A Survey of Automated Web Service Composition Methods

Rao, Jinghai; Su, Xiaomeng

doi:10.1007/978-3-540-30581-1_5

Cited by 787 publications

(479 citation statements)

References 12 publications

Supporting

Mentioning

470

Contrasting

Unclassified

Order By: Relevance

“…In such techniques, both the initial state and the goal state are specified in the requirement by web service requester. AI planning composition techniques employ various methods including: Declarative composition, Situation calculus, Rule based composition, Theorem proving and Graph plan based composition [14,18,12]. The search based composition methods are categorized as: forward search based composition and backward search based composition.…”

Section: Related Work and Discussionmentioning

confidence: 99%

Towards Proactive Web Service Adaptation

Moustafa

Zhang

2012

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

View full text Add to dashboard Cite

Abstract. With the rapid development of web service technology, next generations of web service applications need to be able to predict problems, such as potential degradation scenarios, future erroneous behaviors and deviations from expected behaviors, and move towards resolving those problems not just reactively, but even proactively, i.e., before the problems occur. Service oriented applications are thus driven by the requirements that bring the concepts of decentralization, dynamism, adaptation, and automation to an extreme. In this paper, an approach is proposed that depends mainly on the concept of proactive adaptation by the use of reinforcement learning to achieve an autonomous dynamic behavior of web service composition considering potential degradation and emergence in QoS values. Experimental results show the effectiveness of the proposed approach in dynamic web service composition environments.

show abstract

Section: Related Work and Discussionmentioning

confidence: 99%

Towards Proactive Web Service Adaptation

Moustafa

Zhang

2012

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

View full text Add to dashboard Cite

show abstract

“…We believe, primary and recovery goals are an essential property of collaborative business processes which is not addressed by most work in the area of process composition [4]. This notion was inspired by the approach of Pistore and others, e. g. [5], who use model checking on a combined FSM of all business processes involved which leads to a state explosion for realistic examples.…”

Section: Discussionmentioning

confidence: 99%

Composing Web-service-like Abstract State Machines (ASMs)

Lemcke¹,

Friesen²

2007

2007 IEEE Congress on Services (Services 2007)

View full text Add to dashboard Cite

Abstract. We ease the design of collaborative business processes respecting desired business goals by the composition algorithm presented in this paper. The composition of multiple parties' business processes is always done with a specific objective in mind. Not only in the positive case, but also if the objective of a business process can not be fulfilled, all participating business processes need to be in some expected recovery state. We propose a composition algorithm solving the task of designing a collaborative business process while respecting a set of primary and recovery goals. In our model, each business process is described as a finite state machine. The multiplication of all business processes in one single model of possible executions would lead to an explosion of the number of states. Therefore, our composition algorithm directly interprets the multiple finite state machine (FSM) representations and creates a collaborative business process without integrating all FSMs into one single FSM upfront. Our composition algorithm returns an orchestration of the given business processes only in the case that it can be assured that each execution only leads to an expected primary or recovery goal. In order to prove our concepts, we first mathematically define the execution of business processes and orchestrations by providing abstract state machine (ASM) representations for them. Second, we execute the ASMs in the execution engine CoreASM which shows that the generated orchestration steers the execution of the business processes as intended.

show abstract

“…There have been many approaches to model this dimension. Most of these approaches can be divided into Workflow composition and AI planning based approaches, as discussed in [10]. The composition result can be regarded as a workflow because it includes the atomic Web services and the control and data flow between these services.…”

Section: Motivation and Related Workmentioning

confidence: 99%

An Integrated Declarative Approach to Web Services Composition and Monitoring

Zahoor

Perrin

Godart

2009

Web Information Systems Engineering - WISE 2009

View full text Add to dashboard Cite

Abstract. In this paper we propose a constraint based declarative approach for Web services composition and monitoring problem. Our approach allows user to build the abstract composition by identifying the participating entities and by providing a set of constraints that mark the boundary of the solution. Different types of constraints have been proposed to handle the composition modeling and monitoring. Abstract composition is then used for instantiating the concrete composition, which both finds and executes an instantiation respecting constraints, and also handles the process run-time monitoring. When compared to the traditional approaches, our approach is declarative and allows for the same set of constraints to be used for composition modeling and monitoring and thus allows for refining the abstract composition as a result of run-time violations, such as service failure or response time delays.

show abstract

A Survey of Automated Web Service Composition Methods

Cited by 787 publications

References 12 publications

Towards Proactive Web Service Adaptation

Towards Proactive Web Service Adaptation

Composing Web-service-like Abstract State Machines (ASMs)

An Integrated Declarative Approach to Web Services Composition and Monitoring

Contact Info

Product

Resources

About