Vinod Kr. Saroha
ABSTRACT
Initially the client server database is created on the cloud. The servers are hereby categorized according to their processing time, speed and RAMs. On the basis of these configurational parameters they are classified as higher, intermediate and lower priority servers. The clients are categorized on basis of job requests and are differentiated into three priority types; viz. high priority, middle priority and low priority depending upon the processing need (time) of the job requests. The client job requests of longer time duration will take more processing time and hence shall be sent to the highest priority (configuration) server. In this paper we present the multilayered job scheduling approach on basis of preferences for both the client and the server. A high priority job request is executed by higher configuration server while the lower tasks are accomplished by the lower configuration servers; that helps in energy saving. If the higher server has finished up with its assigned jobs; then job requests from lower server are migrated to the higher server; which leads to load balancing with effective resource allocation. The overall process has been best illustrated with help of example wherein all the servers will execute the jobs requests in stipulated time. This fast execution helps the servers to free themselves early and results in better energy efficiency.
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Index Terms
- Implementing a Multi-layer Job Scheduling Approach with Effective Load Balancing and Energy Saving over a Cloud
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