A Dynamic and Adaptable Service Composition Architecture in the Cloud Based on a Multi-Agent System

Merizig, Abdelhak; Kazar, Okba; Lopez-Sanchez, Maite

doi:10.4018/ijitwe.2018010104

Cited by 15 publications

(5 citation statements)

References 40 publications

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“…This work employed the Particle Swarm Optimization (PSO) algorithm to select the best services based on fitness function. Similarly, Merizig et al [60] proposed an agent-based architecture with a new cooperation protocol, which offered an automatic and adaptable service composition by providing a composite service with the maximum QoS. The approaches improved the service composition with better QoS, but failed to ensure the correctness of service QoS values.…”

Section: B Cloud Based Service Compositionmentioning

confidence: 99%

Service-oriented Broker for Effective Provisioning of Cloud Services – a Survey

Nagarajan¹,

Ramkumar²

2020

IJCDS

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Services computing plays a vital role in the field of information technology and enables users to perform web and cloud services in more efficient and effective manner. In the life cycle of services computing, phases such as service discovery, composition, and delivery of services and managing services as per the Service Level Agreements (SLA) have been received significant attention by the research community. Though web services and cloud services are two instances of services computing, their user communities significantly differ in various aspects, which include service specification, consumption, and adherence to service agreements. This paper approaches services computing from the perspective of two architectural paradigms namely Service-oriented Architecture (SOA) and Cloud computing. The existing research attempts performed in the phases of service discovery, composition and provisioning of services as per the SLA has been extensively reviewed from the perspective of SOA and Cloud. Based on the literature review, a number of research issues are also summarized towards achieving service excellence further. At the end, the paper emphasizes the need for service-oriented broker to enhance the discovery and provisioning process of cloud services.

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Section: B Cloud Based Service Compositionmentioning

confidence: 99%

Service-oriented Broker for Effective Provisioning of Cloud Services – a Survey

Nagarajan¹,

Ramkumar²

2020

IJCDS

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“…Merizig et al (2018) proposed an agent-based architecture with a new cooperation protocol, that offered an automatic and adaptable service composition by providing a composite service with the maximum QoS. Ghobaei-Arani et al (2018) addressed the problem of web service composition in geo-distributed cloud environments.…”

Section: Related Workmentioning

confidence: 99%

A QoS-based approach for cloud-service matchmaking, selection and composition using the Semantic Web

Modi

Garg

2019

JSIT

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Purpose Cloud computing provides a dynamic, heterogeneous and elastic environment by offering accessible ‘cloud services’ to end-users. The tasks involved in making cloud services available, such as matchmaking, selection and composition, are essential and closely related to each other. Integration of these tasks is critical for optimal composition and performance of the cloud service platform. More efficient solutions could be developed by considering cloud service tasks collectively, but the research and academic community have so far only considered these tasks individually. The purpose of this paper is to propose an integrated QoS-based approach for cloud service matchmaking, selection and composition using the Semantic Web. Design/methodology/approach In this paper, the authors propose a new approach using the Semantic Web and quality of service (QoS) model to perform cloud service matchmaking, selection and composition, to fulfil the requirements of an end user. In the Semantic Web, the authors develop cloud ontologies to provide semantic descriptions to the service provider and requester, so as to automate the cloud service tasks. This paper considers QoS parameters, such as availability, throughput, response time and cost, for quality assurance and enhanced user satisfaction. Findings This paper focus on the development of an integrated framework and approach for cloud service life cycle phases, such as discovery, selection and composition using QoS, to enhance user satisfaction and the Semantic Web, to achieve automation. To evaluate performance and usefulness, this paper uses a scenario based on a Healthcare Decision-Making System (HDMS). Results derived through the experiment prove that the proposed prototype performs well for the defined set of cloud-services tasks. Originality/value As a novel concept, our proposed integrated framework and approach for cloud service matchmaking, selection and composition based on the Semantic Web and QoS characterisitcs (availability, response time, throughput and cost), as part of the service level agreement (SLA) will help the end user to match, select and filter cloud services and integrate cloud-service providers into a multi-cloud environment.

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“…• Agents can provide services to other agents, but also to consumers of web services, whether commercial or individual [19].…”

Section: Agentmentioning

confidence: 99%

Web Service Selection Approach Based on Agent and Fuzzy Logic

Belouaar¹,

Kazar²,

Kabachi³

2019

Journal of Digital Information Management

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The context of this work is the selection of the services among a list of similar services. To differentiate between similar web services, the best approach to use is the one based on service quality (QoS) criteria. However, these criteria most of the time are imprecise and sometimes uncertain and ambiguous because they are based on discrete numerical data. In some situation, we need to apply the concept of partial truth, where the partial truth values are between two numerical values. The fuzzy logic can be applied to support the representation of imprecise, uncertain and ambiguous representation. It is based on the observation that people make decisions based on imprecise and nonnumerical information. In this work, we propose an approach for selecting web services based on the fuzzy logic. Indeed, we use fuzzy logic by translating the QoS values that are attributed to services into linguistic terms. In addition, we also allow the service client to formulate its requests in the form of linguistic terms. In this process, the system selects and render the desired web service to the client. Our solution is represented as three layers, i) User Layer, that receives functional or fuzzy requests from clients which treats and forward them to the next layer, ii) Basic Layer that implements the service-oriented architecture and also, obtains the QoS values from service repository; and iii) Fuzzy Layer that takes as input the quality criteria of each web service then proceeds to their fuzzification, ranking and finally assign the scores to the different web services. To validate our solution, we implemented it as a multi-agent system. The use of the notion of agent for web services is, therefore, a major challenge to equip web services with interesting capabilities of software agents and also improve the performance of the services selection system.

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A Dynamic and Adaptable Service Composition Architecture in the Cloud Based on a Multi-Agent System

Cited by 15 publications

References 40 publications

Service-oriented Broker for Effective Provisioning of Cloud Services – a Survey

Service-oriented Broker for Effective Provisioning of Cloud Services – a Survey

A QoS-based approach for cloud-service matchmaking, selection and composition using the Semantic Web

Web Service Selection Approach Based on Agent and Fuzzy Logic

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