Modeling QoS Attributes and Metrics for Evaluating Services in SOA Considering Consumers' Perspective as the First Class Requirement

Choi, Si Won; Her, Jin Sun; Kim, Soo Dong

doi:10.1109/apscc.2007.72

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…In [6] and [7], some metrics have been proposed to measure performance and availability which are not applicable at the modeling phase and should be only used at the implementation level. Also, there exist a number of researches proposing metrics to measure some other quality attributes like coupling, cohesion and complexity; however, considering their limited view, these researches are useless for comprehensive service evaluation.…”

Section: Related Workmentioning

confidence: 99%

“…o between 0 and 1. ric) of a service is operations of that (6) er of operations of e time of making a be divided up into together within a utonomy has been re, including selfning, all of which rder to perform its on other service ility and stateless SOA [8]. These Considering the definitio previous sections, autonomy is A service is autonomous if and delete its internal BEs wit services.…”

Section: Autonomymentioning

confidence: 99%

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A metric suite for measuring service alignment with business agility

Rostampour

Kazemi

Zamiri

et al. 2011

2011 CSI International Symposium on Computer Science and Software Engineering (CSSE)

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Today enterprises are facing rapid and radical changes in business environments, making business agility a crucial step toward gaining competitive advantages over rivals. Serviceoriented architectures (SOA) are touted as the key to business agility. However to deliver business agility with SOA effectively, business services should be designed according to SOA principles that affect business agility, including autonomy, cohesion and structural complexity. In this paper we propose a set of metrics to measure service accordance with these principles. A controlled case study is also provided to validate the applicability and correctness of the proposed metrics.

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Section: Related Workmentioning

confidence: 99%

Section: Autonomymentioning

confidence: 99%

A metric suite for measuring service alignment with business agility

Rostampour

Kazemi

Zamiri

et al. 2011

2011 CSI International Symposium on Computer Science and Software Engineering (CSSE)

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“…Adaptability [7] For the services to be reused widely in SOA, information resource should be adaptable to different users' requirements and operating environments.…”

Section: A Qos Attributes Of Information Resourcementioning

confidence: 99%

A user-oriented approach for selecting information resource service

Tang

2010

2010 2nd IEEE International Conference on Information Management and Engineering

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Information service usersQoS attributes definition metrics for QoS attributes QoS information acquisitionQoS attributes evaluation information service source information service providers Abstract-Based on the study of QoS on information resources service, we bring forward a user-oriented approach for selecting information resource service. With this approach, users could measure and evaluate the QoS of information resource services; the contribution of this approach could improve the service of information resource as well as promote the utility of information resource.

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“…These include throughput, availability and reliability. To evaluate these QoS attributes, we adopt existing QoS metrics and quality evaluation framework of [13], [17], [1], and [9]. For example, we can evaluate availability by measuring Availability of Web Service (AWS) in [17].…”

Section: B Trust Evaluationmentioning

confidence: 99%

Quantitative Trust Management to Support QoS-Aware Service Selection in Service-Oriented Environments

Kim¹,

Doh²

2013

2013 International Conference on Parallel and Distributed Systems

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Owing to the black-box nature of services, selecting a trustworthy service that best fits users' requirements is greatly critical in service-oriented computing. Once a set of services fulfilling users' functional requirements are founded, one of these services invoked by the users depends mostly on the Quality of Services (QoS), particularly security, trust, and reputation. This paper proposes a trust management model to support service discovery and selection based on QoS. We define a quantitative trust evaluating method for dynamic service discovery and selection. The proposed model makes service consumers get trustworthy services possible. Our mechanism uses consumers' feedback to describe the trust degree of services and service providers. The service selection using the quantitative measurement rather than consumers' intuition allows selecting a highly reliable service accomplishing their quality requirements well. Finally, we give experimental results.

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Modeling QoS Attributes and Metrics for Evaluating Services in SOA Considering Consumers' Perspective as the First Class Requirement

Cited by 22 publications

References 3 publications

A metric suite for measuring service alignment with business agility

A metric suite for measuring service alignment with business agility

A user-oriented approach for selecting information resource service

Quantitative Trust Management to Support QoS-Aware Service Selection in Service-Oriented Environments

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