An Novel Auction Algorithm for Resource Management in Grid Environment

Author(s):  
Yang Yang ◽  
Zhimin Tian ◽  
Zhengli Zhai ◽  
Li Liu
2011 ◽  
Vol 50-51 ◽  
pp. 521-525
Author(s):  
Xian Mei Fang

Grid is an emerging infrastructure which enables effective coordinate access to various distributed computing resources in order to serve the needs of collaborative research and work across the world. Grid resource management is always a key subject in the grid computing. We first analyze the resource management in the grid computing environment, then according to the load imbalance question in the ant colony optimization algorithm, propose an improved algorithm that suits to be used in the grid environment.


2011 ◽  
Vol 50-51 ◽  
pp. 358-362
Author(s):  
Yue Zhang ◽  
Yun Xia Pei

Resource management model was presented based on cloud computing using virtualization technologies. According to this strategy, a resource scheduling model was designed. This strategy can really effectively improve resource utilization rate. This algorithm met the needs of cloud computing more than others for grid environment with shorter response time and better performance, which were proved by the simulation results in the Gridsim environment.


2013 ◽  
pp. 173-177 ◽  
Author(s):  
Susmita Singh ◽  
Madhulina Sarkar ◽  
Sarbani Roy ◽  
Nandini Mukherjee

Author(s):  
Man Wang ◽  
Zhihui Du ◽  
Zhili Cheng

Resource Management System (RMS), which manages the Grid resources and matches the applications’ requests to the proper resources, is one of the most important and complex parts in Grid systems. In fact, because of the complexity of Gird environment, one resource management approach alone cannot satisfy different applications’ requirement. Therefore, a novel Adaptive Resource Management (ARM) mechanism is provided here. This mechanism is based on multidimensional Grid QoS, which dynamically organizes Grid resources into Task Resources for feasible distribution. Moreover, this management mechanism can select appropriate management approach according to different applications’ requirements, which is well adapted to dynamic Grid environment.


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