DocumentCode
3530767
Title
A Multi-channel and Real-Time Disaster Recovery Backup Method Based on P2P Streaming
Author
Dongyan Zhang ; Tao Zhang
Author_Institution
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
21
Lastpage
26
Abstract
The cost of backup for disaster recovery using leased line is high and there is also a conflict between fixed bandwidth of the leased line and dynamic changes of backup data size. The transmission of leased line also has danger of single point failure. In this paper, we put forward a multi-channel and real-time disaster recovery backup method based on P2P streaming. We designed the transmission model and backup algorithm which consisted of node joining and leaving algorithm, data sending and receiving mechanism of multi-channel and self-adaptive bandwidth. We also designed network nodes conflict resolution algorithm to ensure transport channel redundancy. We evaluated the important metrics of RTO and RPO under different conditions and optimized algorithm in terms of metrics improvement and efficiency. Finally, we carried out simulation experiments.
Keywords
Internet; media streaming; peer-to-peer computing; real-time systems; system recovery; Internet; P2P streaming; RPO; RTO; backup algorithm; data receiving mechanism; data sending mechanism; metrics efficiency; metrics improvement; multichannel disaster recovery backup method; network node conflict resolution algorithm; node joining algorithm; node leaving algorithm; real-time disaster recovery backup method; recovery point objective; recovery time objective; self-adaptive bandwidth; transmission model; transport channel redundancy; Algorithm design and analysis; Bandwidth; Data communication; Delays; Optimization; Peer-to-peer computing; Multi-channel; P2P; backup; disaster recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-2140-9
Type
conf
DOI
10.1109/EIDWT.2013.9
Filename
6631586
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