DocumentCode :
1998605
Title :
Cost and deadline optimization along with resource allocation in cloud computing environment
Author :
Joy, Joshua ; Kumar, L. Krishna
Author_Institution :
Dept. of CSE, Nehru Inst. of Technol., Coimbatore, India
fYear :
2013
fDate :
19-21 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Cloud computing is the technology of next generation which combines everything into one. In Cloud computing a large number of cloud users can request a number of cloud services at the same time. So there must be a way in which all the resources are made available to the requesting user in a good manner to satisfy their needs. The mechanism of allocating available resources to the needed cloud applications through the internet is called Resource Allocation. Resource Allocation when done in conjunction with user annotations as introduced in this paper can reduce the cost incurred for a user and hence it can attract more cloud users in future. User annotations like cost, deadline can be used. Users are allowed to submit the parameters during job submission. The user inserted parameters will then be considered while allocating resources to them. The main purpose of this paper is to increase information sharing among Cloud Users and Cloud Providers and thus provide benefits to users in terms of the user annotated parameters.
Keywords :
cloud computing; cost reduction; resource allocation; Internet; cloud computing environment; cost optimization; deadline optimization; information sharing; job submission; resource allocation; user annotated parameters; user annotations; Cloud computing; Green computing; Resource management; Servers; Virtual machine monitors; Virtual machining; Xen; hypervisor; resource allocation; user annotation; virtual machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICACCS.2013.6938750
Filename :
6938750
Link To Document :
بازگشت