Autonomic Systems

Run-time Models for Self-managing Systems and Applications

Editors: Ardagna, Danilo, Zhang, Li (Eds.)

  • Investigate concepts, models and tools for the run-time management of autonomic computing systems at very fine-grained time scales and in transient conditions Introduces the main challenges and future re- search directions for the adoption of run-time models to support next generation cloud based autonomic systems

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eBook $79.99
price for USA (gross)
  • ISBN 978-3-0346-0433-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-0346-0432-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This edited volume focuses on the adoption of run-time models for the design and management of autonomic systems. Traditionally, performance models have a central role in the design of computer systems. Models are used at design-time to support the capacity planning of the physical infrastructure and to analyze the effects and trade-offs of different architectural choices. Models may also be used at run-time to assess the compliance of the running system with respect to design-time models, to measure the real system performance parameters to fill the gap between design and run-time. Models at run-time can also assess the compliance of service level agreements and trigger autonomic systems re-configuration. Run-time models are receiving great interest, since, e.g., power management of CPUs and resource management in virtualized systems can be actuated at very fine grain time scales. In such situations, traditional performance techniques evaluating the systems steady state may provide only a rough estimate of system behavior and are not effective to react to workload fluctuations. This book includes advanced techniques and solutions for the run-time estimation of autonomic systems performance, the analysis of transient conditions and their application in advanced prototype environments.

Reviews

From the reviews:

“It starts out with extremely low-level detail, and takes a deep dive into the mathematics of systems and operations research, best suited for the hardcore systems and operations theorist … . the book addresses the higher-level and more user-oriented aspects of self-* systems. … the number of pictures, relevant examples, charts, and graphs were more than enough … .” (Chris Mattmann, ACM Computing Reviews, November, 2011)


Table of contents (7 chapters)

  • Stochastic Analysis and Optimization of Multiserver Systems

    Squillante, Mark S.

    Pages 1-24

  • On the Selection of Models for Runtime Prediction of System Resources

    Casolari, Sara (et al.)

    Pages 25-44

  • Estimating Model Parameters of Adaptive Software Systems in Real-Time

    Kumar, Dinesh (et al.)

    Pages 45-71

  • A Control-Theoretic Approach for the Combined Management of Quality-of-Service and Energy in Service Centers

    Poussot-Vassal, Charles (et al.)

    Pages 73-96

  • The Emergence of Load Balancing in Distributed Systems: the SelfLet Approach

    Calcavecchia, Nicolò M. (et al.)

    Pages 97-124

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-0346-0433-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-0346-0432-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Run-time Models for Self-managing Systems and Applications
Editors
  • Danilo Ardagna
  • Li Zhang
Series Title
Autonomic Systems
Copyright
2010
Publisher
Birkhäuser Basel
Copyright Holder
Springer Basel AG
eBook ISBN
978-3-0346-0433-8
DOI
10.1007/978-3-0346-0433-8
Softcover ISBN
978-3-0346-0432-1
Edition Number
1
Number of Pages
IX, 185
Topics