Auction Based Resource Provisioning in Cloud Computing - Baranwal, Gaurav;Kumar, Dinesh;Raza, Zahid
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The book, while introducing readers to the auction mechanism for resource provisioning in cloud computing, also endeavors to provide structured literature on the subject. Since various models have been proposed, it will help readers to formulate the cloud resource provisioning problem using the auction approach. The book also discusses challenges for resource provisioning in detail, helping to shape future research.
The target audience for this book includes computer scientists, economists, industry professionals, research scholars, and postgraduate students. Computer science readers of…mehr

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Produktbeschreibung
The book, while introducing readers to the auction mechanism for resource provisioning in cloud computing, also endeavors to provide structured literature on the subject. Since various models have been proposed, it will help readers to formulate the cloud resource provisioning problem using the auction approach. The book also discusses challenges for resource provisioning in detail, helping to shape future research.

The target audience for this book includes computer scientists, economists, industry professionals, research scholars, and postgraduate students. Computer science readers of this book will come to see that economics-based method are quite helpful in computer science, especially for resource provisioning. Readers with a cloud computing background will come to recognize the importance of dynamic pricing, the specific benefits of auctions, and how to formulate auctions for cloud computing. Lastly, readers from the economics community will come to understand their role in cloud computing, as well as where and how they can contribute.

Autorenporträt
Gaurav Baranwal is an Assistant Professor in the Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi (UP). Before he served as Assistant Professor in Madan Mohan Malviya University of Technology, Gorakhpur, India. He completed his M.Tech. and Ph.D. in Computer Science from the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. His research interests include resource provisioning and service coordination in cloud computing. Dinesh Kumar is a Ph.D. student at the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. He completed his M.Tech. in Computer Science at the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. His research interests include resource provisioning and pricing in cloud computing. Zahid Raza is an Associate Professor at the School of Computer and Systems Sciences, JawaharlalNehru University (JNU), New Delhi, India. He received his Ph.D. in Computer Science from Jawaharlal Nehru University, New Delhi, India. Prior to joining the JNU, he served at Banasthali Vidyapith University, Rajasthan, India. His research interests include parallel and distributed systems, evolutionary algorithms, Cloud Computing and IoT. Deo Prakash Vidyarthi is a Professor at the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi. Dr. Vidyarthi has published over 90 research papers in various peer-reviewed International Journals and Transactions (including IEEE, Elsevier, Springer, Wiley, World Scientific, etc.) and over 50 research papers in the proceedings of various conferences in India and abroad. He has also contributed many book chapters in related disciplines. Dr. Vidyarthi has two research monographs to his credit and has also contributed chapters in many edited books. He serves on the editorial boards of many International Journals and is a senior member of the IEEE, International Association of Computer Science and Information Technology (IACSIT), Singapore, International Society of Research in Science and Technology (ISRST), USA and International Association of Engineers (IAENG). His research interests includes parallel and distributed systems, grid and cloud computing, mobile computing and evolutionary computing.