
Principles of Scheduling in Cloud Computing
Scholars' Press
Published on 1. December 2014
Book
Paperback/Softback
148 pages
978-3-639-66950-3 (ISBN)
Description
Cloud Computing is a hot topic of the day among academicians, researchers and current industry. This book is designed to give a broad overview of certain strategies of workflow scheduling in cloud. The principles of workflow scheduling in cloud computing environment is discussed in detail from various perspectives. The modern trends of cloud computing have been dealt from basic principles and terminologies in easily understandable English language so as to enable the reader to understand with minimal effort. This book would serve as an ideal guide for B.E., B.Tech., B.S., B.Sc., undergraduate students of Computer Science and Engineering, Information Technology, Electronics and Communication Engineering who wish to take up projects on cloud computing. Students pursuing postgraduate course in Engineering, M.E., M.Tech., M.S., M.Sc., and M.C.A. students will find this book useful for their projects. Research Scholars working in the area of cloud computing will find the book as a handy reference guide for their PhD work. Software Developers involved in IT and ITES sectors, specifically working on grid and cloud computing domains would find this book as a useful resource.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 10 mm
Weight
238 gr
ISBN-13
978-3-639-66950-3 (9783639669503)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Prof.S.Balamurugan is working with Department of Information Technology, Kalaignar Karunanidhi Institute of Technology, Coimbatore, India. He holds to his credit 4 books and 120 papers in various International Journals and IEEE International Conferences. His areas of research interest include Data Privacy, Cloud Computing and Object Modeling.