BPEL DT — Data-Aware Extension for Data-Intensive Service Applications

Habich, Dirk; Richly, Sebastian; Preissler, Steffen; Grasselt, Mike; Lehner, Wolfgang; Maier, Albert

doi:10.1007/978-3-7643-8864-5_8

Cited by 15 publications

(15 citation statements)

References 17 publications

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“…Habich et al introduce a seamless extension, BPELDT, to BPEL for the handling of massive data sets, which explicitly represents the dataflow in the process of data-intensive service composition and integrates special data propagation tools to speed up the execution efficiency of composite services [1]. In data-centric environments, Spiros Koulouzis et al propose a Web service framework, which solves the large data sets in SOAP messages during service invocation [2].…”

Section: Related Workmentioning

confidence: 99%

Optimizing Web Service Composition for Data-intensive Applications

Li²,

Yin

2014

IJDTA

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Section: Related Workmentioning

confidence: 99%

Optimizing Web Service Composition for Data-intensive Applications

Li²,

Yin

2014

IJDTA

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“…As a proof of concept we annotated a deep-sequencing (RNAseq) dataset executing our pipeline in an out-of-the-box BPEL workflow engine. BPEL was designed for business applications, and has no special support for scientific needs, in particular large data-traffic [23]. The execution time elapsed by the BPEL workflow was longer than the PartIO Java workflow used in the genome-scale test test, but the BPEL engine performs many additional operations (e.g.…”

Section: Bpel Testmentioning

confidence: 99%

Data partitioning enables the use of standard SOAP Web Services in genome-scale workflows

Sztromwasser

Petersen

Puntervoll

2011

Journal of Integrative Bioinformatics

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SummaryBiological databases and computational biology tools are provided by research groups around the world, and made accessible on the Web. Combining these resources is a common practice in bioinformatics, but integration of heterogeneous and often distributed tools and datasets can be challenging. To date, this challenge has been commonly addressed in a pragmatic way, by tedious and error-prone scripting. Recently however a more reliable technique has been identified and proposed as the platform that would tie together bioinformatics resources, namely Web Services. In the last decade the Web Services have spread wide in bioinformatics, and earned the title of recommended technology. However, in the era of high-throughput experimentation, a major concern regarding Web Services is their ability to handle large-scale data traffic. We propose a stream-like communication pattern for standard SOAP Web Services, that enables efficient flow of large data traffic between a workflow orchestrator and Web Services. We evaluated the data-partitioning strategy by comparing it with typical communication patterns on an example pipeline for genomic sequence annotation. The results show that data-partitioning lowers resource demands of services and increases their throughput, which in consequence allows to execute in-silico experiments on genome-scale, using standard SOAP Web Services and workflows. As a proof-of-principle we annotated an RNA-seq dataset using a plain BPEL workflow engine.

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“…Whereas this originally was seen as a promising approach to effectively deal with the heterogeneity of the services to be composed, over time this constraint has spawned a set of extensions to the BPEL language. For example, BPEL-SPE [25] for processes invoking other sub-processes, BPEL4People [26] for interaction with human operators, or -more recently -BPEL-DT [27] for data intensive applications; BPEL4Chor [28] for modeling choreographies and their participants; BPEL4JOB [29] with fault handling extensions and the added support for job submission to better deal with the requirements of scientific workflow applications. Also in the Grid workflows area, [30] proposes three new BPEL activities for invoking stateful WSRF-based Grid services.…”

Section: Motivationmentioning

confidence: 99%

RESTful Web service composition with BPEL for REST

Pautasso¹

2009

Data & Knowledge Engineering

161

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a b s t r a c tCurrent Web service technology is evolving towards a simpler approach to define Web service APIs that challenges the assumptions made by existing languages for Web service composition. RESTful Web services introduce a new kind of abstraction, the resource, which does not fit well with the message-oriented paradigm of the Web service description language (WSDL). RESTful Web services are thus hard to compose using the Business Process Execution Language (WS-BPEL), due to its tight coupling to WSDL. The goal of the BPEL for REST extensions presented in this paper is twofold. First, we aim to enable the composition of both RESTful Web services and traditional Web services from within the same process-oriented service composition language. Second, we show how to publish a BPEL process as a RESTful Web service, by exposing selected parts of its execution state using the REST interaction primitives. We include a detailed example on how BPEL for REST can be applied to orchestrate a RESTful e-Commerce scenario and discuss how the proposed extensions affect the architecture of a process execution engine.

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BPEL DT — Data-Aware Extension for Data-Intensive Service Applications

Cited by 15 publications

References 17 publications

Optimizing Web Service Composition for Data-intensive Applications

Optimizing Web Service Composition for Data-intensive Applications

Data partitioning enables the use of standard SOAP Web Services in genome-scale workflows

RESTful Web service composition with BPEL for REST

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