Paper Info
Title
Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid
Abstract
This paper deals with congestion control in which GRID network community has been interested. In order to solve problems of existing congestion control models like FOBS, this paper proposes the node availability-based congestion control model. The model monitors not only storage availability but also network availability of grid nodes to detect and control congestion. As using the fuzzy adaptive packet allocation mechanism, the model estimates congestion level of grid nodes and adjusts their packet transmission rate for stable and reliable data transfer in computational grid. Experiment results demonstrate that our model outperforms FOBS which is a typical congestion control model with the improved QoS.
Year
DOI
Venue
2007
10.1109/FGCN.2007.169
FGCN (1)
Keywords
Field
DocType
congestion control,fuzzy adaptive packet allocation,typical congestion control model,node availability-based congestion control,grid computing,quality of service,telecommunication congestion control,congestion level,fuzzy logic,qos,node availability-based congestion control model,grid node,grid network,computational grid,congestion control model,fuzzy control,grid network community,fuzzy adaptive packet allocation mechanism,control congestion,data transfer
Grid computing,Computer science,Grid network,Fuzzy logic,Network packet,Computer network,Quality of service,Network congestion,Fuzzy control system,Grid,Distributed computing
Conference
Volume
ISBN
Citations 
1
0-7695-3048-6
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Sung-ho Jang1317.19
In Kee Kim2316.95
Jong Sik Lee37418.95