Goal-Oriented Service Selection in Business Processes

Ukor, Roland; Carpenter, Andy

doi:10.1109/icsea.2009.76

Cited by 5 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another way to expand the spectrum of solutions is presented by Ukor and Carpenter in [110] where the extra dimension is added. For every abstract service, it searches through, many finer ones and checks if composite service can be constructed to realize abstract service in the process.…”

Section: ) Related Algorithmsmentioning

confidence: 99%

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Górski

Woźniak

2021

IEEE Access

View full text Add to dashboard Cite

Web services have become a standard way to provide functions of information systems. The number of web services grows rapidly with the increasing popularity of microservices architecture. In consequence, many business processes are executed entirely through web services. Therefore, optimizing the performance of business process execution may bring many benefits. There are many optimization methods in this area. Our systematic literature review aims to introduce available methods to researchers interested in the optimization of business process execution. We queried four databases: ACM, IEEE Xplore, Science Direct, and Springer. Out of 12150 initially found papers, we have selected 128 for the review. We have grouped methods presented in those papers into three stages of business process optimization: Resource Allocation, Service Composition, and Service Scheduling. Service Composition attracts the largest group of researchers with a vast majority of 119 articles in it. Moreover, the most popular are genetic algorithms. In general, researchers mainly propose heuristic methods that optimize business processes during run-time. We see the potential for further exploration at both Resource Allocation and Service Scheduling stages.

show abstract

Section: ) Related Algorithmsmentioning

confidence: 99%

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Górski

Woźniak

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Much of the recent work in the area of service selection has focused on the selection of technical Web services for use in Web service compositions [17][18][19][20][21][22][23][24][25][26][27][28][29]. However, some of the concepts and techniques that were used in these works are directly applicable to selection of process-oriented business services as well.…”

Section: Related Workmentioning

confidence: 99%

Service selection and horizontal multi‐sourcing in process‐oriented capability outsourcing

Ukor

Carpenter²

2011

J Software Evolu Process

Self Cite

View full text Add to dashboard Cite

SUMMARY Process‐oriented capability outsourcing is a type of B2B collaboration in which one organisation outsources parts of its business process to other organisations known as service providers. Current models and solution approaches for service selection in process‐oriented capability outsourcing do not provide support for horizontal multi‐sourcing—the ability to dynamically outsource a business capability to multiple independent service providers. This paper presents a new problem model for service selection based on the notion of request tokens, and evaluates three solution approaches to the problem: integer programming, tree‐search heuristic and genetic algorithm. Copyright © 2011 John Wiley & Sons, Ltd.

show abstract

“…Tao et al [10,11] described distributed manufacturing resource services based on OWL-S in the manufacturing grid environment, enabling these services to be semantically discovered and optimally composed to realize the multi-objective decision-making industrial task. A complex manufacturing grid task can be decomposed into several sub-tasks that can be executed by invoking corresponding atomic [12] presented a goal-oriented and taskdecomposition approach to service selection which abstracts from the individual business process activities used to access service capabilities based on non-functional properties such as Quality-of-Service (QoS) metrics.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based Multi-perspective Task Decomposition to Support Composite Manufacturing Service Discovery

et al. 2011

JDCTA

View full text Add to dashboard Cite

This paper explores an ontology-based multi-perspective task decomposition strategy to support composite service discovery of manufacturing resources across ubiquitous virtual enterprises in distributed manufacturing environments. A new ontology-based decomposition-supported service modeling approach is proposed for distributed management of heterogeneous manufacturing resources, enabling to add decomposition-aware semantics to manufacturing services to endow them with semantic capabilities needed for their flexible decomposition and reuse in distributed manufacturing. The multi-perspective task decomposition strategy based on description logic, production rule and workflow is used to support the decomposition and discovery of the heterogeneous manufacturing services in a meaningful manner. The proposed work can be combined with existing manufacturing service modeling and discovery works to handle much complicated service-oriented manufacturing tasks.

show abstract

Goal-Oriented Service Selection in Business Processes

Cited by 5 publications

References 18 publications

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Service selection and horizontal multi‐sourcing in process‐oriented capability outsourcing

Ontology-based Multi-perspective Task Decomposition to Support Composite Manufacturing Service Discovery

Contact Info

Product

Resources

About