Analyzing Communities of Web Services Using Incentives

Khosravifar, Babak; Moazin, Ahmad; Thiran, Philippe

doi:10.4018/978-1-4666-1942-5.ch015

Cited by 7 publications

(11 citation statements)

References 13 publications

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“…To this end, the credibility of the user or the peer that provides the data is important. In [15], authors have designed a sound mechanism to address the credibility of the collected data from users. In [18], a multi-agent framework based on an ontology for QoS has been designed.…”

Section: Related Workmentioning

confidence: 99%

On the analysis of reputation for agent-based web services

Khosravifar¹,

Serhani²,

Alishahi³

2012

Expert Systems with Applications

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Highlights Theoretical analysis of reputation-based infrastructure for agent-based web services. Computation of incentives and penalties to make the system components trustful. Extensive simulation study of multiple scenarios confirming the theoretical findings. AbstractMaintaining sound reputation requires robust control and investigation.In this paper, we analyze a reputation mechanism that objectively maintains accurate reputation evaluation of selfish agent-based web services. In the proposed framework, web services are ranked using their reputation as result of provided feedback reflecting consumers' satisfaction. However, selfish web services may alter their public reputation level by managing to get fake feedback. We investigate the payoffs of different scenarios by focusing on the issues that discourage web services to act maliciously. We also analyze the details of the proposed mechanism by discussing simulation and empirical results that fully depict the system parameters and show the feasibility of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

On the analysis of reputation for agent-based web services

Khosravifar¹,

Serhani²,

Alishahi³

2012

Expert Systems with Applications

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“…This means web services can be used without worrying about how they are implemented or where in the world they are hosted. As in [4,5] and [8], we abstract web services as rational intelligent agents, which are benefit maximizers. In our framework, the goal of these agents is to receive user requests and satisfy them the best they can.…”

Section: Web Servicesmentioning

confidence: 99%

“…It will lead to a poor efficiency and therefore a drop in the users' satisfaction and reputation [6]. As argued in [4] and [6], a solution is to group different web services in a community. By aggregating the total number of requests that each single web service can handle, and redistributing them among all the members, a community will be granted a better availability and hence better efficiency.…”

Section: Community Of Web Servicesmentioning

confidence: 99%

“…They are loosely-coupled business applications and willing to cooperate in distributed settings for the sake of efficiency. To this end, there have been efforts made in collaboration between web services [4]. The objective of this collaboration is to increase web services' capabilities.…”

Section: Introductionmentioning

confidence: 99%

“…The concept of community of web services together with its relative details are explained in Section 2. 4.…”

Section: Introductionmentioning

confidence: 99%

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Game-Theoretic Analysis of a Web Services Collaborative Mechanism

Khosravifar

Clacens

Goffart

et al. 2011

Service-Oriented Computing

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Abstract. Web services are business applications having the capability to cooperate within groups to increase the efficiency of serving customers. There have been a number of proposed frameworks aggregating web services for the purpose of enhancing their capabilities with respect to providing the required service. However, the grouping procedure has got less attention. In this paper, we discuss the mechanism web services can use to join existing groups of web services (known as communities). Moreover, we analyze the scenarios where the community is filled up with web services that lied about their capabilities before joining. The objective is to provide and maintain a truthful environment where involving components act truthfully.

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Dynamic formation of service communities in the cloud under distribution and incomplete information settings

Khosrowshahi-Asl¹,

Estrada

Otrok

et al. 2017

Concurrency and Computation

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Communities that gather functionally identical or complementary cloud services aim to provide better visibility, efficiency, and market share. This paper investigates the issue of forming these communities in distributed decision-making settings under incomplete information. By incomplete information, we mean only partial information about the individual performance of cloud services within communities and about how they will behave within these communities is available. Forming communities in these particular settings is still an open problem. Most of the existing models require real-time global knowledge about the services and high computational complexity, which makes the community formation extremely hard and time-consuming. In this paper, we propose a strategic Distributed Decision-making Mechanism (DDM) that regulates the cloud services decision-making process. DDM first generates an initial set of data based on information obtained from existing cloud services regarding their single and cooperative efficiency. By analyzing this set and on the basis of a distance function, the decision-making mechanism with regard to which community to form is implemented as a decision profile of strategies and their expected utility computed in terms of computational efficiency. DDM efficiently and systematically helps 1) communities find appropriate cloud services to invite as new members and 2) single services find suitable communities to join. To evaluate the proposed mechanism, we performed experiments using real data including 142 users and 4,000 cloud services obtained from the CloudArmor, CloudHarmony, and WS-DREAM datasets. The experimental results show that our algorithms outperform the existing solutions. KEYWORDScloud services, community of services, distributed decision-making INTRODUCTIONModern applications are nowadays developed using service-oriented architecture and web services technology where the cloud's software as a service (SaaS) is de facto model for software delivery. To make these applications more efficient and adaptive to the new requirements of being flexible, cloud services including SaaS, platform as a service (PaaS), infrastructure as a service (IaaS), and backend as a service (BaaS) are shifted, from the perspective of design and engineering, from passive and individual components to intelligent, autonomous, and collaborative-based components having common goals. 1-4 Being collaborative entails new challenges towards analyzing the overall system's performance in achieving these common goals. 5-8 One of the initiatives towards strengthening this collaboration among services is capitalizing on the concept of virtual communities. 9-11 A virtual community of services is defined as a group of services offering similar and complementary functionalities with diverse non-functional properties that can ensure the inter-community and intra-community interactions.Despite the existence of the current services technologies (e.g., WSDL and SOAP) and cloud developments that enable developing virtual commun...

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Analyzing Communities of Web Services Using Incentives

Cited by 7 publications

References 13 publications

On the analysis of reputation for agent-based web services

On the analysis of reputation for agent-based web services

Game-Theoretic Analysis of a Web Services Collaborative Mechanism

Dynamic formation of service communities in the cloud under distribution and incomplete information settings

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