Dynamic Service Selection in Workflows Using Performance Data | Zendy

David Walker | Zendy; Lican Huang | Zendy; Omer Rana | Zendy; Yan Huang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Dynamic Service Selection in Workflows Using Performance Data

Author(s) -

David Walker,

Lican Huang,

Omer Rana,

Yan Huang

Publication year - 2007

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2007/281741

Subject(s) - computer science , workflow , web service , service (business) , metadata , selection (genetic algorithm) , database , pruning , data as a service , set (abstract data type) , data mining , world wide web , machine learning , economy , agronomy , economics , biology , programming language

An approach to dynamic workflow management and optimisation using near-realtime performance data is presented. Strategies are discussed for choosing an optimal service (based on user-specified criteria) from several semantically equivalent Web services. Such an approach may involve finding "similar" services, by first pruning the set of discovered services based on service metadata, and subsequently selecting an optimal service based on performance data. The current implementation of the prototype workflow framework is described, and demonstrated with a simple workflow. Performance results are presented that show the performance benefits of dynamic service selection. A statistical analysis based on the first order statistic is used to investigate the likely improvement in service response time arising from dynamic service selection

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research