A monitoring approach for runtime service discovery

Mahbub, Khaled; Spanoudakis, George; Zisman, Andrea

doi:10.1007/s10515-010-0077-5

Cited by 11 publications

(9 citation statements)

References 52 publications

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“…the queries) in an external registry to maintain an up-to-date set of candidate replacement services for S c . The structural matching between a query and services is performed by evaluating the structural criteria in a query and structural specifications of services expressed in WSDL [19] by comparing signatures of service and query operations. This matching process is based on graph matching algorithms (e.g.…”

Section: B Service Discoverymentioning

confidence: 99%

“…The contextual distances are computed by evaluating contextual constraints in a query against the context information of a service provided by the context servers. A detailed description of the service discovery process can be found in [19] [29]. The Rule Adaptor is responsible for the identification, modification, creation, and removal of monitor rules.…”

Section: B Service Discoverymentioning

confidence: 99%

“…In fact, existing approaches tackle proactive adaptation according to different QoS aspects e.g [2] [22] . Similarly, in previous works, we have addressed the automatic generation of monitor rules based on user context, [10] [12], and service adaptation based on proactive service discovery [19] [29]. However, and as far as we are aware, there are no proposals integrating the automatic generation of context-based monitor rules and proactive adaptation of SBSs.…”

Section: Introductionmentioning

confidence: 99%

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MORPED: Monitor rules for proactive error detection based on run-time and historical data

Contreras

Mahbub

2014

The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)

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Existing approaches for monitoring Service-based Systems assume monitor rules are pre-defined and known in advance. Furthermore, in most of the cases, monitor rules are associated to a set of actions, triggered by the deviations from the expected behaviour, to compensate for an unexpected conduct. Such a reactive strategy, based on pre-defined rules, is not really suitable in dynamic systems where the time require to perform a modification is critical. In this work, we present MORPED, a framework for run-time monitoring and adaptation of Service-based Systems that supports i) the automatic generation of user context-based monitor rules, capable of predicting forthcoming deviations in the system with respect to the user context and ii) the adaptation of the system, based on a proactive service discovery, to compensate the foreseen deviations.

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Section: B Service Discoverymentioning

confidence: 99%

Section: B Service Discoverymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MORPED: Monitor rules for proactive error detection based on run-time and historical data

Contreras

Mahbub

2014

The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)

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“…There are various methods to identify the semantic similarity between the Web service interfaces [32,33,30,[34][35][36]. Natallia [30] provides a detailed survey on different approaches to compute similarity between Web service interfaces.…”

Section: Related Workmentioning

confidence: 99%

An approach for mining service composition patterns from execution logs

Upadhyaya

Tang

Zou

2012

J Software Evolu Process

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A service‐oriented application is composed of multiple Web services to fulfill complex functionality that cannot be provided by individual Web service. The combination of services is not random. In many cases, a set of services are repetitively used together in various applications. We treat such a set of services as a service composition pattern. The quality of the patterns is desirable because of the extensive uses and testing in the large number of applications. Therefore, the service composition patterns record the best practices in designing and developing reliable service‐oriented applications. The execution log tracks the execution of services in a service‐oriented application. To document the service composition patterns, we propose an approach that automatically identifies service composition patterns from various applications using execution logs. We locate a set of associated services using Apriori algorithm and recover the control flows among the services by analyzing the order of service invocation events in the execution logs. We also identify structurally and functionally similar patterns to represent such patterns in a higher level of abstraction regardless of the actual services. A case study shows that our approach can effectively detect service composition patterns. Copyright © 2012 John Wiley & Sons, Ltd.

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“…The work presented in this paper has been carried out as part of a European research project focusing on the development of service based grid applications (GREDIA [19]) and is based on scenarios identified in different industrial domains including media and banking. Previous work on our runtime discovery framework has been presented in [14] [32] [49][61] [62]. The new version of the runtime framework presented in this paper incorporates two main extensions.…”

Section: Introductionmentioning

confidence: 99%

Proactive and Reactive Runtime Service Discovery: A Framework and Its Evaluation

Zisman

Spanoudakis

Dooley

et al. 2013

IIEEE Trans. Software Eng.

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The identification of services during the execution of service-based applications to replace services in them that are no longer available and/or fail to satisfy certain requirements is an important issue. In this paper we present a framework to support runtime service discovery. This framework can execute service discovery queries in pull and push mode. In pull mode, it executes queries when a need for finding a replacement service arises. In push mode, queries are subscribed to the framework to be executed proactively, and in parallel with the operation of the application, in order to identify adequate services that could be used if the need for replacing a service arises. Hence, the proactive (push) mode of query execution makes it more likely to avoid interruptions in the operation of service-based applications when a service in them needs to be replaced at runtime. In both modes of query execution, the identification of services relies on distance-based matching of structural, behavioural, quality, and contextual characteristics of services and applications. A prototype implementation of the framework has been developed and an evaluation was carried out to assess the performance of the framework. This evaluation has shown positive results, which are discussed in the paper.

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A monitoring approach for runtime service discovery

Cited by 11 publications

References 52 publications

MORPED: Monitor rules for proactive error detection based on run-time and historical data

MORPED: Monitor rules for proactive error detection based on run-time and historical data

An approach for mining service composition patterns from execution logs

Proactive and Reactive Runtime Service Discovery: A Framework and Its Evaluation

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