QoS Aggregation Evaluation of Web Services Composition with Transaction

Mei, Xiaoyong; Zheng, Fudan; Jiang, Aijun; Li, Shixian

doi:10.1109/itcs.2009.171

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Step 5: Evaluate the vibration intensity value by update the original SSO equation (17) to calculate as following:…”

Section: Proposed Modelmentioning

confidence: 99%

An Efficient QoS-aware Services Selection in IoT using A Reputation Improved- Social Spider Optimization Algorithm

Abo-Saif

Elrofai

2020

Preprint

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Internet of Things (IoT) has been grown rapidly over the last years to connect a considerable number of spatially distributed objects or actuators. The connected objects create new functionality and provide various services to enhance and satisfy End-users daily lives. The issue is to provide the End-users with optimal services based on their requirements. The critical challenge is to select the optimal service from similar services functionally and various services non-functionality requirements (Quality of services). To achieve this challenge, this paper proposed a services selection model under QoS constraints in the IoT environment. The introduced model implements a meta-heuristic optimization algorithm with a friendly Likert scale measurement method. It aims to improve the performance of bio-inspired optimizing algorithms, called a Social Spider Optimization (SSO) Algorithm, by adding a reputation value to member's weight. The proposed model used a Likert scale measurement to evaluate the reputation of the services from the End-users. In the experiments, a comparative study was done between an original SSO and the proposed RI-SSO model. The results show the efficiency of the proposed RI-SSO model against the original SSO, in both maximization and minimization problems. It obtains a better outperform in terms of fitness values.

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“…Step 5: Evaluate the vibration intensity value by update the original SSO equation (17) to calculate as following:…”

Section: Proposed Modelmentioning

confidence: 99%

An Efficient QoS-aware Services Selection in IoT using A Reputation Improved- Social Spider Optimization Algorithm

Abo-Saif

Elrofai

2020

Preprint

View full text Add to dashboard Buy / Rent full text

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“…Availability: Service availability objective was adopted in this design. The availability was the multiplication of all service components organized for a service request [40]. The equation is defined as follows:…”

Section: Comparison Of Algorithmsmentioning

confidence: 99%

Optimizing Medical Data Quality Based on Multiagent Web Service Framework

Khoury

Shah

2012

IEEE Trans. Inform. Technol. Biomed.

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One of the most important issues in e-healthcare information systems is to optimize the medical data quality extracted from distributed and heterogeneous environments, which can extremely improve diagnostic and treatment decision making. This paper proposes a multiagent web service framework based on service-oriented architecture for the optimization of medical data quality in the e-healthcare information system. Based on the design of the multiagent web service framework, an evolutionary algorithm (EA) for the dynamic optimization of the medical data quality is proposed. The framework consists of two main components; first, an EA will be used to dynamically optimize the composition of medical processes into optimal task sequence according to specific quality attributes. Second, a multiagent framework will be proposed to discover, monitor, and report any inconstancy between the optimized task sequence and the actual medical records. To demonstrate the proposed framework, experimental results for a breast cancer case study are provided. Furthermore, to show the unique performance of our algorithm, a comparison with other works in the literature review will be presented.

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QoS Aggregation Evaluation of Web Services Composition with Transaction

Cited by 6 publications

References 8 publications

An Efficient QoS-aware Services Selection in IoT using A Reputation Improved- Social Spider Optimization Algorithm

An Efficient QoS-aware Services Selection in IoT using A Reputation Improved- Social Spider Optimization Algorithm

Optimizing Medical Data Quality Based on Multiagent Web Service Framework

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