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Titlebook: Economics of Grids, Clouds, Systems, and Services; 17th International C Karim Djemame,J?rn Altmann,Bruno Tuffin Conference proceedings 2020

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發(fā)表于 2025-3-21 19:28:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Economics of Grids, Clouds, Systems, and Services
副標(biāo)題17th International C
編輯Karim Djemame,J?rn Altmann,Bruno Tuffin
視頻videohttp://file.papertrans.cn/302/301990/301990.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Economics of Grids, Clouds, Systems, and Services; 17th International C Karim Djemame,J?rn Altmann,Bruno Tuffin Conference proceedings 2020
描述This book constitutes the refereed proceedings of the 17th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2020, held in Izola, Slovenia, in September 2020. Due to COVID-19 pandemic the conference was held virtually by the University of Ljubljana.. The 11 full papers and 9 short papers presented in this book were carefully reviewed and selected ?from 40 submissions. The papers are structured in selected topics, namely: .Smartness in Distributed Systems; Decentralizing Clouds to Deliver Intelligence at the Edge; Digital Infrastructures for Pandemic Response and Countermeasures; Dependability and Sustainability; Economic Computing and Storage; .Poster Session..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bandwidth; cloud computing; communication systems; service level agreements; com
版次1
doihttps://doi.org/10.1007/978-3-030-63058-4
isbn_softcover978-3-030-63057-7
isbn_ebook978-3-030-63058-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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ProtectDDoS: A Platform for Trustworthy Offering and Recommendation of Protectionses, business owners must focus on investing in robust cybersecurity mechanisms to countermeasure cyberattacks. Distributed Denial-of-Service (DDoS) attacks remain one of the most dangerous cyberattacks, ., leading to service disruption, financial loss, and reputation harm. Although protection measur
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Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Mo resource usage. The present work aims to predict the resource usage of a machine learning application in an edge environment, utilizing Raspberry Pies. It investigates various experimental setups and machine learning methods that are acting as benchmarks, allowing us to compare the accuracy of each
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Distributed Cloud Intelligence: Implementing an ETSI MANO-Compliant Predictive Cloud Bursting Solutited upon when user-defined thresholds are exceeded. In this paper, we present an ETSI MANO compliant approach that performs proactive bursting of applications based on infrastructure and application metrics. The proposed solution implements Machine Learning (ML) techniques to realise a proactive off
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A MDE Approach for Modelling and Distributed Simulation of Health Systems mitigating the effects of the virus. Simulation methods have been widely used by healthcare researchers and practitioners to improve the planning and management of hospitals and predict the spread of disease. Simulating all involved aspects of an epidemic episode requires the modelling and simulati
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South Korea as the Role Model for Covid-19 Policies? An Analysis of the Effect of Government Policiese. Concerning the risks and the negative effects inflicted by the spread of the pandemic, many countries established a series of policies reinforcing public protection from the virus. With respect to these policies, this study characterizes the infection chain structure in Korea and identifies chan
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