Name
Abstract | ||
|---|---|---|
Cloud computing environments provide a resource pool for customers for their processing, storage and networking needs. It is necessary for customers to choose desirable configuration from vast resources available in the cloud. This paper proposes a heuristic model to choose a cloud configuration for efficient use. Trend analysis in data mining is used to predict the future trend and assist provisioning. The model is experimented with Intel power 32 core machine and in Azure cloud. Both environments demonstrated that the proposed model provided effective solutions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICDCSW.2012.46 | ICDCS Workshops |
Keywords | Field | DocType |
cloud configuration,trend analysis,core machine,desirable configuration,azure cloud,cloud computing,future trend,cost-effective intelligent configuration model,heuristic model,cloud computing environment,intel power,predictive models,computational modeling,cloud,data mining,configuration,system performance,memory | Trend analysis,Heuristic,Computer science,Provisioning,Resource pool,Database,Cloud testing,Cloud computing,Single-chip Cloud Computer | Conference |
Citations | PageRank | References |
10 | 0.64 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Tek Tsai | 1 | 3601 | 610.30 |
| Guanqiu Qi | 2 | 164 | 16.20 |
| Yinong Chen | 3 | 1361 | 127.89 |