Exception diagnosis inagent-based grid computing

Shah, Nazaraf; Chao, Kuo‐Ming; Godwin, Nick; Younas, Muhammad; Laing, Christopher

doi:10.1109/icsmc.2004.1400835

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…In our research we use special exception diagnosis agents associated with each problem solving agent [16,17]. These diagnosis agents help problem solving agents in diagnosing the causes of runtime exceptions.…”

Section: Proposed Exception Ontologymentioning

confidence: 99%

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Exception representation and management in open multi-agent systems

Shah¹,

Iqbal²,

James³

et al. 2009

Information Sciences

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Section: Proposed Exception Ontologymentioning

confidence: 99%

“…We have designed and implemented an exception diagnosis agent called a sentinel agent [17]. The implementation uses the JACK TM agent framework [7] and the Java programming language.…”

Section: Exception Diagnosing Agentmentioning

confidence: 99%

Exception representation and management in open multi-agent systems

Shah¹,

Iqbal²,

James³

et al. 2009

Information Sciences

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“…In our research we use special exception diagnosis agents associated with each problem solving agents [11,12]. These diagnosis agents help problem solving agents in diagnosing the causes of runtime exceptions.…”

Section: Our Proposed Approach: Exception Ontologymentioning

confidence: 99%

Ontological Model for Exception Management in Open Multi-Agent Systems

Shah

Iqbal

James

et al. 2007

2007 11th International Conference on Computer Supported Cooperative Work in Design

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One of the major issues in dealing with exceptions in open multi-agent systems (MAS) is lack of uniform representation of exceptions and their shared semantics. In the absence of a uniform framework different business organization may use different representations for the same exception or may interpret the same exception in different way. In order to address this issue we present an ontological approach to provide a uniform way of representing and interpreting exceptions in cross-organizational settings. This helps agents from different organizations to interpret exceptional situations in an unambiguous way and exchange exception related information using standard structures. We believe that exception ontology along with domain ontology increases the open MAS reliability and also enhances its fault tolerance capability.

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“…A sentinel agent uses these rules to guide the diagnosis process. For details of Disputed Contracts KB, Acquaintances Address, and Coordination KB see [9].…”

Section: Figure 1 Proposed Architecturementioning

confidence: 99%

“…The proposed architecture is shown in Figure 1 and is an upgraded version of our previously implemented architecture [9], its key components are briefly described below. The purpose of the architecture is to detect and diagnose runtime exceptions in an open MAS.…”

Section: Proposed Architecturementioning

confidence: 99%

Exception Diagnosis in Open Multi-Agent Systems

Shah

Chao

Godwin

et al.

IEEE/WIC/ACM International Conference on Intelligent Agent Technology

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Open multi-agent systems (MAS) are decentralized and highly distributed systems that consist of a large number of loosely coupled autonomous agents. Diagnosing exceptions in such systems is a complex task due to the distributed nature of their data and their control. This complexity is exacerbated in open environments where independently developed autonomous agents interact with each other in order to achieve their goals. Inevitably, exceptions will occur in such MAS and these exceptions can arise at one of three levels, namely environmental, knowledge and social levels. In this paper we propose a novel exception diagnosis system that is able to analyse and detect exceptions effectively. The proposed architecture consists of specialised exception diagnosis agents called sentinel agents. The sentinel agents are equipped with knowledge of observable abnormal situations, and their underlying causes.

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Exception diagnosis inagent-based grid computing

Cited by 8 publications

References 10 publications

Exception representation and management in open multi-agent systems

Exception representation and management in open multi-agent systems

Ontological Model for Exception Management in Open Multi-Agent Systems

Exception Diagnosis in Open Multi-Agent Systems

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