Node Availability-Based Congestion Control Model Using Fuzzy Logic for Computational Grid

S. Jang, I. Kim, J. S. Lee
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引用次数: 0

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.
计算网格中基于节点可用性的模糊拥塞控制模型
本文研究了GRID网络社区一直感兴趣的拥塞控制问题。为了解决FOBS等现有拥塞控制模型存在的问题,本文提出了基于节点可用性的拥塞控制模型。该模型不仅监测电网节点的存储可用性,还监测电网节点的网络可用性,以检测和控制拥塞。该模型采用模糊自适应分组机制,对网格节点的拥塞程度进行估计,并对节点的分组传输速率进行调整,以保证计算网格中数据的稳定可靠传输。实验结果表明,该模型的性能优于典型的拥塞控制模型FOBS。
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