A Survey: Improvement of QoS Via Load Balancing Approach in Parallel Distributed System

5 Pages Posted: 27 Jul 2022

See all articles by Garima Shukla

Garima Shukla

Noida Institute of Engineering and Technology

Arju Malik

IIMT Engineering College, Meerut

Paramanand Sharma

KIET Group of Institutions Delhi-NCR, Ghaziabad

Dolly Sharma

Invertis University, Bareilly

Shriniwas Singh

Mangalmay Institute of Engineering and Technology, Greater Noida

Garima Jain

Noida Institute of Engineering and Technology, Greater Noida

Date Written: July 14, 2022

Abstract

A rapid growth in computer technology demands high accepts load nodes for worldwide network. Load balancing approach in parallel distributed system can be solving the problem of load distribution in large network. The load balancing algorithms were involved for the improvement in the performance and Quality of service (QoS) of the parallel distributed system. After applying the load balancing approach, the assign task of each processor minimizes the execution time of the program and network maintains the effective utilization of each node. This paper gives the survey of newly develop principal concepts for many loads balancing approaches parallel distributed computing system. Load balancing consist various types of algorithms, their pros and cons and comparison for parameters in QoS. This paper describes the way of sharing the load in different nodes via a parallel distributed system to enhance the performance of loaded nodes which help in job response time and resource utilization of each assigned nodes.

Keywords: Load balancing, Distributed system, Parallel Computing and QoS

Suggested Citation

Shukla, Garima and Malik, Arju and Sharma, Paramanand and Sharma, Dolly and Singh, Shriniwas and Jain, Garima, A Survey: Improvement of QoS Via Load Balancing Approach in Parallel Distributed System (July 14, 2022). Proceedings of the Advancement in Electronics & Communication Engineering 2022, Available at SSRN: https://ssrn.com/abstract=4174041 or http://dx.doi.org/10.2139/ssrn.4174041

Garima Shukla (Contact Author)

Noida Institute of Engineering and Technology ( email )

Arju Malik

IIMT Engineering College, Meerut ( email )

Paramanand Sharma

KIET Group of Institutions Delhi-NCR, Ghaziabad ( email )

13 KM Stone, Ghaziabad-Meerut Road, Ghaziabad
Ghaziabad, 201206
India

Dolly Sharma

Invertis University, Bareilly ( email )

Shriniwas Singh

Mangalmay Institute of Engineering and Technology, Greater Noida ( email )

Garima Jain

Noida Institute of Engineering and Technology, Greater Noida ( email )

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