Run-time Models for Self-managing Systems and Applications

  • Danilo Ardagna
  • Li Zhang

Part of the Autonomic Systems book series (ASYS)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Sara Casolari, Michele Colajanni
    Pages 25-44
  3. Dinesh Kumar, Asser Tantawi, Li Zhang
    Pages 45-71
  4. Nicolò M. Calcavecchia, Danilo Ardagna, Elisabetta Di Nitto
    Pages 97-124
  5. Marco Autili, Paola Inverardi, Massimo Tivoli
    Pages 125-152
  6. Claris Castillo, Asser Tantawi, Malgorzata Steinder, Giovanni Pacifici
    Pages 153-174

About this book

Introduction

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.

Keywords

Autonomic computing Computer Management Performance calculus distributed systems modeling optimization performance models reliability of systems run time model

Editors and affiliations

  • Danilo Ardagna
    • 1
  • Li Zhang
    • 2
  1. 1.Dipartimento di Elettronica e InformazioPolitecnico di MilanoMilanoItaly
  2. 2.IBM Thomas J. Watson Research CenterHawthorneUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-0346-0433-8
  • Copyright Information Springer Basel AG 2010
  • Publisher Name Springer, Basel
  • eBook Packages Computer Science
  • Print ISBN 978-3-0346-0432-1
  • Online ISBN 978-3-0346-0433-8
  • About this book