Semantic Cloud Resource Recommendation Using Cluster Analysis in Hybrid Cloud Computing Environment


KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 9, pp. 283-288, Sep. 2015
10.3745/KTCCS.2015.4.9.283,   PDF Download:

Abstract

Scientists gain benefits from on-demand scalable resource provisioning, and various computing environments by using cloud computing resources for their applications. However, many cloud computing service providers offer their cloud resources according to their own policies. The descriptions of resource specification are diverse among vendors. Subsequently, it becomes difficult to find suitable cloud resources according to the characteristics of an application. Due to limited understanding of resource availability, scientists tend to choose resources used in previous experiments or over-performed resources without considering the characteristics of their applications. The need for standardized notations on diverse cloud resources without the constraints of complicated specification given by providers leads to active studies on intercloud to support interoperability in hybrid cloud environments. However, projects related to intercloud studies are limited as they are short of expertise in application characteristics. We define an intercloud resource classification and propose semantic resource recommendation based on statistical analysis to provide semantic cloud resource services for an application in hybrid cloud computing environments. The scheme proves benefits on resource availability and cost-efficiency with choosing semantically similar cloud resources using cluster analysis while considering application characteristics.


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Cite this article
[IEEE Style]
Y. S. Ahn and Y. H. Kim, "Semantic Cloud Resource Recommendation Using Cluster Analysis in Hybrid Cloud Computing Environment," KIPS Transactions on Computer and Communication Systems, vol. 4, no. 9, pp. 283-288, 2015. DOI: 10.3745/KTCCS.2015.4.9.283.

[ACM Style]
Youn Sun Ahn and Yoon Hee Kim. 2015. Semantic Cloud Resource Recommendation Using Cluster Analysis in Hybrid Cloud Computing Environment. KIPS Transactions on Computer and Communication Systems, 4, 9, (2015), 283-288. DOI: 10.3745/KTCCS.2015.4.9.283.