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Titlebook: Web Services – ICWS 2021; 28th International C Chengzhong Xu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 Springer Nature Switzerl

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發(fā)表于 2025-3-21 20:05:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Web Services – ICWS 2021
副標(biāo)題28th International C
編輯Chengzhong Xu,Yunni Xia,Liang-Jie Zhang
視頻videohttp://file.papertrans.cn/1022/1021625/1021625.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web Services – ICWS 2021; 28th International C Chengzhong Xu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 Springer Nature Switzerl
描述This book constitutes the proceedings of the 28.th. International Conference on Web Services, ICWS 2021, held virtually as part of SCF 2021, during December 10-14, 2021.. The 7 full papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover aspects of services computing and applications. Centered around services computing, it covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications..
出版日期Conference proceedings 2022
關(guān)鍵詞bandwidth; cloud computing; communication; computer networks; computer science; computer systems; data com
版次1
doihttps://doi.org/10.1007/978-3-030-96140-4
isbn_softcover978-3-030-96139-8
isbn_ebook978-3-030-96140-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

書目名稱Web Services – ICWS 2021影響因子(影響力)




書目名稱Web Services – ICWS 2021影響因子(影響力)學(xué)科排名




書目名稱Web Services – ICWS 2021網(wǎng)絡(luò)公開度




書目名稱Web Services – ICWS 2021網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web Services – ICWS 2021被引頻次




書目名稱Web Services – ICWS 2021被引頻次學(xué)科排名




書目名稱Web Services – ICWS 2021年度引用




書目名稱Web Services – ICWS 2021年度引用學(xué)科排名




書目名稱Web Services – ICWS 2021讀者反饋




書目名稱Web Services – ICWS 2021讀者反饋學(xué)科排名




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Cloud-WSDL: Making WSDL Suitable for Cloud Computing,oaches remain inappropriate for cloud computing since: 1) they lack in a way or another semantic or business aspect, 2) they cannot fully cope with non-functional properties, 3) they are unable to cover all kinds of services (such as SaaS, PaaS, IaaS). Despite the existence of several attempts which
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A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment,reat practical value. With the increasing popularity of the edge computing paradigm, a large number of web services with similar functions have been created and deployed. Aiming at efficient and trustworthy composition of edge services, we proposed a novel fault-tolerant approach (FTSC) for edge ser
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,A Novel High-Order Cluster-GCN-Based Approach for?Service Recommendation,lutional Network (GCN). However, the performance of GCN will deteriorate when stacking more layers, namely, over-smoothing problem. Though LightGCN and LR-GCN can alleviate over-smoothing and achieve state-of-the-art performance, all users with dissimilar preferences become similar and the services
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Queueing Theory over OpenvSwitch: Performance Analysis and Optimization, control principle leads to various known performance issues on the data plane, e.g., a mismatch packet on the data plane will ask the control plane how to forward this packet, resulting in extra packet processing delay. In this paper, we take OpenvSwitch (OVS) as an example to investigate the perfo
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Queueing Theory over OpenvSwitch: Performance Analysis and Optimization, control principle leads to various known performance issues on the data plane, e.g., a mismatch packet on the data plane will ask the control plane how to forward this packet, resulting in extra packet processing delay. In this paper, we take OpenvSwitch (OVS) as an example to investigate the perfo
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Linked Data Quality Assessment: A Survey,lable on the web. However, it is difficult to understand how well the linked data fits into the modeling tasks due to the defects present in the data. Faults emerged in the linked data, spreading far and wide, affecting all the services designed for it. Addressing linked data quality deficiencies re
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