Enhancing Web services with diagnostic capabilities

Ardissono, Liliana; Console, Luca; Goy, Anna; Petrone, G.; Picardi, Claudia; Segnan, Marino; Dupré, Daniele Theseider

doi:10.1109/ecows.2005.12

Cited by 45 publications

(36 citation statements)

References 10 publications

(8 reference statements)

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“…The more comprehensive service logs are recorded, the more reliable diagnosis may be produced. Statistical studies have been reported in Wang et al (2005) and Ardissono et al (2005).…”

Section: The Diagnosis Phasementioning

confidence: 99%

A service accountability framework for QoS service management and engineering

Lin

Chang

2009

Inf Syst E-Bus Manage

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Service science, management and engineering (SSME) research is to study the methodology and technology for service innovation, design, development and delivery. Since service industry is very quality-sensitive and trust-dependent, we propose a service accountability management framework to detect, diagnose, defuse and disclose the root cause for any problematic service process. The accountability support is important for SSME since service processes often rely on external service providers to deliver part of the service functionalities. A service system must have effective yet efficient mechanisms to ensure that every external service is delivering a consistent and acceptable level of performance to meet the end-to-end quality of service (QoS) of the whole service process. In this paper, we present the accountability framework, identify the components in an accountable service architecture, and design an accountability diagnosis methodology. We also briefly present the inteLLigent Accountability Management Architecture (LLAMA) project which implements the accountability service bus (ASB), an agent-based middleware to support the monitoring, diagnosis, and reconfiguration of e-services. LLAMA ASB interacts with accountability agents to monitor services and the Accountability Authority to automatically diagnose faulty situations. The LLAMA technology is useful to ensure the QoS in SSME-based systems.

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“…The more comprehensive service logs are recorded, the more reliable diagnosis may be produced. Statistical studies have been reported in Wang et al (2005) and Ardissono et al (2005).…”

Section: The Diagnosis Phasementioning

confidence: 99%

A service accountability framework for QoS service management and engineering

Lin

Chang

2009

Inf Syst E-Bus Manage

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“…Consistently with Model-Based Diagnosis, the analysis of the exceptions is carried out in a component-based way 1 by introducing local diagnostic services that analyze the internal behavior of the orchestrated Web Services, and by employing a global diagnostic engine to combine the local diagnoses. Each local diagnoser analyzes the behavior of the corresponding orchestrated Web Service WS i by utilizing a diagnostic model M i which describes the control and data flow of WS i by specifying the possible correct and incorrect behavior.…”

Section: Intelligent Exception Management Frameworkmentioning

confidence: 99%

“…H can be seen as the solution of a Constraint Satisfaction Problem [8] where constraints express the relation between failures and service behavior. See [1] for details about the adopted diagnostic algorithm.…”

Section: Smart Failure Identificationmentioning

confidence: 99%

“…Each local diagnoser analyzes the behavior of the corresponding orchestrated Web Service WS i by utilizing a diagnostic model M i which describes the control and data flow of WS i by specifying the possible correct and incorrect behavior. The diagnostic model of a Web Service is a declarative description of its business logic and it specifies, as precisely as possible, the activities carried out by the Web Service, the messages it exchanges, information about dependencies between parameters of the executed activities and the fault messages it may generate [1].…”

Section: Intelligent Exception Management Frameworkmentioning

confidence: 99%

“…The analysis of the exceptions is carried out by diagnostic Web Services which explain the possibly incorrect execution of the orchestrated service providers by employing Model-Based Diagnosis techniques [1]. -A novel methodology to apply exception handlers, in order to make them sensitive to diagnostic information without modifying the standard exception management mechanisms offered by Web Service orchestration environments.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault Tolerant Web Service Orchestration by Means of Diagnosis

Ardissono

Furnari

Goy

et al. 2006

Software Architecture

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Abstract. Web Service orchestration frameworks support a coarse-grained kind of exception handling because they cannot identify the causes of the occurring exceptions as precisely as needed to solve problems at their origin. This paper presents a framework for Web Service orchestration which employs diagnostic services to support a fine grained identification of the causes of the exceptions and the consequent execution of effective exception handlers. Our framework is particularly suitable for intelligent exception handling in Enterprise Application Integration.

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