Efficient Data Processing Using Skewness Algorithm for Resource allocation In Cloud like Environment

  Sneha Gajakosh,  S Sathish Kumar

Virtualized Physical Machines suffer performance degradation and power dissipation respectively. In this paper, system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. Thus minimizes the hardware cost, saves the energy and improves the system performance. The concept of “skewness” is introduced to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. Finally minimizes the overload in a server by mitigate the process from high load (i.e. hot spot) server into normal load server with the help of mitigation list. Thus avoid the failure of server under high load.

Keywords- resource allocation, load balancing and green computing

Unique Identification Number - IJEDR1402227
Page Number(s) - 2722-2726
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sneha Gajakosh,  S Sathish Kumar,   "Efficient Data Processing Using Skewness Algorithm for Resource allocation In Cloud like Environment", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.2722-2726, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402227.pdf