TITLE:               

Improving The Performance of An Advanced Algorithm for Task flow Scheduling In Cloud Computing

AUTHORS:   

Narayana N Gourav, Dr. Dayananda R B, Akshatha Kamath

DOI:  10.5110/77. 1405               Page:   54-75          Vol: 19    Issue: 04   Year: 2024

ABSTRACT

The domain of cloud computing with an emphasis on taskflow scheduling optimisation. It emphasises the benefits that cloud resources provide for the both business and research endeavours. The study revolves around these scheduling algorithms, especially the Max-Min algorithm and its improved version, which are essential for optimising resource use and reducing work runtime. It can minimize the makespan, throughput, average waiting time and average response time of workflow executions. These methods optimise resource allocation and improve overall performance by dynamically allocating jobs based the on current workload requirements and real-time data. The algorithm is tested out using CloudSim, the results shown that the Improved Max-Min algorithm has achieved better in almost of the cases considered.

 Keywords:

Cloud Computing, Taskflow, Scheduling Algorithm, Improved-Max-Min, Max-Min, FCFS, SJF, Round-Robin

Received: 18 March 2024

Accepted:  08 April 2024

Published: 15 April 2024