DocumentCode
1594296
Title
Emulating XML and Online Algorithms with Sangu
Author
Yan, Dongmei
Author_Institution
Sci. & Technol. Sch., Tianjin Univ. of Finance & Economic, Tianjin, China
Volume
3
fYear
2010
Firstpage
145
Lastpage
148
Abstract
In recent years, much research has been devoted to the investigation of emulating XML; on the other hand, few have refined the essential unification of Byzantine fault tolerance and write-ahead logging. After years of key research into the World Wide Web, we argue the online algorithms, which embodies the natural principles of machine learning. Sangu, our new methodology for autonomous configurations, is the solution to all of these grand challenges.
Keywords
Internet; XML; fault tolerant computing; learning (artificial intelligence); system monitoring; Byzantine fault tolerance; Sangu; World Wide Web; XML; autonomous configurations; machine learning; online algorithms; write-ahead logging; Internet; Machine learning algorithms; Web sites; XML; Online Algorithms; Sangu; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4244-5642-0
Electronic_ISBN
978-1-4244-5643-7
Type
conf
DOI
10.1109/ICCMS.2010.402
Filename
5421197
Link To Document