Abstract
Scheduling of jobs is essential with distribution of load on processors and dynamic allocation of resources in order to get maximum benefit in terms of make-span. In scheduling the mapping of tasks are done based on its characteristics and user requirements. Many task parameters such as cost, load and required resources for the task completion are to be considered while scheduling. In cloud, the resources should be utilized efficiently and hence scheduling should consider the resource utilization to reduce the execution time and thereby increasing the throughput of the system. In this paper, we proposed a new scheduling algorithm supporting load balancing in cloud with respect to various types of quality services based on resources. To evaluate the scheduling algorithm, the performance metrics such as execution time, average execution time of each resource and number of tasks assigned to each resource are taken into consideration.
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Saranu, K.A., Jaganathan, S. (2015). Intensified Scheduling Algorithm for Virtual Machine Tasks in Cloud Computing. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 325. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2135-7_31
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DOI: https://doi.org/10.1007/978-81-322-2135-7_31
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Online ISBN: 978-81-322-2135-7
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