Run-time models for self-managing systems and applications

This book focuses on the adoption of run-time models for the design and management of auto-nomic 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 infra-structure 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 todesign-time models, to measure the real system performance parameters to fillthe 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 re-source 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 estimateof system behavior and are not effective to react to workload fluc-tuations. 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 pro-totype environments. 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 INDICE: 1 Stochastic Analysis and Optimization of Multiserver Systems.- 2 On the selection of models for runtime prediction of system resources.- 3 Estimating Model Parameters of Adaptive Software Systems in Real-Time.- 4 A Control-Theoretic Approach for the Combined Management of Quality-of-Service and Energy in Service Centers.- 5 The emergence of load balancing in distributed systems: the SelfLet approach.- 6 Run time models in adaptive service infrastructures.- 7 On the Modeling and Management of Cloud Data Analytics

• ISBN: 978-3-0346-0432-1
• Editorial: Birkhaüser
• Encuadernacion: Rústica
• Páginas: 200
• Fecha Publicación: 01/11/2010
• Nº Volúmenes: 1
• Idioma: Inglés