
doi: 10.1002/cpe.1266
AbstractThe FT‐Grid system introduces a fault‐tolerance framework that allows faults occurring in service‐oriented systems to be tolerated, thus increasing the dependability of such systems. This paper presents the design, development and evaluation of FT‐Grid. We show empirical evidence of the dependability benefits offered by FT‐Grid by performing an experimental dependability analysis using fault‐injection testing performed with the WS‐FIT tool. We then illustrate a potential problem with voting‐based fault‐tolerance schemes in the service‐oriented paradigm—namely that individual channels within a fault‐tolerant system, supposed to be independent of each other, may in fact invoke common services as part of their workflow, thus increasing the potential for common‐mode failure of those channels. We propose a solution to this issue by using the technique of provenance to provide FT‐Grid with topological awareness. We implement a large experimental system, and—with the use of the Provenance Recording for Services system developed as part of the PASOA project at the University of Southampton—perform a large number of experiments that show that a topologically aware FT‐Grid system serves as a much more dependable system than any other configuration tested, while imposing a negligible timing overhead. Copyright © 2007 John Wiley & Sons, Ltd.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
