Genetic algorithm for QoS-aware dynamic web services composition

Fanjiang, Yong-Yi; Syu, Yang; Wu, Changxu; Kuo, Jong-Yih; Ma, Shang‐Pin

doi:10.1109/icmlc.2010.5580691

Cited by 18 publications

(7 citation statements)

References 9 publications

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“…Several other technologies are proposed to enable the web services composition such as neural network by (Maamar et al, 2005), petri net by (Zhu and Du, 2010) and genetic algorithm by (Liu et al, 2010). However, all these approaches take into account just the user's requirements and neglect the service providers needs i.e., in increasing the profitability for the business providers, this point is highlighted by (Sandhya and Lakshmi, 2013).…”

Section: Jcsmentioning

confidence: 99%

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

Latrache¹

2014

Journal of Computer Science

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Nowadays, the focus is not only on how to exchange data between companies but also on how to exchange services between them or between companies-customers in order to minimize IT charges and increase their profit. Thus, web services are an adequate solution for the e-business thanks to their interoperability and reusability. The combination of web services and semantic technology, which are called Semantic Web Services (SWS), allows their discovery-composition-invocation process to be automatically performed by programs or intelligent agents. However, this process is still a challenging task that includes several issues such as the complexity of finding and composing distributed SWS. In this study we present a mobile agent based approach to discover and compose SWS in a distributed environment and extend some algorithms related to this field. The article reports examples and experimental results in order to illustrate as well as to assess the benefits of the proposed approach.

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Section: Jcsmentioning

confidence: 99%

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

Latrache¹

2014

Journal of Computer Science

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“…Another paper [13] chose simulated annealing algorithm instead of Tabu search to prevent the searching process from trapping into local optima. The paper [41] pointed out that workflow construction and QoS were two important criteria used to analyze the characteristic of each approach of web service composition. In a word, some methods are QoS-based service composition using genetic algorithm [25], [11], [21], [18], [13], [46], [40], [41] and some are workflow based [9].…”

Section: B Genetic Algorithmmentioning

confidence: 99%

A survey on bio-inspired algorithms for web service composition

Wang

Shen

Yong

2012

Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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Web service composition has become a promising technology in a variety of e-science or e-business areas. There are a variety of models and methods to deal with this issue from dierent aspects. Bioinspired algorithms are becoming main approaches and solutions. This paper reviews the current researches on web service composition based on bio-inspired algorithms, such as Ant Colony Optimization(ACO), Genetic Algorithm(GA), Evolutionary Al-gorithm(EA) and Particle Swarm Optimization(PSO). By analyzing and investigating dierent approaches, this paper gives an overview about the researches on bio-inspired algorithm in web service composition and point out future directions.

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“…In Table 1 part of works on service composition area is shown. Service composition issue is divided into two main fields including service selection and service composition [17]. In Figure 1, service selection methods are classified according to [18].…”

Section: Review Of Literaturementioning

confidence: 99%

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

Nahvi¹,

Habibi²

2016

ijacsa

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Abstract-The application of service-orientated architecture in organizations for implementation of complicated workflows in electronic way using composite web services has become widespread. Thus, challenging research issues have also been raised in this regard. One of these issues is constructing composite web services by workflows. These workflows are composed of existing web services. Selections of a web service for each of workflow activities and fulfilling users' conditions is still regarded as a major challenge. In fact, selection of a web service out of many such web services with identical function is a critical task which generally depends on composite evaluation tool of QoS. Previously proposed approaches do not consider exchange restrictions on the composition process and internal processes of architecture and previous experiences, and they ignore the fact that value of many of QoSs depends on the time of implementation. Selection of web services only based on QoS does not bring about optimal composite web service. Thus, till now, no solution has been proposed that performs composition process automatically or semi-automatically in optimal manner Objective: identification of existing concerns on composition of services and then designing a framework to provide a solution which consider all concerns and finally performing tests in order to examine and evaluate proposed framework Method: in the proposed framework, elements affecting management of service-oriented architecture processes are organized according to a logical procedure. This framework identifies processes of this style of architecture based on requirements in service-oriented architecture processes management and according to qualitative features in this area. In the proposed framework, in addition to using existing data in the problem area, existing structure and patterns in the area of software architecture are also utilize, and management processes in service-orientated architecture are improved based on propriety of available requirements. QWV are qualitative weighted dynamic features which indicate priority of users, and QF is quality factor of service at the time of implementation which is weighted in the framework. These factors are used for constructing composite web service. Multifactor computing is known as a natural computational system for automating the interaction between services. The factors in multi-agent systems can be used as the main reliable mechanism for the control which usually use data exchange for accelerating their evaluations. For identification of all concerns in the solution space, many aspects should be examined. To this end, classes of agents are defined which investigate these aspects in the form of four components using repository data.Results: proposed framework was simulated by Arena software and results showed this framework can be useful in automatic generation of needed services and meet all concerns at the same time. Results support that using agents in the model increased speed of accountability and ...

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Genetic algorithm for QoS-aware dynamic web services composition

Cited by 18 publications

References 9 publications

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

A survey on bio-inspired algorithms for web service composition

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

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Genetic algorithm for QoS-aware dynamic web services composition

Cited by 18 publications

References 9 publications

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

A survey on bio-inspired algorithms for web service composition

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

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Product

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A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services

A Mobile Agent Based Approach for Automating discover-Compose Process of Semantic Web Services