Resource Scheduling Optimization Model in Cloud Computing Environment

Autor: Chun Yan Kang, Tie Jun Shi
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. :1645-1648
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.687-691.1645
Popis: In the process of cloud computing, the dynamic hierarchical resource index is researched, and the independent confusion cloud computing is studied. This problem has become the focus of data processing. Therefore, it needs to establish improved dynamic layered resource index independent confuse cloud computing model. According to the theory of support vector machine, all of the resources are taken with dynamical layered processing, different levels of resources are taken with the independent confusion cloud computing. The experiment results show that, this algorithm is taken for the dynamic layered resource cloud computing, calculation efficiency can be improved, computational complexity and redundancy are reduced, meet the practical demands of dynamic hierarchical resource index independent confused cloud computing. It has good application value in the cloud computing application.
Databáze: OpenAIRE