Studies in Computational Intelligence

Evolutionary Based Solutions for Green Computing

Editors: Khan, S.U., Kołodziej, J., Li, J., Zomaya, A.Y. (Eds.)

  • 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
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About this book

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 issues are also outlined.  All of those technologies have formed the foundation for the green computing that we know of today.

Reviews

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)


Table of contents (8 chapters)

  • Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems

    Abbasi, Zahra (et al.)

    Pages 1-28

  • Energy-Aware Provisioning of HPC Services through Virtualised Web Services

    Kipp, Alexander (et al.)

    Pages 29-53

  • Macro Level Models of Power Consumption for Servers in Distributed Systems

    Enokido, Tomoya (et al.)

    Pages 55-94

  • Energy and Security Awareness in Evolutionary-Driven Grid Scheduling

    Kołodziej, Joanna (et al.)

    Pages 95-138

  • Power Consumption Constrained Task Scheduling Using Enhanced Genetic Algorithms

    Shen, Gang (et al.)

    Pages 139-159

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-30659-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA
  • ISBN 978-3-642-30658-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA
  • ISBN 978-3-642-43066-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Based Solutions for Green Computing
Editors
  • Samee Ullah Khan
  • Joanna Kołodziej
  • Juan Li
  • Albert Y. Zomaya
Series Title
Studies in Computational Intelligence
Series Volume
432
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-30659-4
DOI
10.1007/978-3-642-30659-4
Hardcover ISBN
978-3-642-30658-7
Softcover ISBN
978-3-642-43066-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XX, 256
Topics