JOURNAL ARTICLE

A Modified Throttled Load Balancing Algorithm to Accelerate Cloud System by Reducing Response Time

Md. Toufecul IslamProf. Dr. Mohammod Abul KashemTanjina Jahan

Year: 2023 Journal:   Daffodil International University Journal of Science and Technology Vol: 18 (2)Pages: 16-20

Abstract

The load balancing becomes an important factor in maintaining system stability and performance. As an effect, a strategy for improving system performance by balancing workload across Virtual Machines (VMs) is required. To accomplish load balancing and Quality of Service, scheduling algorithms are utilized. The Modified Throttled Load Balancing Algorithm (MTLBA) reduces response time as well as manages and balances load amongst virtual machines. Here used the Cloud Analysts simulation toolkit to test the modified technique. The results of our MTLBA were likened to the existing Throttled Load Balancing Algorithm. The results demonstrated that the suggested MTLBA outperforms existing Throttled algorithms.

Keywords:
Load balancing (electrical power) Cloud computing Workload Response time Virtual machine Load management Network Load Balancing Services

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications
© 2026 ScienceGate Book Chapters — All rights reserved.