Load balancing strategy for optimal peak hour performance in cloud datacenters

• Published in: 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) pp. 1 - 5
• Main Authors: Kulkarni, Ashwin Kumar, Annappa, B.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2015
• Subjects: Algorithm design and analysis; Cloud computing; Heuristic algorithms; Load balancing; Load management; Load modeling; Resource management; uniform utilization; virtual machines; Virtual machining
• DOI: 10.1109/SPICES.2015.7091496

Cloud computing is a growing computing model that is influencing every other entity in the global business industry. Efficient load balancing techniques plays a major role in cloud computing by allocating requests to computing resources efficiently to prevent under/over-allocation of Virtual Machines (VMs) and improve the response time to clients. It is observed that during peak hours when request frequency is high, active VM load balancer (packaged in cloudAnalyst) over-allocates initial VMs and under-allocates later ones creating load imbalance. In this paper we propose a novel VM load balancing algorithm that ensures uniform allocation of requests to virtual machines even during peak hours when frequency of requests received in data center is very high to ensure faster response times to users. The simulations results suggest that our algorithm allocates requests to VM uniformly even during peak traffic situations.