Road to Strengthen of Virtual Infrastructure and Security of Remote  Laboratories on Trnava University in Trnava

Many organizations, both large and small, are investigating the potential of storage architectures for their companies. Few years ago, we built our own virtualized cloud for REMLABNET and we still are taking benefits of this decision. This item handels with using Cloud computing platform for providing Remote laboratories. This work shows, how it is possible to save money if we use centralized system for more consumers. Every consumer can use access to centralized portal in the Cloud computing from Consortium REMLABNET. Every item is focused on enviroments of universities, where this cloud is existing and this is what we want to use for remote labs. This is item from practice knowledge and experiences about system function and managing virtual platform and next construction this proposal.

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Optimization of the Cloud for Setup of Hardware of Remote Laboratories

International Journal of Online and Biomedical Engineering (iJOE) ◽

10.3991/ijoe.v16i12.16699 ◽

2020 ◽

Vol 16 (12) ◽

pp. 18

Author(s):

Pavel Beňo ◽

František Schauer ◽

Sandra Šprinková ◽

Tomáš Komenda

Keyword(s):

Cloud Computing ◽

System Function ◽

Computing Platform ◽

Remote Laboratories ◽

Remote Labs ◽

Cloud Computing Platform ◽

Practice Knowledge ◽

Virtual Platform ◽

Centralized System

Few years ago, we built our own virtualized cloud for REMLABNET and we still are taking benefits of this decision. This item handels with using Cloud computing platform for providing Remote laboratories. This work shows, how it is possible to save money if we use centralized system for more consumers. Every consumer can use access to centralized portal in the Cloud computing from Consortium REMLABNET. Every item is focused on enviroments of universities, where this cloud is existing and this is what we want to use for remote labs. This is item from practice knowledge and experiences about system function and managing virtual platform and next construction and optimization this proposal.

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Power Management of Virtualized Cloud Computing Platform

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2012.01262 ◽

2012 ◽

Vol 35 (6) ◽

pp. 1262 ◽

Cited By ~ 28

Author(s):

Ke-Jiang YE ◽

Zhao-Hui WU ◽

Xiao-Hong JIANG ◽

Qin-Ming HE

Keyword(s):

Cloud Computing ◽

Power Management ◽

Computing Platform ◽

Cloud Computing Platform

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Short-term Power Load Forecasting Based on Gate Recurrent Unit Network and Cloud Computing Platform

Proceedings of the 4th International Conference on Computer Science and Application Engineering ◽

10.1145/3424978.3425007 ◽

2020 ◽

Author(s):

Xiaohua Li ◽

Weijin Zhuang ◽

Hong Zhang

Keyword(s):

Cloud Computing ◽

Load Forecasting ◽

Short Term ◽

Computing Platform ◽

Power Load ◽

Power Load Forecasting ◽

Cloud Computing Platform ◽

Unit Network

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Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

ACM Transactions on Software Engineering and Methodology ◽

10.1145/3385187 ◽

2020 ◽

Vol 29 (2) ◽

pp. 1-24

Author(s):

Yangguang Li ◽

Zhen Ming (Jack) Jiang ◽

Heng Li ◽

Ahmed E. Hassan ◽

Cheng He ◽

...

Keyword(s):

Cloud Computing ◽

Large Scale ◽

Computing Platform ◽

Cloud Computing Platform ◽

Node Failures

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Anomaly detection method of power dispatching data based on cloud computing platform

2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) ◽

10.1109/icbase51474.2020.00012 ◽

2020 ◽

Author(s):

Lu Jie ◽

Liu Xiangxiang ◽

Li Haoxiang

Keyword(s):

Cloud Computing ◽

Anomaly Detection ◽

Detection Method ◽

Computing Platform ◽

Cloud Computing Platform ◽

Power Dispatching

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Simulation of enterprise accounting information system based on improved neural network and cloud computing platform

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-021-03067-2 ◽

2021 ◽

Author(s):

Jing Li

Keyword(s):

Neural Network ◽

Cloud Computing ◽

Information System ◽

Accounting Information ◽

Accounting Information System ◽

Computing Platform ◽

Cloud Computing Platform

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In defense of decentralized research data management

Neuroforum ◽

10.1515/nf-2020-0037 ◽

2021 ◽

Vol 0 (0) ◽

Cited By ~ 1

Author(s):

Michael Hanke ◽

Franco Pestilli ◽

Adina S. Wagner ◽

Christopher J. Markiewicz ◽

Jean-Baptiste Poline ◽

...

Keyword(s):

Cloud Computing ◽

Data Management ◽

Research Data ◽

Data Archive ◽

Individual Scientist ◽

Computing Platform ◽

Research Data Management ◽

Cloud Computing Platform ◽

Research Objects ◽

Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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