Abstract
The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Studia Informatica Pomerania
no. 37,
pages 57 - 71,
ISSN: 2451-0424 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Krawczyk H., Proficz J., Ziółkowski T.: Category-Based Workload Modeling for Hardware Load Prediction in Heterogeneous IaaS Cloud// Studia Informatica. -Vol. 37., nr. 2(124) (2016), s.57-71
- Verified by:
- Gdańsk University of Technology
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