scholarly journals Earth science test suites to evaluate grid tools and middleware—examples for grid data access tools

2009 ◽  
Vol 2 (1-2) ◽  
pp. 117-131 ◽  
Author(s):  
W. J. Som de Cerff ◽  
M. Petitdidier ◽  
A. Gemünd ◽  
L. Horstink ◽  
H. Schwichtenberg
Keyword(s):  
Earth Science ◽  
Data Access ◽  
Grid Data ◽  
Science Test ◽  
Test Suites

scholarly journals Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

2020 ◽  
Vol 10 (3) ◽  
pp. 856 ◽  
Author(s):  
José R. R. Viqueira ◽  
Sebastián Villarroya ◽  
David Mera ◽  
José A. Taboada
Keyword(s):  
Scientific Community ◽  
Earth Science ◽  
Scientific Information ◽  
Open Data ◽  
Data Access ◽  
Data Representation ◽  
Environmental Data ◽  
Science Data ◽  
Data Infrastructures ◽  
Earth Science Data

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.

scholarly journals Grid data access on widely distributed worker nodes using scalla and SRM

2008 ◽  
Vol 119 (7) ◽  
pp. 072019 ◽  
Author(s):  
P Jakl ◽  
J Lauret ◽  
A Hanushevsky ◽  
A Shoshani ◽  
A Sim ◽  
...  
Keyword(s):  
Data Access ◽  
Grid Data

An Efficient Grid Data Access with StoRM

2011 ◽  
pp. 239-250 ◽  
Author(s):  
Riccardo Zappi ◽  
Elisabetta Ronchieri ◽  
Alberto Forti ◽  
Antonia Ghiselli
Keyword(s):  
Data Access ◽  
Grid Data

scholarly journals A Scalable proxy cache for Grid Data Access

2012 ◽  
Vol 396 (3) ◽  
pp. 032027 ◽  
Author(s):  
Traian Cristian Cirstea ◽  
Jan Just Keijser ◽  
Oscar Arthur Koeroo ◽  
Ronald Starink ◽  
Jeffrey Alan Templon
Keyword(s):  
Data Access ◽  
Grid Data ◽  
Proxy Cache

Secure Data Access Control with Fair Accountability in Smart Grid Data Sharing: An Edge Blockchain Approach

2020 ◽  
pp. 1-1
Author(s):  
Wenti Yang ◽  
Zhitao Guan ◽  
Longfei Wu ◽  
Xiaojiang Du ◽  
Mohsen Guizani
Keyword(s):  
Access Control ◽  
Smart Grid ◽  
Data Sharing ◽  
Data Access ◽  
Grid Data ◽  
Data Access Control ◽  
Secure Data

Scavenger Hunt: Middle School Earth Science “Test”

1997 ◽  
Vol 33 (4) ◽  
pp. 18-21
Author(s):  
Katharine D. Owens ◽  
Richard L. Sanders
Keyword(s):  
Middle School ◽  
Earth Science ◽  
Science Test

scholarly journals Optimal Deception Strategies in Power System Fortification against Deliberate Attacks

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 342 ◽  
Author(s):  
Peng Jiang ◽  
Shengjun Huang ◽  
Tao Zhang
Keyword(s):  
Power System ◽  
Critical Infrastructure ◽  
Data Access ◽  
Mixed Integer ◽  
Electrical Network ◽  
Grid Data ◽  
Constraint Generation ◽  
Protection Strategies ◽  
The Difference ◽  
Bus System

As a critical infrastructure, the modern electrical network is faced with various types of threats, such as accidental natural disaster attacks and deliberate artificial attacks, thus the power system fortification has attracted great concerns in the community of academic, industry, and military. Nevertheless, the attacker is commonly assumed to be capable of accessing all information in the literature (e.g., network configuration and defensive plan are explicitly provided to the attacker), which might always be the truth since the grid data access permission is usually restricted. In this paper, the information asymmetry between defender and attacker is investigated, leading to an optimal deception strategy problem for power system fortification. Both the proposed deception and traditional protection strategies are formulated as a tri-level mixed-integer linear programming (MILP) problem and solved via two-stage robust optimization (RO) framework and the column-and-constraint generation (CCG) algorithm. Comprehensive case studies on the 6-bus system and IEEE 57-bus system are implemented to reveal the difference between these two strategies and identify the significance of information deception. Numerical results indicate that deception strategy is superior to protection strategy. In addition, detailed discussions on the performance evaluation and convergence analysis are presented as well.

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