Analyzing Communities vs. Single Agent-Based Web Services: Trust Perspectives

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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“…[46][47][48][49] Two types of roles are defined for community members: The protocol is centrally executed by the community manager agent.…”

Section: Related Workmentioning

confidence: 99%

“…This architecture has been further extended in previous studies. [46][47][48][49] Two types of roles are defined for community members:…”

Section: Maamar Et Al Initially In One Studymentioning

confidence: 99%

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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Section: Community Of 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%

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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“…As web service composition make use of different web services and malfunctioning of one of them can lead to the whole system failure, we can prevent this situation by verifying each single web service. Furthermore, in a community of web services [2], a community master can accept or reject a web service after its verification.…”

Section: Introductionmentioning

confidence: 99%

On the Verification of Behavioral and Probabilistic Web Services Using Transformation

Oghabi

Benharref

2011

2011 IEEE International Conference on Web Services

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In this paper, we propose a preliminary approach for automating web service verification. We use Semantic Markup for Web Services (OWL-S) to describe web service behavior. We parse the OWL-S file and transform it automatically to a corresponding Markov chain diagram or Markov decision process, which are then transformed to a PRISM model to be used as input by PRISM, a probabilistic model checker, to verify automatically the web service behavior. We provide an implementation of the transformation algorithm through a developed software tool automating all the transformation and verification activities.

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Analyzing Communities vs. Single Agent-Based Web Services: Trust Perspectives

Cited by 10 publications

References 8 publications

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

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

Game-Theoretic Analysis of a Web Services Collaborative Mechanism

On the Verification of Behavioral and Probabilistic Web Services Using Transformation

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