Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality

Research and Implementation on Disaster-recovery Oriented Failure Detection Algorithm

Author ChenCheng
Tutor ShenZhiYu
School National University of Defense Science and Technology
Course Computer Science and Technology
Keywords Disaster Recovery Information system Failure detection High Availability
CLC TP309
Type Master's thesis
Year 2008
Downloads 130
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With the rapid development of information systems and network technology , information systems and networks gradually become a cornerstone of the work of key sectors . Centralized storage of data and large-scale use of the network suffered the invasion of natural or man-made disasters , the loss is often irreparable , how to resist the invasion of the disaster is to ensure the continued operation of the business to become one of the focus of attention . Failure detection technology is one of the key technologies of the disaster recovery system , fast, efficient and accurate detection of failure is the premise and guarantee of effective disaster recovery . Failure detection technology for WAN disaster recovery system first analyzes a model of distributed systems , distributed systems fault model , failure detection model and the evaluation criteria of failure detection algorithm , followed by an analysis of high availability field and grid areas failure detection algorithm , and failure detection algorithm in the case of multi-node domain knowledge . This work is mainly reflected in the following aspects : ( 1 ) In-depth analysis of a failure detection model for disaster recovery , and put forward a number of issues need to be addressed in the model , called HB-DR (Heartbeat is designed to address these issues for DisasterRecovery) failure detection algorithm . The algorithm on a regular basis to detect each other , according to the node and network status output ρ value of a representative system availability , and ρ values ??and failure threshold comparison to determine the availability of the system . Usability testing can be used for disaster recovery model system . The simulation tests show that the algorithm can solve the information problem of delayed or lost accuracy decreases . ( 2 ) According to the characteristics of the disaster recovery system requirements, and scale the HB-DR algorithm itself proposed the design of a large-scale failure detection system , the method to improve the scalability of the system design uses the neighbor chain model combined group notice reduce the load on the system . (3 ) by HB-DR algorithm integrated into the Linux-HA software , the a failure detection simulation environment . Detection and management of resources for disaster recovery in the simulation environment , and the algorithm was tested .

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