Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing

Author:   Katinka Wolter
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2010
ISBN:  

9783642112560


Pages:   269
Publication Date:   06 June 2010
Format:   Hardback
Availability:   In Print   Availability explained
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Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing


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Full Product Details

Author:   Katinka Wolter
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.600kg
ISBN:  

9783642112560


ISBN 10:   3642112560
Pages:   269
Publication Date:   06 June 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

From the reviews: Wolter's textbook presents ... three issues that will interest specialists in distributed systems and software design: restarting, rejuvenation, and checkpointing. ... The book's strength is its ability to systematically gather different models that are rarely presented together in one place. It is also admirable how clearly ... the difficult material on reliability is presented. The work is intended for experienced readers ... . The content is up to date; in fact, many of the analyses are quite new and based on Wolter's own work. (Piotr Cholda, ACM Computing Reviews, November, 2010) It is comprehensive and self-contained as it includes everything one needs to understand and apply the models and algorithms represented. Even the probability distributions used in those models are briefly, yet satisfactorily, explained in the appendices. All in all, I can recommend this book as a handbook not only to researchers and practitioners who work in this field, but also to students as a textbook. (Fevzi Belli, Zentralblatt MATH, Vol. 1209, 2011)


"From the reviews: ""Wolter's textbook presents ... three issues that will interest specialists in distributed systems and software design: restarting, rejuvenation, and checkpointing. ... The book's strength is its ability to systematically gather different models that are rarely presented together in one place. It is also admirable how clearly ... the difficult material on reliability is presented. The work is intended for experienced readers ... . The content is up to date; in fact, many of the analyses are quite new and based on Wolter's own work."" (Piotr Cholda, ACM Computing Reviews, November, 2010)"


From the reviews: Wolter's textbook presents ! three issues that will interest specialists in distributed systems and software design: restarting, rejuvenation, and checkpointing. ! The book's strength is its ability to systematically gather different models that are rarely presented together in one place. It is also admirable how clearly ! the difficult material on reliability is presented. The work is intended for experienced readers ! . The content is up to date; in fact, many of the analyses are quite new and based on Wolter's own work. (Piotr Cholda, ACM Computing Reviews, November, 2010)


Author Information

Katinka Wolter is an assistant professor at Humboldt-University, Berlin, Germany, working with the on Computer Architecture and Communication Group since April 2002. She is principal investigator of two research projects funded by the German research council and teaches courses on performance analysis of communication systems and dependability evaluation. Prior to her current position, she was a visiting researcher at Hewlett-Packard Labs in Palo Alto, CA, USA. Her research interests include dependability evaluation of service-oriented architectures and wireless computer networks, as well as stochastic models for representing data in those systems and stochastic models for improving dependability through restart-based techniques.

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