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 network service, practically in advanced scientific research, as well as commercial internet service, the performance of data transfer for the huge amount of scientific experimental data and medical data, genome data is the key element that enables advanced global collaborative research. These activities require a guaranteed end-to-end (ETE) network performance and sophisticated network management framework for the ETE network. This paper suggests an isolation algorithm of problem location with multi-agent approach isolation algorithm of problem location with multi-agent approach ETE network performance management framework with Case-Base Reasoning (CBR) approach and multi-agent approach. It will enable a preliminary and proactive performance management for ETE network.