahlawat, Monica ; Sharma, Parmanand
Author_Institution
L.J. Inst. of Comput. Applic., Ahmedabad, India
fYear
2014
fDate
21-22 Feb. 2014
Firstpage
735
Lastpage
738
Abstract
Cloud computing provides facility to its customers to dynamically scale up the applications, platform and the hardware infrastructure. But the resources provided from one cloud provider are finite and at some point of time can violate the SLA (service level agreements). One approach can be used to better facilitate the customers is to scale the applications, software platforms and the infrastructure to multiple independent clouds i.e. federated clouds. The federated clouds can share the resources with other cloud providers as the scale and load increases and can pay for the service on usage based. Virtual machine allocation is also an important parameter of federated clouds, because multiple clouds are exchanging the VM (Virtual Machine) with one another and the trading policies of all the clouds is not same. VM Allocation can be optimized for cost-effective Virtual machine allocation. This paper is a survey of all VM allocation policies available in federated clouds.
Keywords
cloud computing; contracts; resource allocation; virtual machines; SLA violation; VM allocation optimization; VM allocation policies; cloud computing; cloud provider; cost-effective virtual machine allocation; federated clouds; hardware infrastructure; multiple independent clouds; resource sharing; service level agreement; software platform; trading policies; virtual machine placement; Cloud computing; Clouds; Computer architecture; Reservoirs; Resource management; Virtual machining; Cloud Computing; Federated Clouds; VM Allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location
Gurgaon
Print_ISBN
978-1-4799-2571-1
Type
conf
DOI
10.1109/IAdCC.2014.6779415
Filename
6779415
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