Web services workflow with result data forwarding as resources

Zhang, Donglai; Coddington, P.D.; Wendelborn, Andrew L.

doi:10.1016/j.future.2010.12.015

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…The performance gains are higher when the workflow process larger data, similarly to the trend shown by Zhang et al in [24] where data was forwarded as WSRF resources. In contrast to Zhang et al's implementation, our data-flow delegation support is built on top of a standard web service framework.…”

Section: Discussionsupporting

confidence: 65%

“…The idea was realized using WSRF 8 resources. Zhang et al [24] came up with a similar approach suggesting to forward the intermediate data as WSRF resources directly from one web service to another in the process of orchestration. It is realized by extending an existing WSRF-compliant web services framework with data-forwarding capabilities.…”

Section: Related Workmentioning

confidence: 99%

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Direct data transfer between SOAP web services in orchestration

Subramanian

Sztromwasser

Petersen

et al. 2012

Proceedings of the 14th International Conference on Information Integration and Web-Based Applications &Amp; Services

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In scientific data analysis, workflows are used to integrate and coordinate resources such as databases and tools. Workflows are normally executed by an orchestrator that invokes component services and mediates data transport between them. Scientific data are frequently large, and brokering large data increases the load on the orchestrator and reduces workflow performance. To remedy this problem, we demonstrate how plain SOAP web services can be tailored to support direct service-to-service data transport, thus allowing the orchestrator to delegate the data-flow. We formally define a data-flow delegation message, develop an XML schema for it, and analyze performance improvement of data-flow delegation empirically in comparison with the regular orchestration using an example bioinformatics workflow.

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Section: Discussionsupporting

confidence: 65%

Section: Related Workmentioning

confidence: 99%

Direct data transfer between SOAP web services in orchestration

Subramanian

Sztromwasser

Petersen

et al. 2012

Proceedings of the 14th International Conference on Information Integration and Web-Based Applications &Amp; Services

View full text Add to dashboard Cite

show abstract

“…In [8], a similar approach is proposed, which built complex applications from a high level workflow specification by applying contingency planning technique. However, the drawback of these techniques is high computation complexity, which often means that only suboptimal solution can be obtained by some heuristic functions.…”

Section: Related Workmentioning

confidence: 99%

“…The performance of the proposed algorithm (Evolution-strategy based Service Composition Algorithm, ESCA) are compared with three classic composition policy, which includes Global Composition Optimization Algorithm [8] (GCOA), Local Composition Optimization Algorithm [16] (LCOA), and Agent-based Service Composition Algorithm [20] (ASCA). Four QoS measurements are all considered separately in our experiments, and experimental results are shown in Figure 2 and Figure 3.…”

Section: Performance Comparisonmentioning

confidence: 99%

ESCA: Evolution-strategy based Service Composition Algorithm for Multiple QoS Constrained Cloud Applications

Changsong¹

2014

IJFGCN

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“…Habich et al have foreseen the need to decouple service implementation and data transfers in [22], but they cannot achieve full transparency, since plain clients are prevented from invoking those services that employ their framework. Finally, two interesting approaches are described in [24] and [25], where the data-transfers in workflows are addressed. The former takes advantage of service-proxies to share data, without involving the workflow engine; the latter introduces the state concept in workflows, to share intermediate data among successive services.…”

Section: Performance Evaluationmentioning

confidence: 99%

Enabling Advanced Loading Strategies for Data Intensive Web Services

Zagarese

Zimeo

Baude

2012

2012 IEEE 19th International Conference on Web Services

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International audienceImproving performance of Web services interactions is an important factor to burst the adoption of SOAin mission-critical applications, especially when they deal with large business objects whose transfer time is not negligible. Designing messages dynamic granularity (offloading) is a key challenge for achieving good performances. This requires the server being able to predict the pieces of data actually used by clients in order to send only such data. However, exact prediction is not easy, and consequently lazy interactions are needed to transfer additional data whenever the prediction fails. To preserve semantics, lazy accesses to the results of a Web service interaction need to work on a dedicated copy of the business object stored as application state. Thus, dynamic offloading can experience an overhead due to a prediction failure, which is the sum of round-trip and storage access delays, which could compromise the benefits of the technique. This paper improves our previous work enabling dynamic offloading for both IN and OUT parameters, and analyses how attributes copies impact on the technique, by comparing the overheads introduced by different storage technologies in a real implementation of a Web services framework that extends CXF. More specifically, we quantitatively characterize the execution contexts that make dynamic offloading effective, and the expected accuracy of the predictive strategy to have a gain in term of response time compared to plain services invocations. Finally, the paper introduces the Attribute Loading Delegation technique that enables optimized data-transfers for those applications where data-intensive multiple-interactions take place

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Web services workflow with result data forwarding as resources

Cited by 7 publications

References 2 publications

Direct data transfer between SOAP web services in orchestration

Direct data transfer between SOAP web services in orchestration

ESCA: Evolution-strategy based Service Composition Algorithm for Multiple QoS Constrained Cloud Applications

Enabling Advanced Loading Strategies for Data Intensive Web Services

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