ABSTRACT
Cloud computing is a nascent technology which widely spreads among researchers. It provides users with infrastructure, platform and software as amenity which is effortlessly accessible via Internet. In cloud computing, there are numerous tasks needs to be executed by the existing resources to attain best performance, shortest response time, minimal total time for completion, utilization of resources etc. Due to these dissimilar objectives, we need to design, develop a noble scheduling strategy to outperform proper division of tasks on virtual machines. Recently existing scheduling algorithm may work proficiently in some perspective. But they are unable to achieve deadline of task and attain maximum profit. Based on the concept of space-shared scheduling policy, this paper presents cost-deadline based scheduling to schedule tasks with Cloud-sim by taking into account several parameters including task profit, task penalty, and throughput.
