Table of Contents Author Guidelines Submit a Manuscript
Security and Communication Networks
Volume 2017, Article ID 2376484, 15 pages
https://doi.org/10.1155/2017/2376484
Research Article

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

1School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
2Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China
3State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
4Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
5School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China

Correspondence should be addressed to Wanchun Dou; nc.ude.ujn@cwuod

Received 17 August 2017; Accepted 24 September 2017; Published 8 November 2017

Academic Editor: Md Z. A. Bhuiyan

Copyright © 2017 Xiaolong Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Heidrich, A. Trendowicz, and C. Ebert, “Exploiting big data's benefits,” IEEE Software, vol. 33, no. 4, pp. 111–116, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. X. Wu, X. Zhu, G.-Q. Wu, and W. Ding, “Data mining with big data,” IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, pp. 97–107, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. L. Mertz, “What can big data tell us about health? Finding gold through data mining,” IEEE Pulse, vol. 7, no. 5, pp. 40–44, 2016. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Li, Z. Xu, Y. Jiang, and R. Zhang, “The overview of big data storage and management,” in Proceedings of the 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI-CC 2014, pp. 510–513, London, UK, August 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. Q. Liu, W. Cai, J. Shen, Z. Fu, X. Liu, and N. Linge, “A speculative approach to spatial‐temporal efficiency with multi‐objective optimization in a heterogeneous cloud environment,” Security and Communication Networks, vol. 9, no. 17, pp. 4002–4012, 2016. View at Publisher · View at Google Scholar
  6. E. Chovancová, L. Vokorokos, and M. Chovanec, “Cloud computing system for small and medium corporations,” in Proceedings of the 13th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2015, pp. 171–174, svk, January 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. K. Peng, R. Lin, B. Huang, H. Zou, and F. Yang, “Link importance evaluation of data center network based on maximum flow,” Journal of Internet Technology, vol. 18, no. 1, pp. 23–31, 2017. View at Publisher · View at Google Scholar · View at Scopus
  8. B. Nelson and T. Olovsson, “Security and privacy for big data: A systematic literature review,” in Proceedings of the 4th IEEE International Conference on Big Data, Big Data 2016, pp. 3693–3702, usa, December 2016. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Yu, “Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data,” IEEE Access, vol. 4, pp. 2751–2763, 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. C. Perera, R. Ranjan, and L. Wang, “End-to-end privacy for open big data markets,” IEEE Cloud Computing, vol. 2, no. 4, pp. 44–53, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. H. M. Musse and L. A. Alamro, “Cloud Computing: Architecture and Operating System,” in Proceedings of the 2016 Global Summit on Computer & Information Technology (GSCIT), pp. 3–8, Sousse, Tunisia, 2016.
  12. A. Sill, “Standards for Hybrid Clouds,” IEEE Cloud Computing, vol. 3, no. 1, pp. 92–95, 2016. View at Publisher · View at Google Scholar · View at Scopus
  13. W. Fan, J. Peng, X. Zhang, and Z. Huang, “Genetic Based Data Placement for Geo-Distributed Data-Intensive Applications in Cloud Computing,” in Advances in Services Computing, Springer International Publishing, 2016. View at Google Scholar
  14. L. Jiao, J. Lit, W. Du, and X. Fu, “Multi-objective data placement for multi-cloud socially aware services,” in Proceedings of the 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014, pp. 28–36, Toronto, Canada, May 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. B. Yu and J. Pan, “Location-aware associated data placement for geo-distributed data-intensive applications,” in Proceedings of the 34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015, pp. 603–611, hkg, May 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. X. Xu, W. Dou, X. Zhang, and J. Chen, “EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment,” IEEE Transactions on Cloud Computing, vol. 4, no. 2, pp. 166–179, 2016. View at Publisher · View at Google Scholar · View at Scopus
  17. W. Dou, X. Xu, S. Meng et al., “An energy-aware virtual machine scheduling method for service QoS enhancement in clouds over big data,” Concurrency Computation, vol. 29, no. 14, Article ID e3909, 2016. View at Publisher · View at Google Scholar · View at Scopus
  18. X. Xu, W. Wang, T. Wu, W. Dou, and S. Yu, “A Virtual Machine Scheduling Method for Trade-Offs Between Energy and Performance in Cloud Environment,” in Proceedings of the 4th International Conference on Advanced Cloud and Big Data, CBD 2016, pp. 246–251, chn, August 2016. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Zhao, Y. Li, S. Lu, I. Raicu, and C. Lin, “Devising a Cloud Scientific Workflow Platform for Big Data,” in Proceedings of the 2014 IEEE World Congress on Services (SERVICES), pp. 393–401, Anchorage, AK, USA, June 2014. View at Publisher · View at Google Scholar
  20. L. Qi, X. Xu, X. Zhang et al., “Structural balance theory-based E-commerce recommendation over big rating data,” IEEE Transactions on Big Data, 2016. View at Publisher · View at Google Scholar
  21. X. Xu, W. Dou, X. Zhang, C. Hu, and J. Chen, “A traffic hotline discovery method over cloud of things using big taxi GPS data,” Software: Practice and Experience, vol. 47, no. 3, pp. 361–377, 2017. View at Publisher · View at Google Scholar · View at Scopus
  22. S. Agarwal, J. Dunagan, N. Jain, S. Saroiu, A. Wolman, and H. Bhogan, “Automated Data Placement for Geo-Distributed Cloud Services. Usenix Symposium on Networked Systems Design and Implementation,” in Proceedings of the NSDI, pp. 17–32, San Jose , Calif, Usa, 2010.
  23. B. Yu and J. Pan, “Sketch-based data placement among geo-distributed datacenters for cloud storages,” in Proceedings of the 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016, San Francisco, Calif, USA, April 2016. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Su, L. Zhang, Y. Wu, K. Chen, and K. Li, “Systematic data placement optimization in multi-cloud storage for complex requirements,” Institute of Electrical and Electronics Engineers. Transactions on Computers, vol. 65, no. 6, pp. 1964–1977, 2016. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  25. K. Bakshi, “Secure hybrid cloud computing: Approaches and use cases,” in Proceedings of the 2014 IEEE Aerospace Conference, Big Sky, Mon, USA, March 2014. View at Publisher · View at Google Scholar · View at Scopus
  26. L. F. Bittencourt, E. R. M. Madeira, and N. L. S. Da Fonseca, “Scheduling in hybrid clouds,” IEEE Communications Magazine, vol. 50, no. 9, pp. 42–47, 2012. View at Publisher · View at Google Scholar · View at Scopus
  27. Z. Zhou, H. Zhang, X. Du, P. Li, and X. Yu, “Prometheus: privacy-aware data retrieval on hybrid cloud,” in Proceedings of the 32nd IEEE Conference on Computer Communications (IEEE INFOCOM '13), pp. 2643–2651, April 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. X. Huang and X. Du, “Achieving big data privacy via hybrid cloud,” in Proceedings of the 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014, pp. 512–517, can, May 2014. View at Publisher · View at Google Scholar · View at Scopus
  29. J. K. Wang and X. Jia, “Data security and authentication in hybrid cloud computing model,” in Proceedings of the 2012 IEEE Global High Tech Congress on Electronics, GHTCE 2012, pp. 117–120, chn, November 2012. View at Publisher · View at Google Scholar · View at Scopus
  30. H. Abrishami, A. Rezaeian, G. K. Tousi, and M. Naghibzadeh, “Scheduling in hybrid cloud to maintain data privacy,” in Proceedings of the 5th International Conference on Innovative Computing Technology, INTECH 2015, pp. 83–88, Galicia, Spain, May 2015. View at Publisher · View at Google Scholar · View at Scopus
  31. B. Zhou, F. Zhang, J. Wu, and Z. Liu, “Cost Reduction in Hybrid Clouds for Enterprise Computing,” in Proceedings of the 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 270–274, Atlanta, GA, USA, June 2017. View at Publisher · View at Google Scholar
  32. X. Qiu, W. L. Yeow, C. Wu, and F. C. M. Lau, “Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds,” in Proceedings of the 2013 IEEE/ACM 21st International Symposium on Quality of Service, IWQoS 2013, pp. 213–218, Montreal, Canada, June 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. A. Zinnen and T. Engel, “Deadline constrained scheduling in hybrid clouds with Gaussian processes,” in Proceedings of the 2011 International Conference on High Performance Computing and Simulation, HPCS 2011, pp. 294–300, tur, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  34. K. Bakshi, “Secure hybrid cloud computing: Approaches and use cases,” in Proceedings of the 2014 IEEE Aerospace Conference, pp. 1–8, Big Sky, Mon, USA, March 2014. View at Publisher · View at Google Scholar · View at Scopus