DocumentCode :
3697494
Title :
Adopting a clustering approach toward a scalable IaaS cloud datacenters
Author :
Jamal Talbi;Abdelkrim Haqiq
Author_Institution :
Computer, Networks, Mobility and Modeling laboratory, Department of Mathematics and Computer, FST, Hassan 1 University, Settat, Morocco
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
Cloud computing is the promising technology that provides computational, storage, network and database resources by employing the virtualization technology in the infrastructure layer. Nowadays, most of the applications are hosted in the multi-tenant based virtualized cloud environment. Scalability is the challenging task in this environment for effective utilization of the resources and to improve the profit of the cloud service providers. Recently, the companies and enterprises are tried to realize the scalability in terms of application, platform, database and infrastructure level. Thus, to solve the scalability issue, we propose an approach for improving the process of resource monitoring and management in large cloud datacenters by applying a quantitative methodology based on clustering techniques that measure the similarity between virtual machines (VMs) behaviors in terms of resource utilization. This model will help administrators to make decision about the management of resources in IaaS cloud systems.
Keywords :
"Cloud computing","Monitoring","Scalability","Clustering algorithms","Virtual machining","Servers","Resource management"
Publisher :
ieee
Conference_Titel :
Cloud Technologies and Applications (CloudTech), 2015 International Conference on
Type :
conf
DOI :
10.1109/CloudTech.2015.7336979
Filename :
7336979
Link To Document :
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