Description: Advanced Computing Techniques for Optimization in Cloud by H.S. Madhusudhan, Punit Gupta, Pradeep Singh Rawat Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and meta-heuristic approaches for placement techniques. Publisher Description This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques.Focuses on virtual machine placement and migration techniques for cloud data centersPresents the role of machine learning and metaheuristic approaches for optimisation in cloud computing servicesIncludes application of placement techniques for quality of service, performance, and reliability improvementExplores data center resource management, load balancing and orchestration using machine learning techniquesAnalyses dynamic and scalable resource scheduling with a focus on resource managementThe text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology. Author Biography Dr. Madhusudhan H S is currently working as Associate Professor in the Department of computer science and Engineering at Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. He has published scientific research publications in reputed International Journals and Conferences including SCI indexed and Scopus indexed Journals. His area of interest includes Cloud computing, Artificial Intelligence, Machine learning and Computer Networks. He holds doctoral degree from Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India.Dr. Punit Gupta is Post-Doctoral Researcher at University College Dublin, Ireland. He has completed his Ph.D. in Computer Science and Engineering from Jaypee University of Information Technology, Solan, India. He is Gold Medalist in M-tech from Jaypee Institute of Information Technology. He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 80 research papers in reputed journals and international conferences. He is gest editor in "Recent patent in compyter science" journal and editorial manager of "Computer Standards & Interfaces" and "Journal of Network and Computer Applications". He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM. He has organized a Special session on Fault tolerant and Reliable computing in Cloud, ICIIP 2019, India. He has published 50+ articles and book chapters in peer reviewed journals and conferences of international repute. He has enthusiastically participated and acted as organizing committee member of numerous IEEE and other conferences.Dr. Pradeep Singh Rawat Joined the Department of Computer Science & Engineering as an Assistant Professor on 7 January 2010. He has completed his Ph.D. work in Computer Science & Engineering from Uttarakhand Technical University, Dehradun, India, in the year of 2021. He received his MTech in Information Security & Management from Uttarakhand Technical University, Dehradun, and BTech in Computer Science & Engineering from Kumaun University, Nainital. Pradeeps interests center upon Cloud Computing & its Application, Data Communication & Networking, Data Science Application in Cloud, and Soft Computing. He received the Research Excellence Award 2020-21 at DITU and is a Bronze medalist in his post-graduation (MTech) from Uttarakhand Technical University, Dehradun, India. He received Outstanding Teaching award in academic year 2022-23 on behalf of School of Computing, DITU. He has published seven papers in SCIE indexed Journal with the highest impact factor (8.7). Dr. Rawat has more than 12 years of experience in academics. He has published and presented several research papers in various international journals and conferences of repute. He is an active member of the Universal Association of Computer and Electronics Engineers and has published 8 Scopus indexed book chapters. Details ISBN 1032600071 ISBN-13 9781032600079 Title Advanced Computing Techniques for Optimization in Cloud Author H.S. Madhusudhan, Punit Gupta, Pradeep Singh Rawat Format Hardcover Year 2024 Pages 248 Publisher Taylor & Francis Ltd GE_Item_ID:161133837; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 233.48 USD
Location: Fairfield, Ohio
End Time: 2025-01-18T03:03:45.000Z
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ISBN-13: 9781032600079
Book Title: Advanced Computing Techniques for Optimization in Cloud
Number of Pages: 248 Pages
Publication Name: Advanced Computing Techniques for Optimization in Cloud
Language: English
Publisher: CRC Press LLC
Publication Year: 2024
Subject: Systems Architecture / Distributed Systems & Computing, Cloud Computing, Client-Server Computing, General
Type: Textbook
Item Weight: 22.7 Oz
Author: Punit Gupta
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Series: Chapman and Hall/Distributed Computing and Intelligent Data Analytics Ser.
Item Width: 6.1 in
Format: Hardcover