Intelligent Virtual Machine Provisioning in Cloud Computing
Chuan Luo,Bo Qiao,Xin Chen,Pu Zhao,Randolph Yao,Hongyu Zhang,Wei Wu,Andrew Zhou,Qingwei Lin +8 more
- 09 Jul 2020
- Vol. 2, pp 1495-1502
TL;DR: This work formulates the practical scenario as the predictive VM provisioning (PreVMP) problem, and proposes Uncertainty-Aware Heuristic Search (UAHS) for PreVMP, which first models the prediction uncertainty, and then utilizes the predicted uncertainty in optimization.
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Abstract: Virtual machine (VM) provisioning is a common and critical problem in cloud computing. In industrial cloud platforms, there are a huge number of VMs provisioned per day. Due to the complexity and resource constraints, it needs to be carefully optimized to make cloud platforms effectively utilize the resources. Moreover, in practice, provisioning a VM from scratch requires fairly long time, which would degrade the customer experience. Hence, it is advisable to provision VMs ahead for upcoming demands. In this work, we formulate the practical scenario as the predictive VM provisioning (PreVMP) problem, where upcoming demands are predicted in advance, and then the VM provisioning plan is optimized based on predicted demands. Further, we propose Uncertainty-Aware Heuristic Search (UAHS) for PreVMP. UAHS first models the prediction uncertainty, and then utilizes the prediction uncertainty in optimization. Moreover, UAHS leverages Bayesian optimization to interact prediction and optimization to improve its performance. Extensive experiments show that UAHS performs much better than state-of-the-art competitors on two public real-world datasets and an industrial dataset. UAHS has been successfully applied in an industrial public cloud platform and brought practical benefits in real-world applications.
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Citations
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AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo,Jinkun Lin,Shaowei Cai,Xin Chen,Bing He,Bo Qiao,Pu Zhao,Qingwei Lin,Hongyu Zhang,Wei Wu,Saravanakumar Rajmohan,Dongmei Zhang +11 more
- 22 May 2021
TL;DR: In this article, the authors investigate the efficacy of automated algorithm configuration and automated algorithm selection for the constrained covering arrays (CCAs) problem, and propose a novel, automated CCAG approach called AutoCCAG.
15
•Proceedings Article
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
Chuan Luo,Bo Qiao,Wenqian Xing,Xin Chen,Pu Zhao,Chao Du,Randolph Yao,Hongyu Zhang,Wei Wu,Shaowei Cai,Bing He,Saravanakumar Rajmohan,Qingwei Lin +12 more
- 18 May 2021
TL;DR: In this paper, a correlation-aware heuristic search (CAHS) is proposed to solve the predictive virtual machine (VM) provisioning (PreVMP) problem, where the VM provisioning plans are optimized based on the predicted demands of different VM types, to ensure rapid provision upon customers' requests and to pursue high resource utilization.
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