Abstract
Effective scheduling is a main anxiety for the execution of performance motivated applications. Cloud Computing has to work with the large number of tasks. The question arises, How to make appropriate decisions, while allocating hardware resources to the tasks and dispatching the computing tasks to resource pool that has become the challenging problem on cloud. In cloud environment task scheduling refers to an allocation of best suitable resources for the task which are executing with the consideration of different characteristics like makespan, time, cost, scalability, reliability, availability, resource utilization and other factors. We had tried to find the right method or sequence of heuristic in a given situation rather than trying to solve the problem directly. To check the importance of proposed algorithm we had compared it with the existing algorithms which had provided the far better results. We have introduced the improved hyper heuristic scheduling algorithm with the help of some efficient meta-heuristic algorithms, to find out the better task scheduling solutions for cloud computing systems and reduced the makespan time, and enhanced the utilization of cloud resources.
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Jain, A., Upadhyay, A. (2019). Cloud Scheduling Using Improved Hyper Heuristic Framework. In: Kamal, R., Henshaw, M., Nair, P. (eds) International Conference on Advanced Computing Networking and Informatics. Advances in Intelligent Systems and Computing, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-13-2673-8_15
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DOI: https://doi.org/10.1007/978-981-13-2673-8_15
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