An Advanced Approach On Load Balancing in Grid Computing
Dushyant Vaghela

TL;DR
This paper reviews various load balancing mechanisms in grid computing, highlighting their suitability for different scenarios to improve resource utilization and system performance.
Contribution
It provides an overview of different load balancing algorithms in grid computing, aiding in selecting appropriate methods for specific situations.
Findings
Different load balancing algorithms have varying effectiveness based on grid conditions.
Proper load balancing improves resource utilization and reduces response time.
The paper guides choosing suitable algorithms for diverse grid environments.
Abstract
With the rapid development in wide area networks and low cost, powerful computational resources, grid computing has gained its popularity. With the advent of grid computing, space limitations of conventional distributed systems can be overcome and underutilized computing resources at different locations around the world can be put to distributed jobs. Workload and resource management is the main key grid services at the service level of grid infrastructures, out of which load balancing in the main concern for grid developers. It has been found that load is the major problem which server faces, especially when the number of users increases. A lot of research is being done in the area of load management. This paper presents the various mechanisms of load balancing in grid computing so that the readers will get an idea of which algorithm would be suitable in different situations. Keywords:…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques · Advanced Data Storage Technologies
