Abstract
Cloud computing, such as Infrastructure as a Service (IaaS), enables vendors to use virtualization technology to rent computing resources on a physical machine to execute the desired applications of users. IaaS is the most common business model of cloud computing; however, its availability remains a concern among users. Several factors affect the availability of a cloud computing center, such as interruption of service caused by hardware component damage. In this study, we focused on the thermal emergency event of CPU overheating caused by chassis fan damage, and determined a method to resolve the crisis before a crash occurs. We designed a thermal-aware VM migration manager (TAVMM) that can determine the health of a physical machine from its temperature and resource use information. By leveraging VM migration, the risk to the physical machine can be removed by transferring its load to a normal one and reducing the CPU temperature. We propose heat transfer and migration time as criteria for a VM selection policy and the load balance algorithm regarding thermal tolerance as the VM allocation policy. The simulation results show that a TAVMM with the proposed VM selection and allocation policy can enhance system ability and reduce the number of VM failures.
| Original language | English |
|---|---|
| Pages (from-to) | 1475-1502 |
| Number of pages | 28 |
| Journal | Wireless Personal Communications |
| Volume | 97 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
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Using Thermal-Aware VM Migration Mechanism for High-Availability Cloud Computing. / Chen, Ying Jun; Horng, Gwo Jiun; Li, Jian Hua; Cheng, Sheng Tzong.
In: Wireless Personal Communications, Vol. 97, No. 1, 01.11.2017, p. 1475-1502.Research output: Contribution to journal › Article
TY - JOUR
T1 - Using Thermal-Aware VM Migration Mechanism for High-Availability Cloud Computing
AU - Chen, Ying Jun
AU - Horng, Gwo Jiun
AU - Li, Jian Hua
AU - Cheng, Sheng Tzong
PY - 2017/11/1
Y1 - 2017/11/1
N2 - Cloud computing, such as Infrastructure as a Service (IaaS), enables vendors to use virtualization technology to rent computing resources on a physical machine to execute the desired applications of users. IaaS is the most common business model of cloud computing; however, its availability remains a concern among users. Several factors affect the availability of a cloud computing center, such as interruption of service caused by hardware component damage. In this study, we focused on the thermal emergency event of CPU overheating caused by chassis fan damage, and determined a method to resolve the crisis before a crash occurs. We designed a thermal-aware VM migration manager (TAVMM) that can determine the health of a physical machine from its temperature and resource use information. By leveraging VM migration, the risk to the physical machine can be removed by transferring its load to a normal one and reducing the CPU temperature. We propose heat transfer and migration time as criteria for a VM selection policy and the load balance algorithm regarding thermal tolerance as the VM allocation policy. The simulation results show that a TAVMM with the proposed VM selection and allocation policy can enhance system ability and reduce the number of VM failures.
AB - Cloud computing, such as Infrastructure as a Service (IaaS), enables vendors to use virtualization technology to rent computing resources on a physical machine to execute the desired applications of users. IaaS is the most common business model of cloud computing; however, its availability remains a concern among users. Several factors affect the availability of a cloud computing center, such as interruption of service caused by hardware component damage. In this study, we focused on the thermal emergency event of CPU overheating caused by chassis fan damage, and determined a method to resolve the crisis before a crash occurs. We designed a thermal-aware VM migration manager (TAVMM) that can determine the health of a physical machine from its temperature and resource use information. By leveraging VM migration, the risk to the physical machine can be removed by transferring its load to a normal one and reducing the CPU temperature. We propose heat transfer and migration time as criteria for a VM selection policy and the load balance algorithm regarding thermal tolerance as the VM allocation policy. The simulation results show that a TAVMM with the proposed VM selection and allocation policy can enhance system ability and reduce the number of VM failures.
UR - http://www.scopus.com/inward/record.url?scp=85020553649&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020553649&partnerID=8YFLogxK
U2 - 10.1007/s11277-017-4582-8
DO - 10.1007/s11277-017-4582-8
M3 - Article
AN - SCOPUS:85020553649
VL - 97
SP - 1475
EP - 1502
JO - Wireless Personal Communications
JF - Wireless Personal Communications
SN - 0929-6212
IS - 1
ER -