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How to choose the best service provider (agent), which a service consumer can trust in terms of the quality and success rate of the service in an open and dynamic environment, is a challenging problem in many service-oriented applications such as Internet-based grid systems, e-trading systems, as well as service-oriented computing systems. This paper presents a Priority-Based Trust (PBTrust) model...
In Cloud service composition, collaboration between brokers and service providers is essential to promptly satisfy incoming Cloud consumer requirements. These requirements should be mapped to Cloud resources, which are accessed via web services, in an automated manner. However, distributed and constantly changing Cloud-computing environments pose new challenges to automated service composition such...
Automated web service composition has been tackled from different directions and to different purposes. In addition, most of the approaches address the composition problem with under specified requirements, returning compositions models that do not necessarily satisfy and fulfill end-users objectives. Satisfying the latter objectives is a difficult problem, especially from scratch, which requires...
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are M distributed players competing for N independent arms. Each arm, when played, offers i.i.d. reward according to a distribution with an unknown parameter. At each time, each player chooses one arm to play without exchanging observations or any information with other players. Players choosing the same arm collide, and,...
Automatic discovery of Web services is a crucial task for e-business communities. Locating and selecting "the best" Web service from a vast number of similar services that matches the user's requirements and preferences is a cognitive challenge and requires the use of an intelligent decision making framework. This paper develops a flexible ontological architecture and framework for semantic...
Computing environments are becoming more open, distributed and pervasive. The web services compositions we build for these dynamic environments will need to become more adaptable and adaptive to unexpected events. This paper proposes a new web services compositions model-Organization Oriented Adaptive Web Services Compositions Framework (OOAWSCF) allowing dynamically adaptively evolve to keep up with...
Task allocation is still a fundamental problem in multi-agents system (MAS). It allows coalition formation of agents in order to cooperate together to perform a complex task. In general, the task allocation process includes two steps: i) finding the set of agents that can, potentially, participate to task allocation process, ii) computing the optimal allocation to execute the given task. In this work...
We propose a formal framework based on finite state process algebra for modeling service coordination in agent systems. The model is inspired by WS-coordination specification. Several participant agents can coordinate their actions towards reaching a semantically consistent outcome in a distributed activity. The model defines coordinator and participant agents and their generic interaction protocols...
The dynamic nature of service-oriented architectures challenges traditional systems management practices which tend to be static in nature. We propose a goal-oriented, agent-based approach to management using autonomic computing. In this paper we define a services management model that consists of a number of constructs including managed resources, agents, events, event streams and management goal...
User's requirements have become a key factor for any Quality of Service (QoS) management model to succeed. The advent and rise of new broadband services and network architectures (Triple-Play-Services, NGN...) depends on the ability of providers to achieve user's expectations in these scenarios. For that reason, the overall end user's perception (Quality of Experience - QoE) must be audited, on a...
This work presents a hybrid distributed service oriented architecture (SOA), which exploits the agent paradigm to process the local knowledge and define associated semantic Web services. Task-oriented agents achieve decision making activities, by eliciting knowledge coded in proprietary file formats and then transforming this knowledge into deployable web services. Synergistic integration of fuzzy...
Agent-based computing environments provide the capability to establish an enterprise of autonomous agents that collaborate and share information on common interests. Discovery of new data can alert users to changes in the information environment of importance to them. The goal of this research is to define an agent environment that models an organization's tacit knowledge. This document proposes a...
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