Title :
Research on Disaster Tolerance System Based on Network Dataflow
Author :
Lin Guo ; Hua, Huang ; Lejun Zhang ; Yongtian Yang ; Jianpei Zhang
Author_Institution :
Harbin Eng. Univ., Harbin, China
Abstract :
In recent years, the disaster tolerance capability of network information systems has become the focus of research interest. In this paper, a disaster tolerance system architecture based on network dataflow is proposed and several techniques have been studied, namely, the rapid dataflow capturing, the failure packet filtering, the packet sequential storage technique supporting rapid retrieval, and the dataflow replay key technique supporting any revisit point. The disaster tolerance system using data streaming method does not incur extra system overhead, and is independent of specific applications. It can improve the data disaster tolerance generality and reduce deployment costs.
Keywords :
business continuity; fault tolerant computing; information systems; system recovery; data streaming method; disaster tolerance system architecture; failure packet filtering; network dataflow; network information systems; packet sequential storage technique; rapid dataflow capturing; Costs; Disaster management; Earthquakes; Fires; Libraries; Military computing; Protection; Protocols; Storage area networks; Terrorism; dataflow replay; dataflow storage; disaster tolerance; network dataflow;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.76