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Titlebook: Service-Oriented Computing; 18th International C Eleanna Kafeza,Boualem Benatallah,Hamid Motahari Conference proceedings 2020 Springer Natu

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书目名称Service-Oriented Computing
副标题18th International C
编辑Eleanna Kafeza,Boualem Benatallah,Hamid Motahari
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Service-Oriented Computing; 18th International C Eleanna Kafeza,Boualem Benatallah,Hamid Motahari Conference proceedings 2020 Springer Natu
描述.This book constitutes the proceedings of the 18.th. International Conference on Service-Oriented Computing, ICSOC 2020, which was planned to take place in Dubai, UAE, during December 14-17, 2020. Due to the COVID-19 pandemic the conference was held online. ..The 23 full, 16 short, and 3 industry papers included in this volume were carefully reviewed and selected from 137 submissions. They were organized in topical sections named: microservices; Internet of Things; services at the edge; machine learning for service oriented computing; smart data and smart services; service oriented technology trends; industry papers. .
出版日期Conference proceedings 2020
关键词architecture types; blockchain technologies; communication systems; computer networks; computer systems;
版次1
doihttps://doi.org/10.1007/978-3-030-65310-1
isbn_softcover978-3-030-65309-5
isbn_ebook978-3-030-65310-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

书目名称Service-Oriented Computing影响因子(影响力)




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书目名称Service-Oriented Computing网络公开度




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书目名称Service-Oriented Computing读者反馈学科排名




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On Discovering Data Preparation Modules Using Examplesputs and outputs of modules together with data examples that characterize modules’ behavior as ingredients for the discovery of data preparation modules. The discovery strategy that we devised is iterative in that it allows scientists to explore existing modules by providing feedback on data examples.
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Fast Replica of Polyglot Persistence in Microservice Architectures for Fog Computingen microservices are adopted, and to present a solution which combines the advantages of the physical copy approach performed by network file systems to provide a fast data movement and the ability of the logical copy approach to transform the data. The resulting mix is demonstrated to reduce the time of creating the replica up to 70%.
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Accelerate Personalized IoT Service Provision by Cloud-Aided Edge Reinforcement Learning: A Case Stun model. We take the personalized service provision in a smart lighting system as an example, design and implement the related deep reinforcement learning model, and take experiments based on the data generated on the open software DAILux to show our approach’s effectiveness and performance.
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