DocumentCode
2253466
Title
Detecting Workload Hotspots and Dynamic Provisioning of Virtual Machines in Clouds
Author
Challa, Narsimha Reddy
Author_Institution
IBM India Software Labs., IBM India Pvt. Ltd., Hyderabad, India
fYear
2012
fDate
11-12 Oct. 2012
Firstpage
1
Lastpage
4
Abstract
One of the primary goals of Cloud Computing is to provide reliable QoS. The users of the cloud applications may access their applications from any Region. The cloud infrastructure must be Elastic enough to improve the QoS requirements. In order to provide reliable QoS, the cloud infrastructure must be able to detect the potential workload hotspots for various cloud applications across Regions and take appropriate measures. This paper presents an approach to detect workload hotspots using application access pattern based method in the cloud. This paper also presents how the existing VDN based Virtual Machine provisioning approach [1] can be used to provision new Virtual Appliances at the detected hotspots dynamically and efficiently at the potential hotspots to improve the QoS.
Keywords
cloud computing; quality of service; software reliability; virtual machines; QoS; VDN; cloud computing; cloud infrastructure; dynamic provisioning; pattern access; reliability; virtual appliance; virtual machine provisioning approach; workload hotspot detection; Home appliances; Load management; Quality of service; Time factors; Virtual machining; Web servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing in Emerging Markets (CCEM), 2012 IEEE International Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-4673-4421-0
Electronic_ISBN
978-1-4673-4420-3
Type
conf
DOI
10.1109/CCEM.2012.6354606
Filename
6354606
Link To Document