Recording Process Documentation in the Presence of Failures

Chen, Zheng; Moreau, Luc

doi:10.1007/978-3-642-00867-2_10

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The maintained information is used to cope with the case where both actors in an interaction request to update the other's viewlink in that interaction. The internal behavior of the coordinator and the management of maintained request information are detailed in [4].…”

Section: F-psl Includes a Set Of Application Programmingmentioning

confidence: 99%

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Implementation and Evaluation of a Protocol for Recording Process Documentation in the Presence of Failures

Zheng

Moreau

2008

Lecture Notes in Computer Science

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Abstract. The provenance of a particular data item is the process that led to that piece of data. Previous work has enabled the creation of detailed representation of past executions for determining provenance, termed process documentation. However, current solutions to recording process documentation assume a failure free environment. Failures result in process documentation not being recorded, thereby causing the loss of evidence that a process occurred. We have designed F-PReP, a protocol to guarantee the recording of process documentation in the presence of failures. This paper discusses its implementation and evaluates its performance. The result reveals that it introduces acceptable overhead.

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Section: F-psl Includes a Set Of Application Programmingmentioning

confidence: 99%

“…F-PReP provides remedial actions and a novel component, Update Coordinator. It has been formalized as an abstract state machine and its correctness has been proved in [4].…”

Section: Fig 2 Dangling Links and Isolated Islands In Provenance Stmentioning

confidence: 99%

Implementation and Evaluation of a Protocol for Recording Process Documentation in the Presence of Failures

Zheng

Moreau

2008

Lecture Notes in Computer Science

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The Foundations for Provenance on the Web

Moreau¹

2010

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Provenance, i.e., the origin or source of something, is becoming an important concern, since it offers the means to verify data products, to infer their quality, to analyse the processes that led to them, and to decide whether they can be trusted. For instance, provenance enables the reproducibility of scientific results; provenance is necessary to track attribution and credit in curated databases; and, it is essential for reasoners to make trust judgements about the information they use over the Semantic Web. As the Web allows information sharing, discovery, aggregation, filtering and flow in an unprecedented manner, it also becomes very difficult to identify, reliably, the original source that produced an information item on the Web. Since the emerging use of provenance in niche applications is undoubtedly demonstrating the benefits of provenance, we contend that provenance can and should reliably be tracked and exploited on the Web, and we survey the necessary foundations to achieve such a vision. Using multiple data sources, we have compiled the largest bibliographical database on provenance so far. This large corpus allows us to analyse emerging trends in the research community. Specifically, using the CiteSpace tool, we identify clusters of papers that constitute research fronts, from which we derive characteristics that we use to structure our foundational framework for provenance on the Web. We note that such an endeavour requires a multidisciplinary approach, since it requires contributions from many computer science sub-disciplines, but also other non-technical fields given the human challenge that is anticipated. To develop our vision, it is necessary to provide a definition of provenance that applies to the Web context. Our conceptual definition of provenance is expressed in terms of processes, and is shown to generalise various definitions of provenance commonly encountered. Furthermore, by bringing realistic distributed systems assumptions, we refine our definition as a query over assertions made by processes. Given that the majority of work on provenance has been undertaken by the database, workflow and e-science communities, we review some of their work, contrasting approaches, and focusing on important topics we believe to be crucial for bringing provenance to the Web, such as abstraction, collections, storage, queries, workflow evolution, semantics and activities involving human interactions. However, provenance approaches developed in the context of databases and workflows essentially deal with closed systems. By that, we mean that workflow or database management systems are in full control of the data they manage, and track their provenance within their own scope, but not beyond. In the context of the Web, a broader approach is required by which chunks of provenance representation can be brought together to describe the provenance of information flowing across multiple systems. This is the specific purpose of the Open Provenance Vision, which is an approach that consists of controlled vocabula...

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Recording Process Documentation in the Presence of Failures

Cited by 2 publications

References 19 publications

Implementation and Evaluation of a Protocol for Recording Process Documentation in the Presence of Failures

Implementation and Evaluation of a Protocol for Recording Process Documentation in the Presence of Failures

The Foundations for Provenance on the Web

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