NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems

Dan Zhang; Duo Liu; Liang Liang; Lei Yao; Kan Zhong; Zili Shao

doi:10.1109/HPCC-CSS-ICESS.2015.37

NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems

Dan Zhang, Duo Liu, Liang Liang, Lei Yao, Kan Zhong, Zili Shao

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

Mobile virtualization provides a secure and reliable mobile ecosystem in many aspects, such as personal privacy, corporate and public security. However, the limited memory resources of mobile systems and virtualization's memory demanding feature post challenges on main memory. Fortunately, non-volatile random access memory(NVRAM) provides opportunities to solve the problem with its attractive features, such as high density, low standby power and so on. However, the long write latency of NVRAM may slow down the performance of write-intensive tasks. Time-critical tasks may end up with unbearable performance. In this paper, we therefore focus on improving the performance of mobile virtualization with NVRAM/DRAM hybrid main memory. To achieve this, we propose NV-CFS, an user-centric virtual machine scheduler built for the ARM/KVM hypervisor. Experimental results based on various pseudo-randomly selected task sets show that NV-CFS can improve the performance more than 30%, and significantly reduce the task deadline miss ratio when compared to the traditional scheduling algorithm.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
Publisher	IEEE
Pages	802-805
Number of pages	4
ISBN (Electronic)	9781479989362
DOIs	https://doi.org/10.1109/HPCC-CSS-ICESS.2015.37
Publication status	Published - 23 Nov 2015
Event	17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States Duration: 24 Aug 2015 → 26 Aug 2015

Conference

Conference	17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Country/Territory	United States
City	New York
Period	24/08/15 → 26/08/15

Keywords

Hybrid main memory
KVM
Mobile virtualization
NVRAM
Scheduling

ASJC Scopus subject areas

Software
Control and Systems Engineering
Computer Networks and Communications

More information

10.1109/HPCC-CSS-ICESS.2015.37

Cite this

Zhang, D., Liu, D., Liang, L., Yao, L., Zhong, K., & Shao, Z. (2015). NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems. In Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015 (pp. 802-805). Article 7336257 IEEE. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.37

Zhang, Dan ; Liu, Duo ; Liang, Liang et al. / NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems. Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. IEEE, 2015. pp. 802-805

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abstract = "Mobile virtualization provides a secure and reliable mobile ecosystem in many aspects, such as personal privacy, corporate and public security. However, the limited memory resources of mobile systems and virtualization's memory demanding feature post challenges on main memory. Fortunately, non-volatile random access memory(NVRAM) provides opportunities to solve the problem with its attractive features, such as high density, low standby power and so on. However, the long write latency of NVRAM may slow down the performance of write-intensive tasks. Time-critical tasks may end up with unbearable performance. In this paper, we therefore focus on improving the performance of mobile virtualization with NVRAM/DRAM hybrid main memory. To achieve this, we propose NV-CFS, an user-centric virtual machine scheduler built for the ARM/KVM hypervisor. Experimental results based on various pseudo-randomly selected task sets show that NV-CFS can improve the performance more than 30%, and significantly reduce the task deadline miss ratio when compared to the traditional scheduling algorithm.",

keywords = "Hybrid main memory, KVM, Mobile virtualization, NVRAM, Scheduling",

author = "Dan Zhang and Duo Liu and Liang Liang and Lei Yao and Kan Zhong and Zili Shao",

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note = "17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 ; Conference date: 24-08-2015 Through 26-08-2015",

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Zhang, D, Liu, D, Liang, L, Yao, L, Zhong, K & Shao, Z 2015, NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems. in Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015., 7336257, IEEE, pp. 802-805, 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015, New York, United States, 24/08/15. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.37

NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems. / Zhang, Dan; Liu, Duo; Liang, Liang et al.
Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. IEEE, 2015. p. 802-805 7336257.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Zhang, Dan

AU - Liu, Duo

AU - Liang, Liang

AU - Yao, Lei

AU - Zhong, Kan

AU - Shao, Zili

PY - 2015/11/23

Y1 - 2015/11/23

N2 - Mobile virtualization provides a secure and reliable mobile ecosystem in many aspects, such as personal privacy, corporate and public security. However, the limited memory resources of mobile systems and virtualization's memory demanding feature post challenges on main memory. Fortunately, non-volatile random access memory(NVRAM) provides opportunities to solve the problem with its attractive features, such as high density, low standby power and so on. However, the long write latency of NVRAM may slow down the performance of write-intensive tasks. Time-critical tasks may end up with unbearable performance. In this paper, we therefore focus on improving the performance of mobile virtualization with NVRAM/DRAM hybrid main memory. To achieve this, we propose NV-CFS, an user-centric virtual machine scheduler built for the ARM/KVM hypervisor. Experimental results based on various pseudo-randomly selected task sets show that NV-CFS can improve the performance more than 30%, and significantly reduce the task deadline miss ratio when compared to the traditional scheduling algorithm.

AB - Mobile virtualization provides a secure and reliable mobile ecosystem in many aspects, such as personal privacy, corporate and public security. However, the limited memory resources of mobile systems and virtualization's memory demanding feature post challenges on main memory. Fortunately, non-volatile random access memory(NVRAM) provides opportunities to solve the problem with its attractive features, such as high density, low standby power and so on. However, the long write latency of NVRAM may slow down the performance of write-intensive tasks. Time-critical tasks may end up with unbearable performance. In this paper, we therefore focus on improving the performance of mobile virtualization with NVRAM/DRAM hybrid main memory. To achieve this, we propose NV-CFS, an user-centric virtual machine scheduler built for the ARM/KVM hypervisor. Experimental results based on various pseudo-randomly selected task sets show that NV-CFS can improve the performance more than 30%, and significantly reduce the task deadline miss ratio when compared to the traditional scheduling algorithm.

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PB - IEEE

T2 - 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015

Y2 - 24 August 2015 through 26 August 2015

ER -

Zhang D, Liu D, Liang L, Yao L, Zhong K, Shao Z. NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems. In Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015. IEEE. 2015. p. 802-805. 7336257 doi: 10.1109/HPCC-CSS-ICESS.2015.37

NV-CFS: NVRAM-assisted scheduling optimization for virtualized mobile systems

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