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Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud
Joint Authors
Zia Ullah, Qazi
Hassan, Shahzad
Khan, Gul Muhammad
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Infrastructure as a Service (IaaS) cloud provides resources as a service from a pool of compute, network, and storage resources.
Cloud providers can manage their resource usage by knowing future usage demand from the current and past usage patterns of resources.
Resource usage prediction is of great importance for dynamic scaling of cloud resources to achieve efficiency in terms of cost and energy consumption while keeping quality of service.
The purpose of this paper is to present a real-time resource usage prediction system.
The system takes real-time utilization of resources and feeds utilization values into several buffers based on the type of resources and time span size.
Buffers are read by R language based statistical system.
These buffers’ data are checked to determine whether their data follows Gaussian distribution or not.
In case of following Gaussian distribution, Autoregressive Integrated Moving Average (ARIMA) is applied; otherwise Autoregressive Neural Network (AR-NN) is applied.
In ARIMA process, a model is selected based on minimum Akaike Information Criterion (AIC) values.
Similarly, in AR-NN process, a network with the lowest Network Information Criterion (NIC) value is selected.
We have evaluated our system with real traces of CPU utilization of an IaaS cloud of one hundred and twenty servers.
American Psychological Association (APA)
Zia Ullah, Qazi& Hassan, Shahzad& Khan, Gul Muhammad. 2017. Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1140976
Modern Language Association (MLA)
Zia Ullah, Qazi…[et al.]. Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1140976
American Medical Association (AMA)
Zia Ullah, Qazi& Hassan, Shahzad& Khan, Gul Muhammad. Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1140976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140976