Volume 10 - Issue 17
Motion compensation aided methods based on ICFV algorithm
Abstract
As the rapid development of internet and information technology, the database system becomes more and more complicated, the scale of data storage is larger and larger, and the management of database system also becomes more and more expensive as well as tedious. It mainly depends on the manual adjustment of the database administrators in the traditional way. However, the traditional way is lack of dynamic accommodation according to the resource utilization. Meanwhile the cost of database administrators is a great burden in the maintenance of database. In order to improve the responsible adaptive performance of the database, the paper uses ICFV algorithms to optimize load adaptive performance of database. it first summarizes and concludes the main content and the common algorithm of the self-adapting of the database, then elaborates detailed the basic idea, mathematical model and implementation steps of the ICFV algorithm, finally carries out the instance simulation, experiments show that using ICFV algorithm to implement the load adaptive optimization of the database saves the operation time, reduces the resources consumption, which has a certain research significance.
Paper Details
PaperID: 84912567495
Author's Name: Zhou, H., Zhang, Z.
Volume: Volume 10
Issues: Issue 17
Keywords: Adaptive optimization, Database load, Eigenvector, ICFV algorithm
Year: 2014
Month: September
Pages: 7251 - 7258