Load Balancing of Fog Computing Centers: Minimizing Response Time of High Priority Requests
Dilip Rathod1, Girish Chowdhary2

1Dilip Rathod, Research Scholar, Dept. of Computer Science and Engineering, Research Center: Shri Guru Gobind Singhji Institute of Engineering and Technology, Under SRTM University, Nanded, Maharashtra, India.
2Girish Chowdhary, Professor and Director, School of Computational Science, Swami Ramanand Teerth Marathwada (SRTM) University, Nanded, Maharashtra, India.

Manuscript received on 27 August 2019. | Revised Manuscript received on 09 September 2019. | Manuscript published on 30 September 2019. | PP: 2713-2716 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21710981119/2019©BEIESP | DOI: 10.35940/ijitee.K2171.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Fog computing is one of the enabling computing technology which primarily aims to fulfill the requirements of the Internet of Things (IoT). IoT is fast-growing networking and computing sector. The scalability of users, devices, and application is crucial for the success of IoT systems. The load balancing is an approach to distribute the load among computing nodes so that the computing nodes are not overloaded. In this paper, we propose the priority-based request servicing at fog computing centers. We particularly address the situation when the fog node in fog computing center (FCC) receives more workload than their capacity to handle it. The increased workload is shifted to nearby fog nodes rather than to the remote cloud. The proposed approach is able to minimize the offloading the high priority request to other nodes by 11% which proves the novelty of our proposed.
Keywords: Internet of Things, Middleware, Scalability, Load balancing,
Scope of the Article: Internet of Things (IoT) & IoE & Edge Computing