Open AccessPerformance Optimization by Task Scheduling in Cloud Computing
Author(s) -
Amit Kaushal,
Sukhbir Singh
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1004.1091s19
Subject(s) - cloud computing , computer science , distributed computing , scheduling (production processes) , virtual machine , schedule , vendor , task (project management) , software , operating system , mathematical optimization , mathematics , management , marketing , economics , business
Cloud computing is associate on demand access to a shared pool of resources. Vendor’s of cloud computing offer application and change technology, infrastructure, hardware, software, and integration for consumer. The most aspect of cloud computing is accessibility and performance of their network association. It refers to the method of allocating users’ tasks to virtual machines (VMs) with a goal of minimizing the work time and rising the resource utilization. Tasks programming is taken into account NP onerous drawback with O (m, n) run time complexness to schedule n tasks on m resources. A computer hardware adapts its programming strategy consistent with the ever-changing setting and therefore the variety of task. We provide comparison with Max–min scheduling formula and Genetic formula. Our hybrid algorithm provides higher performance compared to different programming algorithm.