Maximizing Utilization in Private IaaS Clouds with Heterogenous Load through Time Series Forecasting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207154" target="_blank" >RIV/68407700:21230/13:00207154 - isvavai.cz</a>
Result on the web
<a href="http://www.iariajournals.org/systems_and_measurements/sysmea_v6_n12_2013_paged.pdf" target="_blank" >http://www.iariajournals.org/systems_and_measurements/sysmea_v6_n12_2013_paged.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Maximizing Utilization in Private IaaS Clouds with Heterogenous Load through Time Series Forecasting
Original language description
This document presents ongoing work on creating a computing system that can run two types of workloads on a private cloud computing cluster, namely web servers and batch computing jobs, in a way that would maximize utilization of the computing infrastructure. To this end, a queue engine called Cloud Gunther has been developed. This application improves upon current practices of running batch computations in the cloud by integrating control of virval machine provisioning within the job scheduler. For managing web server workloads, we present ScaleGuru, which has been modeled after Amazon Auto Scaler for easier transition from public to private cloud. Both these tools are tested to run over the Eucalyptus cloud system. Further research has been done in the area of Time Series Forecasting, which enables to predict the load of a system based on past observations. Due to the periodic nature of the interactive load, predictions can be made in the horizon of days with reasonable accuracy. Two
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal On Advances in Systems and Measurements
ISSN
1942-261X
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
1&2
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
149-165
UT code for WoS article
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EID of the result in the Scopus database
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