FiVO/QStorMan Semantic Toolkit for Supporting Data-Intensive Applications in Distributed Environments

Authors

  • Renata Słota AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Cracow
  • Darin Nikołow AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Cracow
  • Jacek Kitowski AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Cracow
  • Dariusz Król AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Cracow
  • Bartosz Kryza AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Cracow

Abstract

In this paper we present a semantic-based approach for supporting data-intensive applications in distributed environments. The approach is characterized by usage of explicit definition of non-functional quality parameters regarding storage systems, semantic descriptions of the available storage infrastructre and monitoring data concering the infrastructure workload and users operation, along with an implementation of the approach in the form of a toolkit called FiVO/QStorMan. In particular, we describe semantic descriptions, which are exploited in the storage resource provisioning process. In addition, the paper describes results of the performed experimental evaluation of the toolkit, which confirm the effectiveness of the proposed approach for the storage resource provisioning.

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Published

2012-11-22

How to Cite

Słota, R., Nikołow, D., Kitowski, J., Król, D., & Kryza, B. (2012). FiVO/QStorMan Semantic Toolkit for Supporting Data-Intensive Applications in Distributed Environments. COMPUTING AND INFORMATICS, 31(5), 1003–1024. Retrieved from http://www.cai.sk/ojs/index.php/cai/article/view/1186

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