Dynamically optimized cost based task scheduling in Cloud Computing

Task scheduling is one of the main research topic in Cloud Computing. Task scheduling is done at user level and system level. At user level, scheduling deals with the problems between service provider and customer whereas at system level, scheduling deals with resource management within datacenter. The objective of this study is to use the conventional scheduling concepts to merge them to provide solution for better and more efficient task scheduling which is beneficial to both user and service provider. The proposed scheduling approach in cloud employs a dynamically optimized cost-based task scheduling algorithm for making efficient mapping of tasks to available resources in cloud. It aims to combine cost based task scheduling beneficial to user and dynamically optimized resource allocation strategy beneficial to service provider. It also improves computation/communication ratio and utilization of available resources by grouping the user tasks before resource allocation.