scholarly journals G-commerce: market formulations controlling resource allocation on the computational grid

2002 ◽  
Author(s):  
R. Wolski ◽  
J.S. Plank ◽  
T. Bryan ◽  
J. Brevik
Keyword(s):  
Resource Allocation ◽  
Computational Grid

Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid

2012 ◽  
Vol 66 (3) ◽  
pp. 1350-1389 ◽  
Author(s):  
Sepideh Adabi ◽  
Ali Movaghar ◽  
Amir Masoud Rahmani ◽  
Hamid Beigy
Keyword(s):  
Resource Allocation ◽  
Computational Grid ◽  
Negotiation Strategies ◽  
And Behavior

Effective Reformulation for Resource Allocation in Computational Grid

2009 ◽  
Vol 5 (1) ◽  
pp. 90-90
Author(s):  
Xiaoshe Dong ◽  
Yiduo Mei ◽  
Siyuan Ma ◽  
Guannan Gong ◽  
Zhengdong Zhu
Keyword(s):  
Resource Allocation ◽  
Computational Grid

Green Energy Model for Grid Resource Allocation

2014 ◽  
Vol 6 (2) ◽  
pp. 52-73 ◽  
Author(s):  
Achal Kaushik ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Computational Grid ◽  
Energy Model ◽  
Green Energy ◽  
Energy Utilization ◽  
Theoretic Model ◽  
Performance Study ◽  
Characteristic Parameters ◽  
Grid Resource

The computational grid helps in faster execution of compute intensive jobs. Many characteristic parameters are intended to be optimized while making resource allocation for job execution in computational grid. Most often, the green energy aspect, in which one tries for better energy utilization, is ignored while allocating the grid resources to the jobs. The conventional systems, which propose energy efficient scheduling strategies, ignore other Quality of Service parameters while scheduling the jobs. The proposed work tries to optimize the energy in resource allocation to make it a green energy model. It explores how effectively the jobs submitted to the grid can be executed for optimal energy uses making no compromise on other desired related characteristic parameters. A graph theoretic model has been developed for this purpose. The performance study of the proposed green energy model has been experimentally evaluated by simulation. The result reveals the benefits and gives an insight for an energy efficient resource allocation.

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