Resource Aware Weighted Least Connection Load Balancing Technique in Cloud Computing

Title

Resource Aware Weighted Least Connection Load Balancing Technique in Cloud Computing

Creator

Balan Y.; Arokia Paul Rajan R.

Description

Cloud computing became a pivotal for the most of the real time applications. In cloud computing, the customer demands the services with the best performance even when the application is expanding rapidly. Therefore, it is essential to manage the resources effectively because the number of users and services growing proportionately. The main aim of the load balancing technique is to allocate the customers' requests with the large pool of resources efficiently. The problem is how to evenly distribute the load of requests among the compute nodes according to their capacity. Therefore, there is a need for an effective load balancing technique for smooth continuity of operations in a distributed environment with a heterogeneous server configuration. This paper presents a novel load balancing technique, namely, Resource aware weighted least connection load balancing which addresses the above said problem efficiently. The essence of this work is to assign the requests across multiple servers based on the requested resource and the status of the number of connections presently served by each server. This work used standard score technique to enumerate the weight of each node. Experiments were conducted using Cloud Analyst, a famous cloud simulator breed from CloudSim. Appropriate performance parameters were analysed to measure the effectiveness of the proposed technique. Future directions for the extension of the implemented technique also identified. 2023 IEEE.

Source

International Conference on Sustainable Communication Networks and Application, ICSCNA 2023 - Proceedings, pp. 153-157.

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Cloud analyst; Cloud computing; load balancing; standard score; weighted least connection load balancing

Coverage

Balan Y., Christ University, Department of Computer Science, Bangalore, India; Arokia Paul Rajan R., Christ University, Department of Computer Science, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835031398-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICSCNA58489.2023.10370307

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183057447&doi=10.1109%2fICSCNA58489.2023.10370307&partnerID=40&md5=afeab97fba034ab9a160d612dca65a66