An Investigation of Various Task Allocating Mechanism in Cloud
Pallab Banerjee, Sharmistha Roy · 2021 5th International Conference on Information Systems and Computer Networks (ISCON) · 2021
The ever increasing demand for computing in every field of the modern era leads to the emergence of the cloud computing environment which has become a boon to the world of communication and the Internet. The huge pool of resources, on-demand services, and pay per use access are some of the features which made cloud computing one of the demanding platforms in this virtual world. Because of its huge number of user access and task requests, efficient resource management is a challenging issue. Thus scheduling tasks in an efficient manner to obtain maximum utilization of resources will help in improving performance and profit. In this research work, we have highlighted job allocation techniques namely heuristic and hybrid algorithms. A comparative analysis of various heuristic scheduling algorithms and hybrid scheduling algorithms have been carried out on two parameters namely makespan and time flow as they are the beneficial parameters for job scheduling. This research presents a systematic study of existing job allocation algorithms to show their advantages and limitations.