A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS
In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rongdong Hu [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © 2015 Rongdong Hu et al. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Mathematical problems in engineering - New York, NY : Hindawi, 1995, 2015(2015) |
|---|---|
| Übergeordnetes Werk: |
volume:2015 ; year:2015 |
| Links: |
|---|
| DOI / URN: |
10.1155/2015/215147 |
|---|
| Katalog-ID: |
OLC1961824876 |
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| 520 | |a In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. | ||
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10.1155/2015/215147 doi PQ20160617 (DE-627)OLC1961824876 (DE-599)GBVOLC1961824876 (PRQ)d2571-525034681c29bb3bbbb8b6297f32b8c2a6701c61998183ca39be8dc9801b39b43 (KEY)0604837420150000015000000000newresourcesprovisioningmethodbasedonqosdifferenti DE-627 ger DE-627 rakwb eng 510 ZDB Rongdong Hu verfasserin aut A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. Nutzungsrecht: Copyright © 2015 Rongdong Hu et al. Energy efficiency Workloads Cloud computing Migration Cost control QA1-939 Engineering (General). Civil engineering (General) TA1-2040 Mathematics Guangming Liu oth Jingfei Jiang oth Lixin Wang oth Enthalten in Mathematical problems in engineering New York, NY : Hindawi, 1995 2015(2015) (DE-627)229671004 (DE-600)1385243-7 (DE-576)9229671002 1024-123X nnns volume:2015 year:2015 http://dx.doi.org/10.1155/2015/215147 Volltext http://dx.doi.org/10.1155/2015/215147 http://search.proquest.com/docview/1731737683 https://doaj.org/article/5c04b8104e52411a9e7a5f5f9307d0a3 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 2015 2015 |
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10.1155/2015/215147 doi PQ20160617 (DE-627)OLC1961824876 (DE-599)GBVOLC1961824876 (PRQ)d2571-525034681c29bb3bbbb8b6297f32b8c2a6701c61998183ca39be8dc9801b39b43 (KEY)0604837420150000015000000000newresourcesprovisioningmethodbasedonqosdifferenti DE-627 ger DE-627 rakwb eng 510 ZDB Rongdong Hu verfasserin aut A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. Nutzungsrecht: Copyright © 2015 Rongdong Hu et al. Energy efficiency Workloads Cloud computing Migration Cost control QA1-939 Engineering (General). Civil engineering (General) TA1-2040 Mathematics Guangming Liu oth Jingfei Jiang oth Lixin Wang oth Enthalten in Mathematical problems in engineering New York, NY : Hindawi, 1995 2015(2015) (DE-627)229671004 (DE-600)1385243-7 (DE-576)9229671002 1024-123X nnns volume:2015 year:2015 http://dx.doi.org/10.1155/2015/215147 Volltext http://dx.doi.org/10.1155/2015/215147 http://search.proquest.com/docview/1731737683 https://doaj.org/article/5c04b8104e52411a9e7a5f5f9307d0a3 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 AR 2015 2015 |
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| title_full |
A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS |
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Rongdong Hu |
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Mathematical problems in engineering |
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Mathematical problems in engineering |
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eng |
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10.1155/2015/215147 |
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new resources provisioning method based on qos differentiation and vm resizing in iaas |
| title_auth |
A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS |
| abstract |
In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. |
| abstractGer |
In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. |
| abstract_unstemmed |
In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%. |
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| title_short |
A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS |
| url |
http://dx.doi.org/10.1155/2015/215147 http://search.proquest.com/docview/1731737683 https://doaj.org/article/5c04b8104e52411a9e7a5f5f9307d0a3 |
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Guangming Liu Jingfei Jiang Lixin Wang |
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10.1155/2015/215147 |
| up_date |
2024-07-04T02:12:24.295Z |
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