International Journal of Computational Intelligence Systems

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Volume 12, Issue 2, 2019, Pages 485 - 497

An Adaptive Control Method for Resource Provisioning with Resource Utilization Constraints in Cloud Computing

Authors
Siqian Gong*, Beibei Yin, Zheng Zheng, Kai-yuan Cai
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
*Corresponding author. Email: gongsiqian@buaa.edu.cn
Corresponding Author
Siqian Gong
Received 10 January 2019, Accepted 22 March 2019, Available Online 8 April 2019.
DOI
10.2991/ijcis.d.190322.001How to use a DOI?
Keywords
Adaptive control; Neural network; Dynamic resource provisioning; Cloud computing; QoS; Resource efficiency
Abstract

Cloud computing enables users to purchase virtual resources on demand; therefore, the service requests change over time. Dynamic resource provisioning for cloud computing has become a key challenge. To reduce the associated costs, resource utilization must be improved, and ensure the Quality of Service (QoS) to meet the service-level agreements (SLAs). However, it is difficult to improve the resource utilization level and maintain a high QoS with fluctuating workloads in shared cloud computing systems. In this paper, we propose an adaptive control method for resource provisioning in cloud computing systems to simultaneously improve the resource utilization, achieve a satisfactory QoS, and react to the dynamic workload. We proposed an approach integrating adaptive multi-input and multi-output (MIMO) control and radial basis function (RBF) neural network to react to the highly dynamic workloads, and precisely control the resource allocation to improve resource utilization based on the maximum allowable QoS requirements. Experiments based on real-world workloads show that the proposed approach jointly improves resource utilization, maintains a satisfactory QoS, and handles workload fluctuations in a coordinated manner.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
485 - 497
Publication Date
2019/04/08
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190322.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Siqian Gong
AU  - Beibei Yin
AU  - Zheng Zheng
AU  - Kai-yuan Cai
PY  - 2019
DA  - 2019/04/08
TI  - An Adaptive Control Method for Resource Provisioning with Resource Utilization Constraints in Cloud Computing
JO  - International Journal of Computational Intelligence Systems
SP  - 485
EP  - 497
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190322.001
DO  - 10.2991/ijcis.d.190322.001
ID  - Gong2019
ER  -