A Novel Approach to Decentralized Workflow Enactment

Martin, Daniel; Wutke, Daniel; Leymann, Frank

doi:10.1109/edoc.2008.22

Cited by 43 publications

(29 citation statements)

References 11 publications

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“…In [19] the scalability argument made in this paper is also identified. The authors propose a methodology for transforming the orchestration logic in BPEL into a set of individual activities that coordinate themselves by passing tokens over shared, distributed tuple spaces.…”

Section: Techniques In Data Flow Optimisationmentioning

confidence: 70%

The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration

2009

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As the number of services and the size of data involved in workflows increases, centralised orchestration techniques are reaching the limits of scalability. In the classic orchestration model, all data passes through a centralised engine, which results in unnecessary data transfer, wasted bandwidth and the engine to become a bottleneck to the execution of a workflow.This paper presents and evaluates the Circulate architecture which maintains the robustness and simplicity of centralised orchestration, but facilitates choreography by allowing services to exchange data directly with one another. Circulate could be realised within any existing workflow framework, in this paper, we focus on WS-Circulate, a Web services based implementation.Taking inspiration from the Montage workflow, a number of common workflow patterns (sequence, fan-in and fanout), input to output data size relationships and network configurations are identified and evaluated. The performance analysis concludes that a substantial reduction in communication overhead results in a 2-4 fold performance benefit across all patterns. An end-to-end pattern through the Montage workflow results in an 8 fold performance benefit and demonstrates how the advantage of using the Circulate architecture increases as the complexity of a workflow grows.

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Section: Techniques In Data Flow Optimisationmentioning

confidence: 70%

The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration

2009

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“…In [21] the scalability argument made in this paper is also identified. The authors propose a methodology for transforming the orchestration logic in BPEL into a set of individual activities that coordinate themselves by passing tokens over shared, distributed tuple spaces.…”

Section: Techniques In Data Flow Optimisationmentioning

confidence: 99%

The benefits of service choreography for data-intensive computing

Barker

Besana

Robertson

et al. 2009

Proceedings of the 7th International Workshop on Challenges of Large Applications in Distributed Environments

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As the number of services and the size of data involved in workflows increases, centralised orchestration techniques are reaching the limits of scalability. In the classic orchestration model, all data pass through a centralised engine, which results in unnecessary data transfer, wasted bandwidth and the engine to become a bottleneck to the execution of a workflow. Choreography techniques, although more complex to model offer a decentralised alternative and are the optimal architecture for data-centric workflows; data are passed directly to where they are required, at the next service in the workflow.While orchestration is the dominant architectural approach, there are relatively few choreography languages and even fewer concrete implementations. This papers contributions are twofold. Firstly we argue the case for choreography in data-intensive computing, and demonstrate through workflow patterns the advantages in terms of scalability when a choreography architecture is adopted. Secondly we introduce the Light Weight Coordination Calculus (LCC), a type of process calculus used to formally define choreographies, and the OpenKnowledge framework, a choreography-based architecture, providing the functionality for peers to coordinate in an open peer-to-peer system. Through LCC and the OpenKnowledge framework we practically demonstrate how choreography can be achieved in a lightweight manner with a comparatively simple process language.

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“…Inferring properties of workflows is valuable for several important design-and run-time activities such as transforming and refactoring workflows, identifying patterns, facilitating run-time instrumentation, reshaping, or performing distributed enactment of service compositions [15].…”

Section: Introductionmentioning

confidence: 99%

Automated Attribute Inference in Complex Service Workflows Based on Sharing Analysis

Ivanović

Carro

Hermenegildo

2011

2011 IEEE International Conference on Services Computing

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Abstract-The properties of data and activities in business processes can be used to greatly facilitate several relevant tasks performed at design-and run-time, such as fragmentation, compliance checking, or top-down design. Business processes are often described using workflows. We present an approach for mechanically inferring business domain-specific attributes of workflow components (including data items, activities, and elements of sub-workflows), taking as starting point known attributes of workflow inputs and the structure of the workflow. We achieve this by modeling these components as concepts and applying sharing analysis to a Horn clause-based representation of the workflow. The analysis is applicable to workflows featuring complex control and data dependencies, embedded control constructs, such as loops and branches, and embedded component services.

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A Novel Approach to Decentralized Workflow Enactment

Cited by 43 publications

References 11 publications

The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration

The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration

The benefits of service choreography for data-intensive computing

Automated Attribute Inference in Complex Service Workflows Based on Sharing Analysis

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