[PDF] Green Computing eBook

Author : Wu-chun Feng
Publisher : CRC Press
Page : 358 pages
File Size : 29,51 MB
Release : 2014-06-16
Category : Computers
ISBN : 1439819874

GET BOOK

State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches. In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a supercomputer by an order of magnitude without any system performance loss in parallelizable applications. The next few chapters explain how to enhance the energy efficiency of a large-scale computing system via compiler-directed energy optimizations, an adaptive run-time system, and a general prediction performance framework. The book then explores the interactions between energy management and reliability and describes storage system organization that maximizes energy efficiency and reliability. It also addresses the need for coordinated power control across different layers and covers demand response policies in computing centers. The final chapter assesses the impact of servers on data center costs.

Author : Bud E. Smith
Publisher : CRC Press
Page : 256 pages
File Size : 18,37 MB
Release : 2013-07-08
Category : Business & Economics
ISBN : 1466503416

GET BOOK

Explaining how going green can pay for itself, Green Computing: Tools and Techniques for Saving Energy, Money, and Resources ties the green agenda in IT to the broader corporate agenda in risk management, brand management, and reputation management. Written by a leading author in the IT field, this authoritative reference provides easy access to qu

Author : Hu, Wen-Chen
Publisher : IGI Global
Page : 496 pages
File Size : 49,64 MB
Release : 2012-06-30
Category : Business & Economics
ISBN : 146661840X

GET BOOK

"This book focuses on information technology using sustainable green computing to reduce energy and resources used"--Provided by publisher.

Author : Balamurugan Balusamy
Publisher : Springer Nature
Page : 214 pages
File Size : 13,78 MB
Release : 2020-09-07
Category : Architecture
ISBN : 3030481417

GET BOOK

The book collects the latest research and thinking from international experts on green computing and the smart city. The financial and environmental costs of energy are a concern in smart cities due to the high usage of computing, technology, security, IoT, communications, traffic, and other technologies. This book tackles this problem with a focus on computing, reporting on various approaches being taken worldwide, illustrated by several international case studies demonstrating these approaches. Researchers use this book as an up-to-date reference and engineers use it as a guide for the design and implementation of real solutions.

Author : Raoul-Abelin Choumin Nguemaleu
Publisher : CRC Press
Page : 242 pages
File Size : 46,93 MB
Release : 2014-05-09
Category : Computers
ISBN : 1466506946

GET BOOK

As computers become faster, use more energy, and older models become obsolete more quickly, the question is often asked: What can the engineering and computer science community do to make computing greener? Roadmap to Greener Computing defines the challenges involved in making computing more environmentally friendly and includes methods and techniq

Author : Bud E. Smith
Publisher : CRC Press
Page : 262 pages
File Size : 20,83 MB
Release : 2013-07-08
Category : Business & Economics
ISBN : 1466503408

GET BOOK

Explaining how going green can pay for itself, Green Computing: Tools and Techniques for Saving Energy, Money, and Resources ties the green agenda in IT to the broader corporate agenda in risk management, brand management, and reputation management. Written by a leading author in the IT field, this authoritative reference provides easy access to quotable budget justifications that readers can use to place IT stakeholders on the same page for this new agenda that can save valuable resources and the planet. Bringing together everything IT professionals need to know about green computing, the book embodies a new philosophy on how to deploy IT devices, software, and services in a way that makes people more effective with fewer resources. It presents helpful tips on how to maximize energy savings as well as how to present information gradually to allow peers and stakeholders to absorb it. The book’s comprehensive coverage includes various types of hardware and software, including the changes currently happening, underlying trends, products currently on the market, and what to expect—or, in some cases, what organizations should ask for—from suppliers in the future. On the hardware side, the book considers tablet computers—examining the iPad® and Android®-based tablets. On the software side, it examines the general trend toward cloud computing. It provides important examples of this rapidly emerging trend as well as guidance on how to use the cloud to make software available and to store large amounts of data. Demonstrating the savings and increased business resiliency that can result from green computing, this book offers C-suite executives, senior IT management, project managers, suppliers, and market analysts with the tools required to understand why you need to act, how to act, what to buy, when to do it, and who should act.

Author : Sourav Banerjee
Publisher : CRC Press
Page : 205 pages
File Size : 25,84 MB
Release : 2020-12-10
Category : Computers
ISBN : 1000223949

GET BOOK

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master’s course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.

Author : Mallick, Pradeep Kumar
Publisher : IGI Global
Page : 300 pages
File Size : 25,67 MB
Release : 2018-12-28
Category : Computers
ISBN : 1522557946

GET BOOK

Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Author : Kavita Saini
Publisher : CRC Press
Page : 203 pages
File Size : 31,97 MB
Release : 2021-12-26
Category : Computers
ISBN : 1000515273

GET BOOK

This handbook provides a computational perspective on green computing and blockchain technologies. It presents not only how to identify challenges using a practical approach but also how to develop strategies for addressing industry challenges. Handbook of Green Computing and Blockchain Technologies takes a practical-oriented approach, including solved examples and highlights standardization, industry bodies, and initiatives. Case studies provide a deeper understanding of blockchain and are related to real-time scenarios. The handbook analyzes current research and development in green computing and blockchain analytics, studies existing related standards and technologies, and provides results on implementation, challenges, and issues in today’s society. FEATURES Analyzes current research developments in green computing and blockchain analytics Provides an analysis of implementation challenges and solutions Offers innovations in the decentralization process for the application of blockchain in areas such as healthcare, government services, agriculture, supply chain, financial, ecommerce, and more Discusses the impact of this technology on people’s lives, the way they work and learn, and highlights standardization, industry bodies, and initiatives This handbook will benefit researchers, software developers, and undergraduate and postgraduate students in industrial systems, manufacturing, information technology, computer science, manufacturing, communications, and electrical engineering.

Author : Jain, Vishal
Publisher : IGI Global
Page : 351 pages
File Size : 17,26 MB
Release : 2024-04-01
Category : Computers
ISBN :

GET BOOK

Convergence Strategies for Green Computing and Sustainable Development presents a comprehensive exploration of the potential of emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), fog computing, and cloud computing, to aid in fostering a sustainable future. It examines how these technologies can reduce the impact of unsustainability in societies, the environment, and natural resources, offering invaluable insights into harnessing their power for positive change. Convergence Strategies for Green Computing and Sustainable Development serves as a comprehensive strategy that holistically understands, transforms, and develops technological systems in society. This book caters to a diverse range of readers, including graduate students, researchers, working professionals seeking knowledge, and industry experts seeking information about new trends. With its recommended topics and comprehensive table of contents, readers can gain in-depth knowledge about sustainable cloud computing, artificial intelligence and machine learning for sustainable development, sustainable wireless systems and networks, and the crucial role of green IoT and Edge-AI in driving a sustainable digital transition.