QoS‐Based Filters in Web Service Compositions: Utilizing Multi‐Criteria Decision Analysis Methods

Abstract

During the past decade, Web services (WS) have gained attention, as they provided the means for interoperability between loosely coupled distributed systems over the Web. Regardless of the platforms and technologies deployed in their development, by using WS, the aforementioned systems can seamlessly exchange messages and, thus, engage into business transactions over the global network. Nevertheless, these opportunities resulted in a wide plethora of available WS, making it hard for end-users and composition engines to select the optimal service between two or more services with seemingly identical operational features. As a result, the WS composition engines often make decisions on the basis of the QoS criteria. In modern literature, many researchers have tried to confront the issue of QoS-based composition, by applying multi-criteria decision analysis (MCDA) methods often showing mixed results. This is due to the different characteristics of each MCDA method. In this work, we tried to identify the key criteria that should be taken into account when deciding the optimal MCDA method to use in a given scenario, on the basis of its unique business context, and in addition, we provide an empirical study in order to compare the advantages and disadvantages of the mostly used MCDA methods in the field of WS selection and composition.

An Approach for Web Service Selection and Dynamic Composition Based on Linked Open Data

“…In more detail, these methods enable the ranking of services or compositions, through the detailed evaluation of how alternatives cope in multiple criteria set by the end-user. As users can also set specific weights that correspond to the importance they place on certain criteria, those methodologies can provide solutions that are characterized by a high degree of personalization [28].…”

Utilizing Linked Open Data for Web Service Selection and Composition to Support e-Commerce Transactions

“…The application of PSO for solving the WS selection and composition problem, based on QoS characteristics, is feasible as shown in [8] [17]. In this work we apply this algorithm as a part of the selection process, nonetheless other selection algorithms can also be applied, such as multicriteria decision analysis methods [16] or constraint algorithms [4]. The PSO algorithm, was introduced in [10] and is described by authors as an algorithm simulating a social model, and in particular the behavior of bird flocking and fish schooling.…”

An integrated fuzzy-VIKOR-DEMATEL-TOPSIS technique for assessing QoS factors of SOA

“…Each scholar has a focus within the QoS research space. For instance, some are focusing on QoS composition (Liu and Zhang, 2017;Sujith et al, 2018;Vesyropoulos and Georgiadis, 2015;Zou et al, 2010). Others are also researching QoS Optimization (Beran et al, 2013;Mousa and Bentahar, 2016;Seghir and Khababa, 2021;Wang et al, 2015).…”