An energy-efficient middleware for supporting multimedia services in mobile grid environments

2005 ◽  
Author(s):  
Y. Huang ◽  
S. Mohapatra ◽  
N. Venkatasubramanian
Keyword(s):  
Energy Efficient ◽  
Multimedia Services ◽  
Mobile Grid ◽  
Grid Environments

An Energy Efficient Authentication Scheme based on Chebyshev Chaotic Map for Smart Grid Environments

2021 ◽  
pp. 1-1
Author(s):  
Liping Zhang ◽  
Yue Zhu ◽  
Wei Ren ◽  
Yinghan Wang ◽  
Kim-Kwang Raymond Choo ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Efficient ◽  
Chaotic Map ◽  
Authentication Scheme ◽  
Chebyshev Chaotic Map ◽  
Grid Environments

scholarly journals Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments

2005 ◽  
pp. 275-278 ◽  
Author(s):  
Sangyoon Oh ◽  
Sangmi Lee Pallickara ◽  
Sunghoon Ko ◽  
Jai-Hoon Kim ◽  
Geoffrey Fox
Keyword(s):  
Cost Model ◽  
Adaptive Scheme ◽  
Mobile Grid ◽  
Grid Environments

scholarly journals Energy Efficient Resource Management in Mobile Grid

2010 ◽  
Vol 6 (2) ◽  
pp. 193-211 ◽  
Author(s):  
Chunlin Li ◽  
Layuan Li
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Scheduling Algorithm ◽  
Optimization Theory ◽  
Research Area ◽  
Energy Aware ◽  
Mobile Grid ◽  
Management Algorithm ◽  
Efficient Resource

Energy efficient computing has recently become hot research area. Many works have been carried out on conserving energy, but considering energy efficiency in grid computing is few. This paper proposes energy efficient resource management in mobile grid. The objective of energy efficient resource management in mobile grid is to maximize the utility of the mobile grid which is denoted as the sum of grid application utility. The utility function models benefits of application and system. By using nonlinear optimization theory, energy efficient resource management in mobile grid can be formulated as multi objective optimization problem. In order to derive a distributed algorithm to solve global optimization problem in mobile grid, we decompose the problem into the sub problems. The proposed energy efficient resource management algorithm decomposes the optimization problem via iterative method. To test the performance of the proposed algorithm, the simulations are conducted to compare proposed energy efficient resource management algorithm with other energy aware scheduling algorithm.

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