Energy Efficiency in Data Centers and Clouds
- 1st Edition, Volume 100 - January 26, 2016
- Latest edition
- Editors: Suyel Namasudra, Hamid Sarbazi-Azad
- Language: English
Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applicati… Read more
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Description
Description
Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applications.
The book provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles typically allow.
The articles included in this book will become standard references, with lasting value in this rapidly expanding field.
Key features
Key features
- Presents detailed coverage of recent innovations in computer hardware, software, theory, design, and applications
- Includes in-depth surveys and tutorials on new computer technology pertaining to computing: combinatorial testing, constraint-based testing, and black-box testing
- Written by well-known authors and researchers in the field
- Includes extensive bibliographies with most chapters
- Presents volumes devoted to single themes or subfields of computer science
Readership
Readership
Table of contents
Table of contents
Chapter One: Power Management in Data Centers: Cost, Sustainability, and Demand Response
- Abstract
- 1 Introduction
- 2 Cost Minimization in Data Centers
- 3 Sustainability: Water Efficiency
- 4 Sustainability: Exploiting Temporal Diversity of Water Efficiency (WACE)
- 5 Sustainability: Optimizing Water Efficiency in Distributed Data Centers (GLB-WS)
- 6 Demand Response of Geo-Distributed Data Centers: Real-Time Pricing Game Approach
- 7 Demand Response of Colocation Data Centers: A Reverse Auction Approach
- 8 Conclusion and Open Challenges
- Acknowledgments
Chapter Two: Energy-Efficient Big Data Analytics in Datacenters
- Abstract
- 1 Introduction
- 2 Datacenter and Cloud Computing
- 3 Handling Big Data on Cloud-Based Datacenters
- 4 Energy Efficiency in Datacenters for Big Data Analytics
- 5 Trends for the Big Data Analytics in Cloud-Based Datacenters
- 6 Summary
Chapter Three: Energy-Efficient and SLA-Based Resource Management in Cloud Data Centers
- Abstract
- 1 Introduction
- 2 Energetic Characterization of a Data Center
- 3 Cloud Computing Environments
- 4 Constraints to Energy Efficiency in Cloud Data Centers
- 5 Current Resource Management in Cloud Data Centers
- 6 A Practical Case of Energy-Efficient and SLA-Based Management of Resources
- 7 Conclusions and Open Challenges
Chapter Four: Achieving Energy Efficiency in Datacenters by Virtual Machine Sizing, Replication, and Placement
- Abstract
- 1 Introduction
- 2 Related Work in Datacenter Power and Resource Management
- 3 System Model
- 4 Problem Formulation
- 5 Proposed Algorithm
- 6 Simulation Results
- 7 Conclusion and Future Research Direction
Chapter Five: Communication-Awareness for Energy-Efficiency in Datacenters
- Abstract
- 1 Introduction
- 2 Power Consuming Components in Networks
- 3 Energy Reduction Techniques
- 4 Our Approach
- 5 Problem Formulation and Algorithms
- 6 Experimental Results
- 7 Conclusion and Future Work
- Acknowledgments
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 100
- Published: January 26, 2016
- Language: English
About the editors
About the editors
SN
Suyel Namasudra
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.
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