An Overview of Cloud-related Cyber-Physical Systems

Bo Shen

doi:doi:10.11648/j.ijdsa.20150102.11

| Peer-Reviewed

An Overview of Cloud-related Cyber-Physical Systems

Bo Shen

Published in International Journal of Data Science and Analysis (Volume 1, Issue 2)

Received: 24 July 2015 Accepted: 31 July 2015 Published: 2 September 2015

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technology in CPS becomes a natural choice. In the paper we survey recent CPS researches related to cloud computing. We firstly examine the works using CPS approach to model data centers. Then we briefly survey cloud-based CPS applications from two perspectives: intelligence transportation system and smart grid. This paper helps the researchers to get a quick overview of cloud-related CPS studies.

Published in	International Journal of Data Science and Analysis (Volume 1, Issue 2)
DOI	10.11648/j.ijdsa.20150102.11
Page(s)	8-13
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Cyber-Physical Systems, Cloud Computing, Data Center, Intelligence Transportation System, Smart Grid

References

[1]	K.-D. Kim and P. Kumar, “Cyber-physical systems: A perspective at the centennial,” Proceedings of the IEEE, vol. 100, no. Special Centennial Issue, pp. 1287–1308, May 2012.
[2]	E. Lee, “Cyber physical systems: Design challenges,” in Object Oriented Real-Time Distributed Computing (ISORC), 2008 11th IEEE International Symposium on, 2008, pp. 363–369.
[3]	R. R. Rajkumar, I. Lee, L. Sha, and J. Stankovic, “Cyber-physical systems: the next computing revolution,” in Proceedings of the 47th Design Automation Conference, ser. DAC ’10. New York, NY, USA: ACM, 2010, pp. 731–736.
[4]	Y. Susuki, T. Koo, H. Ebina, T. Yamazaki, T. Ochi, T. Uemura, and T. Hikihara, “A hybrid system approach to the analysis and design of power grid dynamic performance,” Proceedings of the IEEE, vol. 100, no. 1, pp. 225–239, Jan 2012.
[5]	Y. P. Fallah, C. Huang, R. Sengupta, and H. Krishnan, “Design of cooperative vehicle safety systems based on tight coupling of communication, computing and physical vehicle dynamics,” in Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems, ser. ICCPS ’10. New York, NY, USA: ACM, 2010, pp. 159–167. [Online]. Available: http://doi.acm.org/10.1145/1795194.1795217
[6]	I. Lee, O. Sokolsky, S. Chen, J. Hatcliff, E. Jee, B. Kim, A. King, M. Mullen-Fortino, S. Park, A. Roederer, and K. Venkatasubra- manian, “Challenges and research directions in medical cyber-physical systems,” Proceedings of the IEEE, vol. 100, no. 1, pp. 75–90, Jan 2012.
[7]	M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol. 53, no. 4, pp. 50–58, Apr. 2010. [Online]. Available: http://doi.acm.org/10.1145/1721654.1721672
[8]	J. Koomey, “Growth in data center electricity use 2005 to 2010,” A report by Analytical Press, completed at the request of The New York Times, p. 9, 2011.
[9]	M. T. Chaudhry, T. C. Ling, A. Manzoor, S. A. Hussain, and J. Kim, “Thermal-aware scheduling in green data centers,” ACM Comput. Surv., vol. 47, no. 3, pp. 39:1–39:48, Feb. 2015. [Online]. Available: http://doi.acm.org/10.1145/2678278
[10]	X. Fan, W.-D. Weber, and L. A. Barroso, “Power provisioning for a warehouse-sized computer,” in Proceedings of the 34th Annual International Symposium on Computer Architecture, ser. ISCA ’07. New York, NY, USA: ACM, 2007, pp. 13–23. [Online]. Available: http://doi.acm.org/10.1145/1250662.1250665
[11]	L. Rao, X. Liu, M. Ilic, and J. Liu, “Distributed coordination of internet data centers under multiregional electricity markets,” Proceedings of the IEEE, vol. 100, no. 1, pp. 269–282, Jan 2012.
[12]	J. G. Koomey, “Worldwide electricity used in data centers,” Environmental Research Letters, vol. 3, no. 3, p. 034008, 2008. [Online]. Available: http://stacks.iop.org/1748-9326/3/i=3/a=034008
[13]	L. Parolini, B. Sinopoli, B. Krogh, and Z. Wang, “A cyber-physical systems approach to data center modeling and control for energy efficiency,” Proceedings of the IEEE, vol. 100, no. 1, pp. 254–268, Jan 2012.
[14]	L. Rao, X. Liu, M. Ilic, and J. Liu, “Mec-idc: Joint load balancing and power control for distributed internet data centers,” in Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems, ser. ICCPS ’10. New York, NY, USA: ACM, 2010, pp. 188–197. [Online]. Available: http://doi.acm.org/10.1145/1795194.1795220
[15]	Q. Tang, S. Gupta, and G. Varsamopoulos, “Energy-efficient thermal-aware task scheduling for homogeneous high- performance computing data centers: A cyber-physical approach,” Parallel and Distributed Systems, IEEE Transactions on, vol. 19, no. 11, pp. 1458–1472, Nov 2008.
[16]	L. Li, C.-J. M. Liang, J. Liu, S. Nath, A. Terzis, and C. Faloutsos, “Thermocast: A cyber-physical forecasting model for datacenters,” in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ser. KDD ’11. New York, NY, USA: ACM, 2011, pp. 1370–1378. [Online]. Available: http://doi.acm.org/10.1145/2020408.2020611
[17]	T. Mukherjee, A. Banerjee, G. Varsamopoulos, S. K. Gupta, and S. Rungta, “Spatio-temporal thermal-aware job scheduling to minimize energy consumption in virtualized heterogeneous data centers,” Computer Networks, vol. 53, no. 17, pp. 2888– 2904, 2009, virtualized Data Centers. [Online]. Available:
[18]	A. Banerjee, T. Mukherjee, G. Varsamopoulos, and S. Gupta, “Cooling-aware and thermal-aware workload placement for green hpc data centers,” in Green Computing Conference, 2010 International, Aug 2010, pp. 245–256.
[19]	M. Gerla, “Vehicular cloud computing,” in Ad Hoc Networking Workshop (Med-Hoc-Net), 2012 The 11th Annual Mediterranean, June 2012, pp. 152–155.
[20]	M. Whaiduzzaman, M. Sookhak, A. Gani, and R. Buyya, “A survey on vehicular cloud computing,” Journal of Network and Computer Applications, vol. 40, no. 0, pp. 325 – 344, 2014. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1084804513001793
[21]	H. Abid, L. T. T. Phuong, J. Wang, S. Lee, and S. Qaisar, “V-cloud: Vehicular cyber-physical systems and cloud computing,” in Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ser. ISABEL ’11. New York, NY, USA: ACM, 2011, pp. 165:1–165:5. [Online]. Available: http://doi.acm.org/10.1145/2093698.2093863
[22]	J. Wan, D. Zhang, Y. Sun, K. Lin, C. Zou, and H. Cai, “Vcmia: A novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing,” Mobile Networks and Applications, vol. 19, no. 2, pp. 153–160, 2014. [Online]. Available: http://dx.doi.org/10.1007/s11036-014-0499-6
[23]	J. Wan, D. Zhang, S. Zhao, L. Yang, and J. Lloret, “Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions,” Communications Magazine, IEEE, vol. 52, no. 8, pp. 106–113, Aug 2014.
[24]	S. Bitam and A. Mellouk, “Its-cloud: Cloud computing for intelligent transportation system,” in Global Communications Conference (GLOBECOM), 2012 IEEE, Dec 2012, pp. 2054–2059.
[25]	R. Yu, Y. Zhang, S. Gjessing, W. Xia, and K. Yang, “Toward cloud-based vehicular networks with efficient resource management,” Network, IEEE, vol. 27, no. 5, pp. 48–55, September 2013.
[26]	X. Li, X. Yu, A. Wagh, and C. Qiao, “Human factors-aware service scheduling in vehicular cyber-physical systems,” in INFOCOM, 2011 Proceedings IEEE, April 2011, pp. 2174–2182.
[27]	X. Fang, S. Misra, G. Xue, and D. Yang, “Smart grid - the new and improved power grid: A survey,” Communications Surveys Tutorials, IEEE, vol. 14, no. 4, pp. 944–980, Fourth 2012.
[28]	J. Zhou, R. Hu, and Y. Qian, “Scalable distributed communication architectures to support advanced metering infrastructure in smart grid,” Parallel and Distributed Systems, IEEE Transactions on, vol. 23, no. 9, pp. 1632–1642, Sept 2012.
[29]	M. Yigit, V. C. Gungor, and S. Baktir, “Cloud computing for smart grid applications,” Computer Networks, vol. 70, no. 0, pp. 312 – 329, 2014. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1389128614002382
[30]	S. Rusitschka, K. Eger, and C. Gerdes, “Smart grid data cloud: Amodel for utilizing cloud computing in the smart grid domain,” in Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on, Oct 2010, pp. 483–488.
[31]	Y. Simmhan, S. Aman, A. Kumbhare, R. Liu, S. Stevens, Q. Zhou, and V. Prasanna, “Cloud-based software platform for big data analytics in smart grids,” Computing in Science Engineering, vol. 15, no. 4, pp. 38–47, July 2013.
[32]	Y. Simmhan, A. Kumbhare, B. Cao, and V. Prasanna, “An analysis of security and privacy issues in smart grid software architectures on clouds,” in Cloud Computing (CLOUD), 2011 IEEE International Conference on, July 2011, pp. 582–589. http://www.sciencedirect.com/science/article/pii/S1389128609002047

Cite This Article

Plain Text BibTeX RIS

APA Style

Bo Shen. (2015). An Overview of Cloud-related Cyber-Physical Systems. International Journal of Data Science and Analysis, 1(2), 8-13. https://doi.org/10.11648/j.ijdsa.20150102.11

Copy | Download

ACS Style

Bo Shen. An Overview of Cloud-related Cyber-Physical Systems. Int. J. Data Sci. Anal. 2015, 1(2), 8-13. doi: 10.11648/j.ijdsa.20150102.11

Copy | Download

AMA Style

Bo Shen. An Overview of Cloud-related Cyber-Physical Systems. Int J Data Sci Anal. 2015;1(2):8-13. doi: 10.11648/j.ijdsa.20150102.11

Copy | Download

@article{10.11648/j.ijdsa.20150102.11,
  author = {Bo Shen},
  title = {An Overview of Cloud-related Cyber-Physical Systems},
  journal = {International Journal of Data Science and Analysis},
  volume = {1},
  number = {2},
  pages = {8-13},
  doi = {10.11648/j.ijdsa.20150102.11},
  url = {https://doi.org/10.11648/j.ijdsa.20150102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20150102.11},
  abstract = {Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technology in CPS becomes a natural choice. In the paper we survey recent CPS researches related to cloud computing. We firstly examine the works using CPS approach to model data centers. Then we briefly survey cloud-based CPS applications from two perspectives: intelligence transportation system and smart grid. This paper helps the researchers to get a quick overview of cloud-related CPS studies.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - An Overview of Cloud-related Cyber-Physical Systems
AU  - Bo Shen
Y1  - 2015/09/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijdsa.20150102.11
DO  - 10.11648/j.ijdsa.20150102.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 8
EP  - 13
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20150102.11
AB  - Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technology in CPS becomes a natural choice. In the paper we survey recent CPS researches related to cloud computing. We firstly examine the works using CPS approach to model data centers. Then we briefly survey cloud-based CPS applications from two perspectives: intelligence transportation system and smart grid. This paper helps the researchers to get a quick overview of cloud-related CPS studies.
VL  - 1
IS  - 2
ER  -

Copy | Download

Author Information

Bo Shen

School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, PR China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Bo Shen. (2015). An Overview of Cloud-related Cyber-Physical Systems. International Journal of Data Science and Analysis, 1(2), 8-13. https://doi.org/10.11648/j.ijdsa.20150102.11

Copy | Download

ACS Style

Bo Shen. An Overview of Cloud-related Cyber-Physical Systems. Int. J. Data Sci. Anal. 2015, 1(2), 8-13. doi: 10.11648/j.ijdsa.20150102.11

Copy | Download

AMA Style

Bo Shen. An Overview of Cloud-related Cyber-Physical Systems. Int J Data Sci Anal. 2015;1(2):8-13. doi: 10.11648/j.ijdsa.20150102.11

Copy | Download

@article{10.11648/j.ijdsa.20150102.11,
  author = {Bo Shen},
  title = {An Overview of Cloud-related Cyber-Physical Systems},
  journal = {International Journal of Data Science and Analysis},
  volume = {1},
  number = {2},
  pages = {8-13},
  doi = {10.11648/j.ijdsa.20150102.11},
  url = {https://doi.org/10.11648/j.ijdsa.20150102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20150102.11},
  abstract = {Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technology in CPS becomes a natural choice. In the paper we survey recent CPS researches related to cloud computing. We firstly examine the works using CPS approach to model data centers. Then we briefly survey cloud-based CPS applications from two perspectives: intelligence transportation system and smart grid. This paper helps the researchers to get a quick overview of cloud-related CPS studies.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - An Overview of Cloud-related Cyber-Physical Systems
AU  - Bo Shen
Y1  - 2015/09/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijdsa.20150102.11
DO  - 10.11648/j.ijdsa.20150102.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 8
EP  - 13
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20150102.11
AB  - Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technology in CPS becomes a natural choice. In the paper we survey recent CPS researches related to cloud computing. We firstly examine the works using CPS approach to model data centers. Then we briefly survey cloud-based CPS applications from two perspectives: intelligence transportation system and smart grid. This paper helps the researchers to get a quick overview of cloud-related CPS studies.
VL  - 1
IS  - 2
ER  -

Copy | Download