Title :
Emulating XML and Online Algorithms with Sangu
Author_Institution :
Sci. & Technol. Sch., Tianjin Univ. of Finance & Economic, Tianjin, China
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;
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
DOI :
10.1109/ICCMS.2010.402
