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  1. Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS (QoSA-ISARCS '11)
  2. Architecture-based fault tolerance support for grid applications
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How software architecture can make an application-friendly internet
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Managing the quality of software product line architectures through reusable model transformations
Integration of event-based communication in the palladio software quality prediction framework
Architecture-based reliability evaluation under uncertainty
Failure-dependent execution time analysis
Building components with embedded security monitors
Extending the RiPLE-DE process with quality attribute variability realization
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Systematic simplicity-accuracy tradeoffs in parameterised contract models
Elective temporal logic
Enhancing a QoS-based self-adaptive framework with energy management capabilities
Performance measurements and modeling of a java-based session initiation protocol (SIP) application server
Software architecture adaptability metrics for QoS-based self-adaptation
Architecture-based fault tolerance support for grid applications

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Architecture-based fault tolerance support for grid applications

Content Provider ACM Digital Library
Author Yusuf, Iman I. Schmidt, Heinz W. Peake, Ian D.
Abstract Failure in long running grid applications is arguably inevitable and costly. Therefore, fault tolerance (FT) support for grid applications is needed. This paper evaluates an extension of our prior work on Recovery Aware Components (RAC), a component based FT approach. Our extension utilizes the grid application architecture according to a small number of architectural classes. In this paper, we evaluate the MapReduce architecture only and analyze the reliability improvement MapReduce applications would gain by adopting the RAC approach. Our analysis shows that significant increases in reliability are possible at moderate extra cost. Obviously the cost of FT depends on the failure rate of the managed system, i.e., the system to be protected from faults, and the FT strategy chosen. Our work aims to give High Performance Computing (HPC) software architects the tools to control these factors for dierent grid application architectures.
Starting Page 177
Ending Page 182
Page Count 6
File Format PDF
ISBN 9781450307246
DOI 10.1145/2000259.2000289
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-06-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Fault tolerance Architecture Grid Mapreduce Reliability
Content Type Text
Resource Type Article
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