Name
Abstract | ||
|---|---|---|
With the development of Internet technology, SaaS is gaining popularity as a kind of innovative mode of software applications. In order to meet the needs of the periodic user behavior better, allocate virtual resource more reasonable and achieve the targets of SaaS Service performance optimization and energy conservation, this paper puts forward one SaaS resource management method oriented to periodic user behavior. This method takes the periodic user behavior as the research object, predicts future resource demand by predicting and matching concurrent requests and resource occupancy, then allocates the resource by demands. The results show that this strategy has good usability and validity and it can predict the user future demand for resources accurately. This method also lays a foundation for further performance optimization and energy conservation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40319-4_46 | PAKDD Workshops |
Keywords | Field | DocType |
energy conservation,periodic user behavior,saas,vm resource | Resource management,Data mining,Energy conservation,Computer science,Popularity,Usability,Knowledge management,Software as a service,Software,Periodic graph (geometry),Distributed computing,The Internet | Conference |
Volume | Issue | Citations |
7867 LNAI | null | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |