Title :
Achieving the workload balance of the clusters
Author :
Ammar, Reda A. ; Sallam, Al Sayed A. H. ; Sarhan, Amany M. ; Ragab, Hebat-Allah M.
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of Connecticut, Storrs, CT, USA
Abstract :
Workload focuses not on time or level of effort but on the quality of attention devoted to individual cases. However, the load balancing is a technique to distribute workload evenly across two or more computers, network links, CPUs, hard drives, or other resources, in order to get optimal resource utilization, maximize throughput, minimize response time, and avoid overload. Using multiple components with load balancing, instead of a single component, may increase reliability through redundancy. We focus on load balancing policies for homogeneous clustered.
Keywords :
optimisation; pattern clustering; resource allocation; load balancing; overload avoidance; resource utilization; response time minimization; throughput maximization; workload balance; Clustering algorithms; Partitioning algorithms; Cluster Algorithms; Distributed system; Load balance; Software Restructuring;
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
Conference_Location :
Bilbao
Print_ISBN :
978-1-4673-0752-9
Electronic_ISBN :
978-1-4673-0751-2
DOI :
10.1109/ISSPIT.2011.6151540
