Decentralized orchestration of composite web services

Chafle, Girish; Chandra, S.; Mann, Vijay; Nanda, Mangala Gowri

doi:10.1145/1013367.1013390

Cited by 152 publications

(64 citation statements)

References 11 publications

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“…Many of the patterns discussed here are identified by Ding et al [10], whilst the QoS attributes of the core patterns are documented by [5,8,25]. However, their description in an MDA based Web service context is novel.…”

Section: Distribution Patternsmentioning

confidence: 94%

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Model Driven Design of Distribution Patterns forWeb Service Compositions

Barrett

Pahl

2006

2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06)

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Increasingly, distributed systems are being constructed by composing a number of discrete components. This practice, termed composition, is particularly prevalent within the Web service domain. Here, enterprise systems are built from many existing discrete applications, often legacy applications exposed using Web service interfaces. There are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed. However, the amount of code required to realise these distribution patterns is considerable. In this paper, we propose a novel Model Driven Architecture using UML 2.0, which takes existing Web service interfaces as its input and generates an executable Web service composition, based on a distribution pattern chosen by the software architect.

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Section: Distribution Patternsmentioning

confidence: 94%

“…Instead, we choose to use an open source WS-BPEL engine, activeBPEL. Although WS-BPEL is an orchestration engine, we can use it to apply distribution patterns based on the work in [8].…”

Section: Tool Implementationmentioning

confidence: 99%

Model Driven Design of Distribution Patterns forWeb Service Compositions

Barrett

Pahl

2006

2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06)

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“…In their approach, Nanda et al construct the dependency graph of a Bpel program with the aim of minimizing communication costs while maximizing throughput. Chafle et al [16] decentralize the orchestration of a FindRoute service by partitioning the Bpel code into four parts, which are executed by four distinct Java engines. Afterward, Chafle et al compare the performance of the centralized and the decentralized implementation by using both service-time and message-size metrics.…”

Section: Distributed Orchestration/workflowmentioning

confidence: 99%

Partially distributed coordination with Reo and constraint automata

Jongmans

Santini

Arbab

2015

SOCA

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Coordination languages, such as Reo, have emerged for the specification and implementation of interaction protocols among concurrent entities, manifested as connectors. In this paper, we describe a theoretical justification and a practical proof-of-concept tool for automatically generating partially distributed, partially centralized implementations of Reo connectors. Such implementations have three performance advantages: faster compilation at build time (compared to a purely centralized approach), reduced latency at run time (compared to a purely distributed approach), and improved parallelism at run time (compared to a purely centralized approach). Our theory relies on the definition of a new product operator on constraint automata (Reo's formal semantics), which we use to formally justify distributions of disjoint parts of a coordination scheme over different machines according to several possible motivations (e.g., performance, QoS constraints, privacy, resource availability, and network topology). To exemplify our work, in a case study, we show and explain how a generated connector implementation can be executed.

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“…In (Chafle et al, 2004), an architecture for decentralised orchestration of composite Web services de-fined in BPEL is proposed. Our research deals with a set of challenges not addressed by this architecture: how to optimise service-oriented DAG-based workflows, how to automatically deploy a workflow across a set of volunteer proxy nodes given a workflow topology, where to place proxies in relation to Web services, how these concepts operate across Internetscale networks.…”

Section: Techniques In Data Transfer Optimisationmentioning

confidence: 99%

Decentralised Orchestration of Service-Oriented Scientific Workflows

Barker

Buyya

2011

Proceedings of the 1st International Conference on Cloud Computing and Services Science

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Service-oriented workflows in the scientific domain are commonly composed as Directed Acyclic Graphs (DAGs), formed from a collection of vertices and directed edges. When orchestrating service-oriented DAGs, intermediate data are typically routed through a single centralised engine, which results in unnecessary data transfer, increasing the execution time of a workflow and causing the engine to become a performance bottleneck. This paper introduces an architecture for deploying and executing a service-oriented DAG-based workflows across a peer-to-peer proxy network. A workflow is divided into a set of vertices, disseminated to a group of proxies and executed without centralised control over a peer-to-peer proxy network. Through a Web services implementation, we demonstrate across PlanetLab that by reducing intermediate data transfer and by sharing the workload between distributed proxies, end-to-end workflows are sped up. Furthermore, our architecture is non-intrusive: Web services owned and maintained by different institutions do not have to be altered prior to execution.

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Decentralized orchestration of composite web services

Cited by 152 publications

References 11 publications

Model Driven Design of Distribution Patterns forWeb Service Compositions

Model Driven Design of Distribution Patterns forWeb Service Compositions

Partially distributed coordination with Reo and constraint automata

Decentralised Orchestration of Service-Oriented Scientific Workflows

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