Abstract

With the increasing growth of web services shared in various mobile edge platforms, it becomes necessary to evaluate all the candidates based on their quality of services to reduce the users’ service selection cost. However, the service quality data released by service providers cannot be simply deemed as trusted due to various subjective or objective reasons, which further produce a series of serious trust-aware service evaluation problems, including service quality data sparsity and lack of feedback incentive. In view of this, we summarize the challenging issues existing in the current research field of trusted mobile edge service evaluation. Afterward, we review the current research status of the trusted service evaluation in the mobile edge environment and discuss one of the typical application scenarios based on trusted service evaluation, that is, recommender systems, as well as their diverse categories. We believe this research could be helpful in assisting a mobile edge platform to build a trusted reputation system for various smart applications hosted in the mobile edge platform.

Highlights

  • With the increasing growth of web services shared in various mobile edge platforms, it becomes necessary to evaluate all the candidates based on their quality of services to reduce the users’ service selection cost

  • We review the current research status of the trusted service evaluation in the mobile edge environment and discuss one of the typical application scenarios based on trusted service evaluation, that is, recommender systems, as well as their diverse categories

  • We carry out the research of “trusted service selection based on historical invocation records in mobile edge environment” based on the previous achievements. e ultimate research goal is to provide real and reliable service quality reference data for mobile edge users’ web services selection and provide necessary theoretical and technical support for the development and maintenance of highly reliable network software platform when the QoS data released by the service provider is not credible

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Summary

Research Challenges

In a mobile edge computing environment, users tend to leave a record after invoking the web service, such as subjective user rating (e.g., common rating of “1 star” to “5 stars”) or objective QoS records (the quality information of the web service in the execution of this invocation, e.g., a web service’s response time is 2 seconds). e invocation record more truly reflects the quality of web services in the past; it became one of the most credible bases for measuring the true quality of the web service in the mobile edge environment. Academia widely uses the historical invocation record of web services to evaluate the quality of service and select web services to overcome the defect of the unreliability of QoS data published by the service provider in traditional methods [15,16,17,18] This method of “web service selection based on historical invocation records in mobile edge environment” still faces many trust problems that need to be solved. Due to the sparsity of user ratings, the diversity of QoS records (e.g., diverse privacy requirements, diverse attribute associations, and diverse record forms), and the difference of invocation records, currently “the selection of web services based on historical invocation records in mobile edge environment” still faces many trust problems that need to be solved urgently. We carry out the research of “trusted service selection based on historical invocation records in mobile edge environment” based on the previous achievements. e ultimate research goal is to provide real and reliable service quality reference data for mobile edge users’ web services selection and provide necessary theoretical and technical support for the development and maintenance of highly reliable network software platform when the QoS data released by the service provider is not credible

Research Review
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