DocumentCode :
719123
Title :
VM selection framework for market based federated cloud environment
Author :
Gahlawat, Monica ; Sharma, Priyanka
Author_Institution :
L.J Inst. of Comput. Applic., Affiliated to Gujarat Technol. Univ., Ahmedabad, India
fYear :
2015
fDate :
15-16 May 2015
Firstpage :
695
Lastpage :
698
Abstract :
Cloud computing has evolved as a paradigm shift to deliver computing and storage services on demand to facilitate the consumers. Inter-connecting Cloud computing system components i.e. servers, virtual machines(VMs), application services is essential to exchange information between the services to avoid the problems of provisioning, efficiency bottleneck and single point of failure that are largely associated with traditional centralized systems. This problem becomes huge if we interconnect the components in federated clouds distributed in physically dispersed areas. Distributed Hash Table and tree based data structures play an important role to help communicate cloud computing system components. Tree based data structures are also used as index to perform the search faster. Currently most of the cloud providers use the keyword based search. Multi-attribute search optimizes the search process and also performs the search faster. The paper proposes a Divided KD tree based VM Selection framework in market oriented cloud computing.
Keywords :
cloud computing; tree data structures; virtual machines; application services; cloud computing; computing services; distributed hash table; divided KD tree based VM selection framework; keyword based search; market based federated cloud environment; market oriented cloud computing; storage services; tree based data structures; virtual machines; Cloud computing; Data structures; Indexing; Peer-to-peer computing; Search problems; Cloud Computing; Distributed Hash Table; KD tree; Virtual Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
Type :
conf
DOI :
10.1109/CCAA.2015.7148464
Filename :
7148464
Link To Document :
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