In this paper we have proposed an energy efficient load balancing algorithm for cloud computing. This proposed algorithm categorized the virtual machines and the queued jobs in HIGH, MEDIUM and LOW clusters considering different criteria, jobs would be assigned accordingly to competent virtual machines. The proposed algorithm is considering battery power also for categorize its cluster, which promotes it as energy efficient algorithm.

Cloud Computing, Cluster, Energy Efficient Algorithm, Load Balancing, Virtual Machine

[1] The NIST Definition of Cloud Computing, Peter Mell Timothy Grance, NIST Special Publication 800-145
[2] Enhanced Equally Distributed Load Balancing Algorithm For Cloud Computing, Shreyas Mulay, Sanjay Jain, IJRET: International Journal of Research in Engineering and Technology ISSN: 2319- 1163.
[3] Chen, H., Wang, F., Helian, N., & Akanmu, G. (2013, February). User-priority guided Min-Min scheduling algorithm for load balancing in cloud computing. In Parallel computing technologies (PARCOMPTECH), 2013 national conference on (pp. 1-8). IEEE
[4] Y. Fang, F. Wang, and J. Ge, “A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing”, Web InformationSystems and Mining, Lecture Notes in Computer Science, Vol. 6318, 2010, pages 271-277.
[5] Chen, H., Liu, Q., & Ai, Q. (2016, August). A New Heuristic Scheduling Strategy LBMM in Cloud Computing. In Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016 8th International Conference on (Vol. 1, pp. 314-317). IEEE
[6] Anitha H M, P. Jayarekha , "Security Challenges of Virtualization in Cloud Environment", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.1, pp.37-43, 2001
[7] Kimpan, W., & Kruekaew, B. (2016, August). Heuristic Task Scheduling with Artificial Bee Colony Algorithm for Virtual Machines. In Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems, 2016 Joint 8th International Conference on (pp. 281- 286). IEEE.
[8] Agarwal, M., Srivastava, D.: A Genetic Algorithm inspired task scheduling in Cloud Computing. In : International Conference on Computing, Communication and Automation (ICCCA2016) (2016)
[9] B. Mondal,., K. Dasgupta, P. Dutta, P.: Load Balancig inCloud Computing using Stochastic Hill Climbing-A softComputing Appproach. ELEVIER (2012)
[10] Vanithaa, M., Marikkannu, P.: Effective resource utilization in cloud environment through a dynamic well Organised load balancing algorithm for virtual machines. Computers and Electrical Engineering (2017)
[11] Wang, T., Liu, Z., Chen, Y., Xu, Y., & Dai, X. (2014, August). Load balancing task scheduling based on genetic algorithm in cloud computing. In Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on (pp. 146-152). IEEE.
[12] Ariharan, V., Manakattu, S.: Neighbour Aware Random Sampling (NARS) algorithm for load balancing in Cloud computing. 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) (2015).
[13] Patel, Ronak & Patel, Swachil & Patel, Dhaval & DesaiTushar. (2016). Improved GA using population reduction for load balancing in cloud computing.2372-2374. 10.1109/ICACCI.2016.7732410.
[14] A.B. Majumder, S. Sil, S. Das, A. Mondal, "Priority Based Least Waiting Time Load Balancing Algorithm Applied in Cloud Computing", International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.384-388, 2018.
[15] Annwesha Banerjee Majumder Dipak Kumar Shaw and Sourav Majumder “ A Load Balancing Algorithm for Selection of Competent Server in Cloud Environment Based on Capacity, Load and Energy” ” Indian Journal of Computer Science and Engineering (IJCSE) Vol. 8 No. 4 Aug-Sep 2017