Optimizing Job distribution for load reduction
Manik Rakhra · IOSR Journal of Engineering · 2014
In today world multiple resources distributed geographically.Optimization is most critical area in cloud computing environments.Resource allocation and time scheduling is an area that need to be taken under high consideration especially if our motive of improvement is performance enhancement.For many jobs I/O is an exploring resource.Most of the data from the grid is going to be online system.The allocation of the processor and I/O resources must be synchronized for the effective performance.For this a tree scheduling policy to accommodate parallel jobs to manage the background workload .A static space time sharing policy is implemented to estimate the planned performance.