Consistent and decentralized orchestration of BPEL processes

Yu, Weihai

doi:10.1145/1529282.1529636

Cited by 8 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [15], a distributed execution engine is proposed based on a peer-to-peer architecture wherein nodes (similar to local engines) are distributed across multiple computer systems, and communicate by direct point-to-point notifications. A continuation-passing style, where information on the remainder of the execution is carried in messages, has been proposed in [16]. Nodes interpret such messages and thus conduct the execution of services without consulting a centralised engine.…”

Section: Related Workmentioning

confidence: 99%

GinFlow: A Decentralised Adaptive Workflow Execution Manager

Balderrama

Simonin

Tedeschi

2016

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

View full text Add to dashboard Cite

Workflow-based computing has become a dominant paradigm to design and execute scientific applications. After the initial breakthrough of now standard workflow management systems, several approaches have recently proposed to decentralise the coordination of the execution. In particular, shared space-based coordination has been shown to provide appropriate building blocks for such a decentralised execution. Uncertainty is also still a major concern in scientific workflows. The ability to adapt the workflow, change its shape and switch for alternate scenarios on-the-fly is still missing in workflow management systems. In this paper, based on the shared space model, we firstly devise a programmatic way to specify such adaptive workflows. We use a reactive, rule-based programming model to modify the workflow description by changing its associated direct acyclic graph on-the-fly without needing to stop and restart the execution from the beginning. Secondly, we present the GinFlow middleware, a resilient decentralised workflow execution manager implementing these concepts. Through a set of deployments of adaptive workflows of different characteristics, we discuss the GinFlow performance and resilience and show the limited overhead of the adaptiveness mechanism, making it a promising decentralised adaptive workflow execution manager.

show abstract

Section: Related Workmentioning

confidence: 99%

GinFlow: A Decentralised Adaptive Workflow Execution Manager

Balderrama

Simonin

Tedeschi

2016

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

View full text Add to dashboard Cite

show abstract

“…Suppressing this central space led to the design of HOCL-P2P, where both computations and communication are fully decentralized. In HOCL-P2P, a set of engines interact to execute a service composition in a peer-to-peer fashion, as proposed before for instance in works such as [25] or [26]. ChWSes now rely only on message passing to coordinate the workflow execution, as illustrated by Figure 10.…”

Section: Hocl-p2pmentioning

confidence: 99%

Rule-driven service coordination middleware for scientific applications

Fernández¹,

Tedeschi²,

Priol³

2014

Future Generation Computer Systems

View full text Add to dashboard Cite

International audienceWith the proliferation of Web services, scientific applications are more and more designed as temporal compositions of services, commonly referred to as workflows. To address this paradigm shift, different workflow management systems have been proposed. While their efficiency has been established over centralized static systems, it is questionable over decentralized failure-prone platforms. Scientific applications recently started to be deployed over large distributed computing platforms, leading to new issues, like elasticity, i.e., the possibility to dynamically refine, at runtime, the amount of resources dedicated to an application. This raised again the demand for new programming models, able to express autonomic self-coordination of services in a dynamic platform. Nature-inspired, rule-based computing models recently gained a lot of attention in this context. They are able to naturally expressing parallelism, distribution, and autonomic adaptation. While their high expressiveness and adequacy for this context has been established, such models severely suffer from a lack of proof of concepts. In this paper, we concretely show how to leverage such models in this context. We focus on the design, the implementation and the experimental validation of a chemistry-inspired scientific workflow management system

show abstract

“…al [16] proposes to process BPEL workflows without a central execution engine. One of its key goals is to enable dynamically composed workflows which also addresses changes in the task execution sequence in the presence of service failures.…”

Section: Related Workmentioning

confidence: 99%

Building a Customizable Business-Process-as-a-Service Application with Current State-of-Practice

Gey

Walraven

Landuyt

et al. 2013

Software Composition

View full text Add to dashboard Cite

Abstract. Application-level multi-tenancy is an increasingly prominent architectural pattern in Software-as-a-Service (SaaS) applications that enables multiple tenants (customers) to share common application functionality and resources among each other. This has the disadvantage that multi-tenant applications are often limited in terms of customizability: one application should fit the needs of all customers. In this paper, we present our experiences with developing a multi-tenant SaaS document processing system using current state-of-practice workflow technologies from the JBoss family. We specifically focus on the customizability w.r.t. the different tenant-specific requirements, and the manageability of the tenant-specific customizations. Our main experiences are threefold: (i) we were insufficiently able to modularize the activities and compositions that constitute the document processing workflow, (ii) we lacked support for describing tenant-level variations independently, and (iii) the workflow engine we employed is too centralized in terms of control, which limits resilience and thereby endangers scalability of the document processing application.

show abstract

Consistent and decentralized orchestration of BPEL processes

Cited by 8 publications

References 4 publications

GinFlow: A Decentralised Adaptive Workflow Execution Manager

GinFlow: A Decentralised Adaptive Workflow Execution Manager

Rule-driven service coordination middleware for scientific applications

Building a Customizable Business-Process-as-a-Service Application with Current State-of-Practice

Contact Info

Product

Resources

About