DocumentCode :
3124963
Title :
Shaman: A Self-Healing Database System
Author :
Duan, Songyun ; Franklin, Peter ; Thummala, Vamsidhar ; Zhao, Dongdong ; Babu, Shivnath
Author_Institution :
Dept. of Comput. Sci., Duke Univ., Durham, NC
fYear :
2009
fDate :
March 29 2009-April 2 2009
Firstpage :
1539
Lastpage :
1542
Abstract :
A self-healing system is a grand-challenge vision where the system will detect, diagnose, and repair performance problems and hardware/software faults automatically. These systems take humans out of the failure-recovery loop, enabling recovery to happen at fast machine timescales rather than slower human timescales. Are self-healing database systems Utopia or just a hard puzzle to solve? We argue for the latter and propose to demonstrate a self-healing database system, called Shaman, that is being prototyped at Duke.
Keywords :
fault tolerant computing; relational databases; system recovery; Shaman self-healing database system; failure-recovery loop; relational database; Computer science; Data engineering; Database systems; Fault detection; Hardware; Humans; Machine vision; Resource management; USA Councils; Virtual manufacturing; Database system; queuing networks; self-healing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location :
Shanghai
ISSN :
1084-4627
Print_ISBN :
978-1-4244-3422-0
Electronic_ISBN :
1084-4627
Type :
conf
DOI :
10.1109/ICDE.2009.136
Filename :
4812567
Link To Document :
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