A Nature Inspired Bee Colony Optimization Model for Improving Load Balancing in Cloud Computing
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: 51-55 | Volume-8 Issue- 2S2 December 2018 | Retrieval Number: BS2009128218/19©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 emerging fields in the distributed systems. In the recent years, the IT industry had rely more on the cloud distribution, this ultimately leads to the load over the VMs. In this paper, we are dealing with the load balancing issue in cloud computing. The reduction of load over the VMs will ultimately lead to the increase of performance. To solve the load balancing issue we proposed a model as bee colony optimization model which is inspired by the nature bee colony mechanism. The proposed bee colony mechanism considers the iteration process for efficient scheduling of tasks to the VMs. The performance estimation of the proposed algorithm is tested with other existing algorithms called as FCFS and Dynamic load balancing algorithm. The proposed algorithm is well performed when compared to the other algorithms.
Keywords: Cloud Computing, VMs, Load Balancing, Scheduling, Iteration.
Scope of the Article: Computer Science and Its Applications