The Isolation Algorithm of Problem Location with Multi-agent Approach for End-to-End Network Performance Management

Abstract

With the dramatic increase in demands for high-performance networkservice, practically in advanced scientific research, as well as commercial internetservice, the performance of data transfer for the huge amount of scientific experimentaldata and medical data, genome data is the key element that enablesadvanced global collaborative research. These activities require a guaranteed endto-end (ETE) network performance and sophisticated network managementframework for the ETE network. This paper suggests an isolation algorithm ofproblem location with multi-agent approach isolation algorithm of problem locationwith multi-agent approach ETE network performance management frameworkwith Case-Base Reasoning (CBR) approach and multi-agent approach. Itwill enable a preliminary and proactive performance management for ETEnetwork.