A COMPARATIVE STUDY OF LOAD-BALANCING ALGORITHMS FOR RELIABILITY OF ENTERPRISE INFORMATION SYSTEMS

2024

Closed access Metadata (CSL-JSON)
DOI 10.51889/2959-5894.2024.87.3.012
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Enterprise information systems are always prone to high loads during active sessions. This issue is becoming more and more actual with the increase of digital enterprise systems. The key to the solution is the use of load-balancing algorithms, which ensure system stability at high workloads. This work analyzes common load balancing algorithms and provides a comparison analysis. The paper also performs a complexity analysis of load balancing algorithms, differentiating betweenthe static and dynamic algorithms. The results show that static algorithms are easy to implement, yet they are unable to adapt to different changes. Dynamic load balancing algorithms require deeper knowledge of the system, but at the same time providing higher efficiency in changing environments. This research paper also provides a recommendation for selecting a load-balancer for enterprise information system.