Services Computing – SCC 2020 de Qingyang Wang

Services Computing – SCC 2020: 17th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18–20, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12409

Qingyang Wang

Yunni Xia

Sangeetha Seshadri

Liang-Jie Zhang

en Limba Engleză Paperback – 13 sep 2020

This volume constitutes the proceedings of the 17th International Conference on Services Computing 2020, held as Part of SCF 2020 in Honolulu, HI, USA in September 2020..
The 8 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 20 submissions. They cover topics such as: foundations of services computing; scientific workflows; business process integration and management; microservices; modeling of services systems; service security and privacy; SOA service applications; and service lifecycle management.

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Specificații

ISBN-13: 9783030595913
ISBN-10: 3030595919
Pagini: 100
Ilustrații: XIV, 155 p. 54 illus., 36 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering

Locul publicării:Cham, Switzerland

Cuprins

QoS Time Series Modeling and Forecasting for Web Services: A Comprehensive Survey of Subsequent Applications and Experimental Configurations.- Web Service Composition by Optimizing Composition-Segment Candidates.-Collaborative Learning using LSTM-RNN for Personalized Recommendation.-An Attention Model for Mashup Tag Recommendation.-On the Diffusion and Impact of Code Smells in Web Applications.-Microservices Backlog - A model of granularity specification and microservice identification.-Automated Web Service Specification Generation through a Transformation-based Learning.-Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos.-Midiag: a Sequential Trace-based Fault Diagnosis Framework for Microservices.-An Empirical Study of Web API Quality Formulation.