A Nature-Inspired approach for Load Balancing of tasks in cloud Computing using Equal Time Allocation
B. Mallikarjuna1, P. Venkata Krishna2
1B. Mallikarjuna, Assistant Professor, School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
2P. Venkata Krishna, Professor & Director, Department of Computer Science, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Andhra Pradesh, India.
Manuscript received on 01 December 2018 | Revised Manuscript received on 06 December 2018 | Manuscript Published on 26 December 2018 | PP: 46-50 | Volume-8 Issue- 2S2 December 2018 | Retrieval Number: BS2008128218/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is treated as one of the efficient paradigm for distributed computing. Due to the vast development in the internet world, scheduling of resources on cloud computing makes the issues. Load balancing over a virtual machines place a major role in efficient scheduling. In this paper, we propose a mechanism for load balancing among virtual machines by using a nature inspired approach called as honey bee foraging (LB-HBF). The task and virtual machine allocation mechanism which is used inside this LB-HBF is equal time allocation policy. This policy works efficiently for allocating the tasks to the virtual machines and reducing the task migrations over virtual machines. The experimental results showed the effectiveness of LB-HBF.
Keywords: Load Balancing, Tasks, Virtual Machines, Honey bee, Resource Management.
Scope of the Article: Computer Science and Its Applications