Impact of Semantic Web and Cloud Computing Platform on Software Engineering

2013 ◽  
pp. 3-24 ◽  
Author(s):  
Radha Guha
Keyword(s):  
Cloud Computing ◽  
Software Engineering ◽  
Semantic Web ◽  
Computing Platform ◽  
Cloud Computing Platform

Integration of E-learning and Cloud Computing Platform Through Software Engineering

2015 ◽  
Vol 8 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Shadi Aljawarneh ◽  
Bassam Alshargabi ◽  
Sofyan Hayajneh ◽  
Ayad Imam
Keyword(s):  
Cloud Computing ◽  
Software Engineering ◽  
Computing Platform ◽  
E Learning ◽  
Cloud Computing Platform

Power Management of Virtualized Cloud Computing Platform

2012 ◽  
Vol 35 (6) ◽  
pp. 1262 ◽  
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

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

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

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
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.

SMOC: A secure mobile cloud computing platform

2015 ◽  
Author(s):  
Zijiang Hao ◽  
Yutao Tang ◽  
Yifan Zhang ◽  
Ed Novak ◽  
Nancy Carter ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Computing Platform ◽  
Cloud Computing Platform
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