Abstract
Cloud computing is major component in our daily life; Integration of Cloud with smart grid brings an important role in electricity management. Fog computing concept is also introduced in this paper which helps to minimize the load on cloud. Many techniques are introduced in papers that includes Round Robin (RR), Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO) etc. In this paper authors introduce First Come First Serve (FCFS) load balancing technique with the broker policy of Closest Data Center to allocate resources for Virtual Machines (VM). FCFS algorithm results are compared with existing known algorithms which includes RR and Throttled algorithm. The Response Time (RT) is less in some clusters as compared to RR and Throttled algorithm. The main goal is to optimise the Response Time (RT) on cloud.
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Saeed, F. et al. (2019). Load Balancing on Cloud Analyst Using First Come First Serve Scheduling Algorithm. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_42
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DOI: https://doi.org/10.1007/978-3-319-98557-2_42
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