Ontology-Based Approach to Scheduling of Jobs Processed by Applications Running in Virtual Environments-Reference-Cited by-同舟云学术

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Ontology-Based Approach to Scheduling of Jobs Processed by Applications Running in Virtual Environments

Published:2015 Issue: Volume: Page:273-282
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Khegai Maksim,Zubok Dmitrii,Maiatin Alexandr

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-24543-0_21

Reference13 articles.

1. Abdullah, M., Othman, M.: Cost-Based Multi-QoS job scheduling using divisible load theory in cloud computing. In: Dell’Olmo, P., Pesenti, R., Speranza, M.G. (eds.) Computers & Operations Research, vol. 34, pp. 928–935. Elsevier (2007)

2. Arzuaga, E., Kaeli, D.R.: Quantifying load imbalance on virtualized enterprise servers. In: Proceedings of the First Joint WOSP/SIPEW International Conference on Performance Engineering, pp. 235–242 (2010)

3. Saraswathia, A.T., Kalaashrib, Y.R.A., Padmavathi, S.: Dynamic resource allocation scheme in cloud computing. In: Procedia Computer Science, vol. 47, pp. 30–36. Elsevier (2015)

4. Funika, W., Janczykowski, M., Jopek, K., Grzegorczyk, M.: An ontology-based approach to performance monitoring of MUSCULE-bound multi-scale applications. In: Procedia Computer Science, vol. 18, pp. 1126–1135. Elsevier (2013)

5. Hu, W., Hicks, A., Zhang, L., Dow, E.M., Soni, V., Jiang, H., Bull, R., Matthews, J.N.: A quantitative study of virtual machine live migration. In: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference (2013)

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