Run-time Models for Self-managing Systems and Applications: Autonomic Systems
Editat de Danilo Ardagna, Li Zhangen Limba Engleză Paperback – 16 noi 2010
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Specificații
ISBN-13: 9783034604321
ISBN-10: 3034604327
Pagini: 185
Ilustrații: IX, 185 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.27 kg
Ediția:2010
Editura: Springer
Colecția Birkhäuser
Seria Autonomic Systems
Locul publicării:Basel, Switzerland
ISBN-10: 3034604327
Pagini: 185
Ilustrații: IX, 185 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.27 kg
Ediția:2010
Editura: Springer
Colecția Birkhäuser
Seria Autonomic Systems
Locul publicării:Basel, Switzerland
Public țintă
ResearchCuprins
Stochastic Analysis and Optimization of Multiserver Systems.- On the Selection of Models for Runtime Prediction of System Resources.- Estimating Model Parameters of Adaptive Software Systems in Real-Time.- A Control-Theoretic Approach for the Combined Management of Quality-of-Service and Energy in Service Centers.- The Emergence of Load Balancing in Distributed Systems: the SelfLet Approach.- Run Time Models in Adaptive Service Infrastructure.- On the Modeling and Management of Cloud Data Analytics.
Recenzii
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)
“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)
Textul de pe ultima copertă
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.
Caracteristici
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 Includes supplementary material: sn.pub/extras