Abstract
To enhance the speed of data transfer and remote server working performances, the suggested algorithm accomplishes load balancing in virtual machines by maintaining high availability and avoiding downtime issues when a datacenter experiences heavy traffic. This result has been obtained through minimizing the average response time and datacenter processing time by decently scheduling the requests and balancing the incoming load between the VMs. To achieve so, a combination of two scheduling techniques, Ant Colony Optimization System coupled with Threshold implemented Load Balancer algorithm has been designed. This paper also brings up comparisons among various cloud task scheduling algorithms such as Round-Robin (RR) and Active VM Load Balancer with the proposed technique. All algorithms have been simulated using Cloud Analyst toolkit package. Experimental results showed that the proposed Threshold based ACO system outperformed other stated algorithms.
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Banerjee, C., Roy, A., Roy, A., Saha, A., De, A.K. (2019). A Time Efficient Threshold Based Ant Colony System for Cloud Load Balancing. In: Mandal, J., Mukhopadhyay, S., Dutta, P., Dasgupta, K. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2018. Communications in Computer and Information Science, vol 1030. Springer, Singapore. https://doi.org/10.1007/978-981-13-8578-0_16
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DOI: https://doi.org/10.1007/978-981-13-8578-0_16
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