A fuzzy MADM approach for grid services composition

Abstract

In service oriented computing applications, different resources in grid systems are encapsulated abstractly as services. Sometime, single service software can provide valuable service functions for service consumers, but most of the time, single atomic service can not satisfy them. In this case, the system builds a new composite service, which selects all available qualified grid service for composition. Services with similar and compatible functionality may be offered at different QoS levels. Thus, to build a service process, decisions must be made to select component services at appropriate QoS levels. Therefore, quality of service (QoS) aspects is crucial for selecting the grid services to take part in the composition of the new service. In this paper, we address to the problem of Grid services composition based on QoS parameters with end-to-end constraints, we suggest a new model, which transform any model of composition to a sequential model, and we propose a new approach based on the application of a Fuzzy Multiple Attribute Decision Making technique in order to guide the composition process to selected an optimal composite service.

SFL Algorithm for QoS-based Cloud Service Composition

“…For example, in [13] an integer programming (IP) is proposed to solve multi criteria decision making MCDM problem, whereas method [14] resolves similar problems by using Fuzzy-MADM technique. In the same line the work [12] extends the linear programming model to include local constraints.…”

“…Most of them try to improve the existing techniques used within the framework of web services orchestration like BPEL workflow or IA Planner [1] [3], [4]. Other methods [9], [12], [13], focus on semantic similarities between services parameters but it deal only with aspects of the functional composition. However, other approaches such as [12], [13], [14], propose the computation of QoS-aware service composition by considering their similarities on the semantic level of links, they were focused on computation of QoSaware web service composition and different techniques were proposed to handle the optimization of multi-path compositions.…”

“…Other methods [9], [12], [13], focus on semantic similarities between services parameters but it deal only with aspects of the functional composition. However, other approaches such as [12], [13], [14], propose the computation of QoS-aware service composition by considering their similarities on the semantic level of links, they were focused on computation of QoSaware web service composition and different techniques were proposed to handle the optimization of multi-path compositions. For example, in [13] an integer programming (IP) is proposed to solve multi criteria decision making MCDM problem, whereas method [14] resolves similar problems by using Fuzzy-MADM technique.…”