An Adaptive Service-Oriented Architecture

Hiel, Marcel; Weigand, Hans; Heuvel, Willem‐Jan van den

doi:10.1007/978-1-84800-221-0_16

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…In a similar way, the SOA has inspired the design of service systems [15,16]. In particular, the authors in [17] propose an Adaptive Service-Oriented Architecture (ASOA) in order to reduce the load of the service broker and enhance the efficiency of service production. This approach explicitly captures adaptive behaviors and relieves the load of the service broker through the introduction of the management layer between service customers or service providers and the service broker.…”

Section: Service Systems As Information Systemsmentioning

confidence: 98%

A generic service system for knowledge-intensive service firms

Peng

Badr

Biennier

2009

Proceedings of the International Conference on Management of Emergent Digital EcoSystems

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Service systems are highly complex and often difficult to study, design and implement given their socio-technical-organisational nature. This complexity leads to a poor understanding as to how service systems can be innovative and competitive. Within the service sector, Knowledge-Intensive Service firms compete by the skills and knowledge of their employees to deliver online business services. However, current service systems for KnowledgeIntensive Service firms are either too static to describe the dynamic mechanism, or too visionary to use in real world applications, which makes activities such as designing, developing, and evolving adaptive service applications unpractical. In this paper, we present a generic service system architecture describing service characteristics with descriptors such as customer-centric, knowledge-driven, reusability, safeguards, interoperability, and Internet delivery channels. Finally, we propose an implementation framework to achieve secure and adaptive service delivery and a service life cycle describing the service production process.

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Section: Service Systems As Information Systemsmentioning

confidence: 98%

A generic service system for knowledge-intensive service firms

Peng

Badr

Biennier

2009

Proceedings of the International Conference on Management of Emergent Digital EcoSystems

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“…For example, a service client wants to use a service provided by another organization and they agree to adhere to a regulation of the International Chamber of Commerce (ICC). It can be assumed that the contract negotiations between services are conducted by the service manager [22]. When the service manager commits to a contract, this contract will govern the service interaction (a basic rule to this effect is part of the service policy).…”

Section: Service Policy Compliance In Soamentioning

confidence: 99%

“…In the ASOA framework [22], service management is made explicit. It is the basis for a fundamental distinction between operational services and service managers.…”

Section: Adaptive Soamentioning

confidence: 99%

Business policy compliance in service-oriented systems

Weigand

Heuvel

Hiel

2011

Information Systems

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“…The system makes use of a configurable composition model which provides abstractions for service context and exceptions, and of an execution model based on control tuples, favoring robust and adaptive service execution. Another approach to composition adaptability at the architectural level is taken in [27] which introduces Adaptive Service Oriented Architecture (ASOA). ASOA merges the autonomic computing with SOA.…”

Section: Related Workmentioning

confidence: 99%

Runtime Adaptability driven by Negotiable Quality Requirements

Mosincat

2011

Preprint

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Two of the common features of business and the web are diversity and dynamism. Diversity results in users having different preferences for the quality requirements of a system. Diversity also makes possible alternative implementations for functional requirements, called variants, each of them providing different quality. The quality provided by the system may vary due to different variant components and changes in the environment. The challenge is to dynamically adapt to quality variations and to find the variant that best fulfills the multi-criteria quality requirements driven by user preferences and current runtime conditions. For service-oriented systems this challenge is augmented by their distributed nature and lack of control over the constituent services and their provided quality of service (QoS). We propose a novel approach to runtime adaptability that detects QoS changes, updates the system model with runtime information, and uses the model to select the variant to execute at runtime. We introduce negotiable maintenance goals to express user quality preferences in the requirements model and automatically interpret them quantitatively for system execution. Our lightweight selection strategy selects the variant that best fulfills the user required multi-criteria QoS based on updated QoS values.

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An Adaptive Service-Oriented Architecture

Cited by 6 publications

References 3 publications

A generic service system for knowledge-intensive service firms

A generic service system for knowledge-intensive service firms

Business policy compliance in service-oriented systems

Runtime Adaptability driven by Negotiable Quality Requirements

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