Development of Multi objective Prediction based Methods for Task Scheduling in Cloud Computing Environment

Abstract

Development of Multi-objective Prediction based newlineMethods for Task Scheduling in Cloud Computing newlineEnvironment newlineSubmitted By: PARIKH SWAPNIL MAHESHKUMAR (14TE703028) newlineSupervised By: Dr. SAURABH A SHAH, Professor, Department of Computer newlineEngineering and Director, P. G. Studies and Research, RDI Center, C U Shah newlineUniversity, Wadhwancity, Gujarat, India. newlineCo-Supervised By: Dr. NARENDRA M PATEL, Associate Professor, Department newlineof Computer Engineering, Birla Vishvakarma Mahavidyalaya, Vallabh newlineVidyanagar, Gujarat, India. newlineBackground: Cloud Computing is fundamentally a remote computing or newlineInternet based computing where one can access their personal resources effectively newlinefrom any PC through Internet. Cloud conveys computing as a utility newlinebecause it is accessible to the cloud consumers based on their interest. Cloud newlineComputing is a simple pay-per-utilize consumer-provider service model. Task newline(Job) scheduling is always a noteworthy issue in any computing paradigm. newlineDue to the availability of finite resources and time variant nature of incoming newlinetasks it is very challenging to schedule a new task (job) accurately and assign newlinerequested resources to cloud user. Traditional task scheduling techniques or newlinemethods are improper for cloud computing as cloud computing is based on newlinevirtualization technology with disseminated nature. Cloud computing brings newlinein new challenges for task scheduling due to heterogeneity in hardware capabilities, newlineon-demand service model, pay-per-utilize model and guarantee to meet newlineQuality of Service (QoS). This has motivated generation of multi-objective newlinemethods for task scheduling. Many researchers have proposed hybrid algorithms newlinefor task scheduling with single or multi-objective. This thesis presents newlinea detailed and comprehensive literature review of the state-of-the-art methods newlinefor task scheduling in cloud computing environment. newlinei newlineAim: The ultimate aim of this research work is to design and develop of newlinemulti-objective prediction based task scheduling method in cloud computing newlineto improve load balancing in order to