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Evolutionary Based Solutions for Green Computing: Studies in Computational Intelligence, cartea 432

Editat de Samee Ullah Khan, Joanna Kołodziej, Juan Li, Albert Y. Zomaya
en Limba Engleză Paperback – 20 sep 2014
Today’s highly parameterized large-scale distributed computing systems may be composed  of a large number of various components (computers, databases, etc) and must provide a wide range of services. The users of such systems, located at different (geographical or managerial) network cluster may have a limited access to the system’s services and resources, and different, often conflicting, expectations and requirements. Moreover, the information and data processed in such dynamic environments may be incomplete, imprecise, fragmentary, and overloading. All of the above mentioned issues require some intelligent scalable methodologies for the management of the whole complex structure, which unfortunately may increase the energy consumption of such systems. An optimal energy utilization has reached to a point that many information technology (IT) managers and corporate executives are all up in arms to identify scalable solution that can reduce electricity consumption (so that the total cost of operation is minimized) of their respective large-scale computing systems and simultaneously improve upon or maintain the current throughput of the system. 
This book in its eight chapters, addresses the fundamental issues related to the energy usage and the optimal low-cost system design in high performance ``green computing’’ systems. The recent evolutionary and general metaheuristic-based solutions for energy optimization in data processing, scheduling, resource allocation, and communication in modern computational grids, could and network computing are presented along with several important conventional technologies to cover the hot topics from the fundamental theory of the ‘’green computing’’ concept and to describe the basic architectures of systems. This book points out the potential application areas and provides detailed examples of application case studies in low-energy computational systems. The development trends and open research issuesare also outlined.  All of those technologies have formed the foundation for the green computing that we know of today.
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Specificații

ISBN-13: 9783642430664
ISBN-10: 364243066X
Pagini: 276
Ilustrații: XX, 256 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems.-Energy-Aware provisioning of HPC services with virtualised web services.-Macro Level Models of Power Consumption for Servers in Distributed System.-Energy and Security Awareness in Evolutionary-driven Grid Scheduling.-Power Consumption Constrained Task Scheduling Using Enhanced Genetic Algorithms.-Thermal Management in Many-Core Systems .-Sustainable and Reliable On-chip Wireless Communication Infrastructure for Massive Muliti-core Systems.-Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-efficient Solutions to Data Compression and Node .Localization in Wireless Sensor Networks.

Recenzii

From the reviews:
“The editors and authors of this collection of papers intend to show the relevance of evolutionary computation in a set of established energy-saving applications … . As a result, the relevance of the volume is … to researchers in the same field, and to other researchers in green computing who are looking for approaches to solve optimization problems. The volume comprises eight chapters devoted to selected high-performance computing and network subsystem energy-saving efforts.” (L.-F. Pau, ACM Computing Reviews, January, 2013)

Textul de pe ultima copertă

Today’s highly parameterized large-scale distributed computing systems may be composed  of a large number of various components (computers, databases, etc) and must provide a wide range of services. The users of such systems, located at different (geographical or managerial) network cluster may have a limited access to the system’s services and resources, and different, often conflicting, expectations and requirements. Moreover, the information and data processed in such dynamic environments may be incomplete, imprecise, fragmentary, and overloading. All of the above mentioned issues require some intelligent scalable methodologies for the management of the whole complex structure, which unfortunately may increase the energy consumption of such systems.  
This book in its eight chapters, addresses the fundamental issues related to the energy usage and the optimal low-cost system design in high performance ``green computing’’ systems. The recent evolutionary and general metaheuristic-based solutions for energy optimization in data processing, scheduling, resource allocation, and communication in modern computational grids, could and network computing are presented along with several important conventional technologies to cover the hot topics from the fundamental theory of the ‘’green computing’’ concept and to describe the basic architectures of systems. This book points out the potential application areas and provides detailed examples of application case studies in low-energy computational systems. The development trends and open research issues are also outlined.  All of those technologies have formed the foundation for the green computing that we know of today.

Caracteristici

Comprehensive summarization of the development for evolutionary computing based green computing solutions Complete coverage from basic theory, methodologies, to real-world applications Outlines development trends and open research issues on green IT