Introducing robust and private computation into grid technology

2005 ◽  
Author(s):  
R. Endsuleit ◽  
J. Calmet
Keyword(s):  
Grid Technology ◽  
Private Computation

scholarly journals Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mohamed Massaoudi ◽  
Haitham Abu-Rub ◽  
Shady S. Refaat ◽  
Ines Chihi ◽  
Fakhreddine S. Oueslati
Keyword(s):  
Deep Learning ◽  
Smart Grid ◽  
Grid Technology ◽  
Future Prospects ◽  
Smart Grid Technology

scholarly journals ZEXE: Enabling Decentralized Private Computation

2020 ◽  
Author(s):  
Sean Bowe ◽  
Alessandro Chiesa ◽  
Matthew Green ◽  
Ian Miers ◽  
Pratyush Mishra ◽  
...  
Keyword(s):  
Private Computation

CSP-Driven Schedule Optimization in NC Equipments Grid Considering Complex Correlated Process Flows

2010 ◽  
Vol 97-101 ◽  
pp. 2650-2653
Author(s):  
Xin Lin ◽  
Ya Bo Luo
Keyword(s):  
Boundary Conditions ◽  
Numerical Control ◽  
Just In Time ◽  
Grid Technology ◽  
Np Hard ◽  
Potential Approach ◽  
Schedule Optimization ◽  
Grid Workflow ◽  
Optimum Solution

Numerical Control (NC) equipments sharing over Internet is a potential approach for improving the utilization of capacity, which is still a complex NP hard difficulty due to the complexity of schedule. This research takes the Constraints Satisfied Problem (CSP) thinking to solve the above problem employing grid technology. First, regarding the NC equipments sharing as CSP, the CSP model for NC equipments grid is developed taking the flexible constraints as the optimum objective and the rigid constraints as the boundary conditions. Second, the detailed algorithm and steps for optimization of NC equipments grid workflow based on Just-In-Time (JIT) thinking are proposed. Finally the digital experiment demonstrates the advantages of the CSP-driven methodology that has the higher efficiency for searching optimum solution.

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