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Titlebook: Cloud Computing and Services Science; 10th International C Donald Ferguson,Claus Pahl,Markus Helfert Conference proceedings 2021 Springer N

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發(fā)表于 2025-3-21 17:49:17 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Cloud Computing and Services Science
副標題10th International C
編輯Donald Ferguson,Claus Pahl,Markus Helfert
視頻videohttp://file.papertrans.cn/229/228440/228440.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Cloud Computing and Services Science; 10th International C Donald Ferguson,Claus Pahl,Markus Helfert Conference proceedings 2021 Springer N
描述This book constitutes extended, revised and selected papers from the 10.th.?International Conference on Cloud Computing and Services Science, CLOSER 2020, held in Prague, Czech Republic, in May 2020. Due to the COVID-19 pandemic the conference was held in a virtual format..The 14 papers presented in this volume were carefully reviewed and selected from a total of 69 submissions. CLOSER 2020 focuses on the emerging area of cloud computing, inspired by some latest advances that concern the infrastructure, operations, and available servicesthrough the global network..
出版日期Conference proceedings 2021
關鍵詞artificial intelligence; cloud computing; communication systems; computer hardware; computer networks; co
版次1
doihttps://doi.org/10.1007/978-3-030-72369-9
isbn_softcover978-3-030-72368-2
isbn_ebook978-3-030-72369-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective,e fundamentals about programming quantum computers and show that quantum programs are typically hybrid consisting of a mixture of classical parts and quantum parts. With the advent of quantum computers in the cloud, the cloud is a fine environment for performing quantum programs. The tool chain avai
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Cloud Computing for Enabling Big Data Analysis,e effectively exploited for extracting valuable information concerning human dynamics and behaviors. Such data, commonly referred as Big Data, contains rich information about user activities, interests, and behaviors, which makes it intrinsically suited to a very large set of applications. For getti
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Live Migration Timing Optimization Integration with VMware Environments, migrated from a physical machine to another with negligible service interruption. Load balance, power saving, dynamic resource allocation, and high availability algorithms in virtual data-centers and cloud computing environments are dependent on live migration. Live migration process has six phases
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發(fā)表于 2025-3-22 17:55:18 | 只看該作者
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions, propose a technique, based on Self-Organizing Maps, to address such problem by leveraging on the massive amount of historical system data that is typically available in these infrastructures. Indeed, our method consists of a joint analysis of system-level metrics, provided by the virtualized infras
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From DevOps to NoOps: Is It Worth It?,nd their deployment using containerization, DevOps were in demand for handling the development and operations together. However, nowadays serverless computing offers a new way of developing and deploying cloud-native applications. Serverless computing also called NoOps, offloads management and serve
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