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

FAD

书目名称Economics of Grids, Clouds, Systems, and Services影响因子(影响力)




书目名称Economics of Grids, Clouds, Systems, and Services影响因子(影响力)学科排名




书目名称Economics of Grids, Clouds, Systems, and Services网络公开度




书目名称Economics of Grids, Clouds, Systems, and Services网络公开度学科排名




书目名称Economics of Grids, Clouds, Systems, and Services被引频次




书目名称Economics of Grids, Clouds, Systems, and Services被引频次学科排名




书目名称Economics of Grids, Clouds, Systems, and Services年度引用




书目名称Economics of Grids, Clouds, Systems, and Services年度引用学科排名




书目名称Economics of Grids, Clouds, Systems, and Services读者反馈




书目名称Economics of Grids, Clouds, Systems, and Services读者反馈学科排名

松果

Automatic Q.A-Pair Generation for Incident Tickets Handling: An Application of NLP Q.A. pair generation and maintenance become very ex-pensive and complicated. To reduce cost and increase efficiency, in this study, we propose a low threshold QA-pair generation system that can automatically identify unique problems and their solutions from a large incident ticket dataset of an I.T

THE

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

纵欲

Delivering Privacy-Friendly Location-Based Advertising Over Smartwatches: Effect of Virtual User Intrtising messages. However, perceived privacy risk and a lack of privacy control are preventing consumers from using location-based advertising (LBA). This study explores how variation in the design of the user interfaces of smartwatches (regular user interface vs. virtual user interface) affects the

法官

哀求

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

哀求

conception

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

dearth

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

地名词典

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