Research on Context-based Instances Selection of Microservice

The1 deployment environment and execution conditions of microservices and Web services are different. Web service selection needs to consider aspects of QoS such as reliability, availability, and response time. Microservices not only need to consider QoS attribute information, but also consider the server's load and other aspects. Compared to papers with fixed weight information, this paper uses the information in historical context database to dynamically determine the weight of each contextual information. The algorithm of context-based instances selection of microservice named ACISM is proposed. ACISM uses the dynamically acquired weight information to obtain result and uses the result to select the microservice instance. This can weaken the decisiveness of user's subjective selection by using the dynamical weight information. ACISM balances the influence of subjective and objective factors and can improve the accuracy of microservice instances selection and shorten the response time.

[1]  MengChu Zhou,et al.  A Transaction and QoS-Aware Service Selection Approach Based on Genetic Algorithm , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  San-Yih Hwang,et al.  Service Selection for Web Services with Probabilistic QoS , 2015, IEEE Transactions on Services Computing.

[3]  Bo Yuan,et al.  Context-Aware Service Discovery and Selection in Decentralized Environments , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

[4]  Panlong Yang,et al.  QoS-based service selection with lightweight description for large-scale service-oriented internet of things , 2015 .

[5]  Rina Novogrudska,et al.  Web-services Selection based on fuzzy preference relations , 2017, 2017 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).

[6]  Tongguang Zhang.  QoS-aware Web Service Selection based on Particle Swarm Optimization , 2014, J. Networks.

[7]  Zhang Ya-hon.  Web Service Selection Method Based on Runtime Verification , 2014 .

[8]  Chen Fang,et al.  基于动态QoS的Web服务选取方法 (Web Service Selection Method Based on Dynamic QoS) , 2017, 计算机科学.

[9]  Junhao Wen,et al.  A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side , 2017, IEEE Transactions on Network and Service Management.