A Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing
Gaganjot Kaur, Sugandhi Midha · 2016
Green Cloud, a packet simulator focuses on maximising the system throughput with saving energy on different servers. Job Scheduling is one of the major issues in Green Cloud Computing. Some researches have been done on the preemptive scheduling on the Clouds as well as Green Clouds but lot more have to be done on Preemptive part of Priority Scheduling of the Green Clouds. To produce maximum throughput of Green Clouds the work has to be done by prioritizing the jobs on every cloud. In this paper we have proposed a new Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing (PPJSGC). Our paper focuses on the preemptive part as well as it calculates the energy consumption for scheduling the jobs on the computing servers. The computing servers are allocated to processes based on the best fit as per their energy requirements and server frequency availability. This job is being performed by the DVFS Controller in our algorithm. The load management, low energy consumption, and maximizing the revenue is the key motive of our study.