Design and Analysis of Modified Bully Algorithm for Leader Election in Distributed System

Autor: Jayshree Surolia, Mahesh M. Bundele
Rok vydání: 2020
Předmět:
Zdroj: Algorithms for Intelligent Systems ISBN: 9789811510588
DOI: 10.1007/978-981-15-1059-5_38
Popis: The distributed system concept has been continuously used in advanced technologies and in real-time applications since last few years. The distributed concept has become important part of the information technology, and it is frequently adapted in the current scenario with different high-tech concepts. Many researchers used various algorithms like Pre-Election Algorithm, Bully–FD Algorithm, Election Commission Algorithm, Coordinator Group Algorithm, Sandipan Basu Algorithm, Fault-Tolerant Algorithm, Leader Assistant Algorithm, Alternative Group Algorithm, etc. In the depth analysis of all these algorithms, it is found that Sandipan Basu Algorithm provided the best results. In this paper, we have designed and implemented a Modified Bully Algorithm and compared with Basic Bully Algorithm, Sandipan Basu Algorithm. In this work, we have carried out performance analysis of these algorithms by varying number of nodes.
Databáze: OpenAIRE