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Displaying 1-9 out of 9 total
A Distributed Computing Model and Its Application
Found in: Computer Networks and Mobile Computing, International Conference on
By Chunlin Li, Zhengding Lu, Layuan Li
Issue Date:October 2001
pp. 341
This paper presents a Java -based distributed computing model for deploying networking system. The proposed model can raise the level of abstraction for network or distributed system programming, from network protocol level to the object interface level, i...
 
An Energy Level Based Routing Protocol in Ad Hoc Networks
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Layuan Li, Chunlin Li, Peiyan Yuan
Issue Date:December 2006
pp. 306-312
The study of energy constrained routing protocols in mobile Ad Hoc Networks (MANET) is attracting more attention recently. The typical MANET routing protocols of IETF are shortest routing protocols, that is, the least hops and do not consider the energy aw...
 
Pricing and Resource Allocation in Computational Grid with Utility Functions
Found in: Information Technology: Coding and Computing, International Conference on
By Li Chunlin, Li Layuan
Issue Date:April 2005
pp. 175-180
To solve the problem of heterogeneous demand in the grid, grid users' preferences are summarized by means of their utility functions. This paper proposes to use measurable characteristics to formulate utility functions, rather than abstract utility functio...
 
Utility Based Multiple QoS Guaranteed Resource Scheduling Optimization in Grid Computing
Found in: International Conference on Computing: Theory and Applications
By Li Chunlin, Li Layuan
Issue Date:March 2007
pp. 165-169
In this paper, we consider multiple QoS based grid resource scheduling. It is heterogeneity and dynamics of the grid that make QoS problems in grid environment challenging. Computational grid?s resource management must deal with various demands from users....
 
Optimal Multiple QoS Resource Scheduling In Grid Computing
Found in: Advanced Information Networking and Applications, International Conference on
By Li Chunlin, Li Layuan
Issue Date:April 2006
pp. 240-246
This paper presents multiple QoS-bsed Grid resource scheduling models and solves the scheduling problems using optimization techniques. Each of grid task agent?s diverse requirements is modeled as a quality of service (QoS) dimension, associated with each ...
 
Coronary Angiography Image Edge Detection Based on Information Measure
Found in: Information Engineering, International Conference on
By Mei Wang, Chunlin Li, Wenhao Cai, Xiaowei Wu
Issue Date:August 2010
pp. 141-144
A new edge detection method is presented based on the information measure, and the new method is applied to the coronary angiogram. Firstly, the blood vessel path points are found by using the square template, and the quasi-center curve of the vessel segme...
 
Minimum-Congestion Weighted Hypergraph Embedding in a Rings Cycle
Found in: Computer Science and Information Engineering, World Congress on
By Qi Wang, Xiaoshan Liu, Xiaowei Zheng, Chunlin Li
Issue Date:April 2009
pp. 86-90
A rings cycle is an undirected graph obtained from a cycle by replacing each edge of the cycle with a ring so that two rings corresponding to the two end-nodes of any edge have precisely one node in common. Given a weighted hypergraph on a rings cycle, Min...
 
Joint Application-Fabric Layer Optimization in Grid Computing
Found in: Computational Science and Engineering, IEEE International Conference on
By Chunlin Li
Issue Date:July 2008
pp. 141-146
The paper exploits the interlayer coupling of across-layer design concept in grid computing environment. A joint application and fabric layer resource scheduling algorithm which combines both application-centric and system-centric scheduling benefits is pr...
 
A two level market model for resource allocation optimization in computational grid
Found in: Proceedings of the 2nd conference on Computing frontiers (CF '05)
By Li ChunLin, Li Layuan
Issue Date:May 2005
pp. 66-71
This paper investigates the interactions between agents representing users, services and resources to solve resource allocation optimization in computational grid. In order to reduce the computational complexity, we further decompose the grid resource allo...
     
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