DOI QR코드

DOI QR Code

Algorithms for Efficient Digital Media Transmission over IoT and Cloud Networking

  • Stergiou, Christos (Department of Applied Informatics, University of Macedonia) ;
  • Psannis, Kostas E. (Department of Applied Informatics, University of Macedonia) ;
  • Plageras, Andreas P. (Department of Applied Informatics, University of Macedonia) ;
  • Ishibashi, Yutaka (Department of Scientific and Engineering Simulation, Nagoya Institute of Technology) ;
  • Kim, Byung-Gyu (Department of IT Engineering, Sookmyung Women's University)
  • 투고 : 2018.01.31
  • 심사 : 2018.02.25
  • 발행 : 2018.03.30

초록

In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer new technologies were studied. Additionally, we have been studied the use of various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, the storage, the management, the processing, and the analysis of large volumes of data. The simulation platform which have been used for our research is CloudSim, which runs on Eclipse software. Thus, after measuring the network performance with CloudSim, we also use the Cooja emulator of the Contiki OS, with the aim to confirm and access more metrics and options. More specifically, we have implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of our experimental procedure show that there are not duplicated packets received during the procedure. This research could be a start point for better and more efficient media data transmission.

키워드

E1MTCD_2018_v5n1_27_f0001.png 이미지

Fig. 1. Cloud System Model.

E1MTCD_2018_v5n1_27_f0002.png 이미지

Fig. 2. Network Topology ([2a] and [2b]).

E1MTCD_2018_v5n1_27_f0003.png 이미지

Fig. 3. Power consumption of the proposed network.

E1MTCD_2018_v5n1_27_f0004.png 이미지

Fig. 4. Received Packets Per Node.

E1MTCD_2018_v5n1_27_f0005.png 이미지

Fig. 5. Timeline showing the packets received per mote (node)over time.

Table 1. Cloud Servers Configuration

E1MTCD_2018_v5n1_27_t0001.png 이미지

Table 2. Power Consumption Information in Watt.

E1MTCD_2018_v5n1_27_t0002.png 이미지

Table 3. Virtual Machine Configuration

E1MTCD_2018_v5n1_27_t0003.png 이미지

Table 4. Cloudlet Parameters.

E1MTCD_2018_v5n1_27_t0004.png 이미지

참고문헌

  1. M. Aazam, E.-N. Huh, M. St-Hilaire, C.-H. Lung, I. Lambadaris, "Cloud of Things: Integration of IoT with Cloud Computing" Springer, Robots and Sensor Clouds, vol. 36, pp. 77-94, August 2015.
  2. C. Stergiou, K. E. Psannis, B.-G. Kim, B. B. Gupta, "Secure integration of IoT and Cloud Computing", Elsevier, Future Generation Computer Systems, vol. 78, part 3, pp. 964-975, January 2018. https://doi.org/10.1016/j.future.2016.11.031
  3. S. Sakr, A. Liu, D. M. Batista, M. Alomari, "A survey of large scale data management approaches in cloud environments", IEEE Communications Surveys & Tutorials, vol. 13, issue 3, pp. 311-336, April 2011. https://doi.org/10.1109/SURV.2011.032211.00087
  4. R. Kaur, S. Kinger, "Analysis of Security Algorithms in Cloud Computing", International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol. 3, issue. 3, pp. 171-176, March 2014.
  5. S. H. H. Madni, M. S. A. Latif, Y. Coulibaly, Shafi'i M. Abdulhamid, "Resource scheduling for infrastructure as a service (IaaS) in cloud computing: Challenges and opportunities", Journal of Network and Computer Applications, vol. 68, pp. 173-200, June 2016. https://doi.org/10.1016/j.jnca.2016.04.016
  6. C. Stergiou, K. E. Psannis, A. P. Plageras, Y. Ishibashi, B. B. Gupta, B.-G. Kim, "Architecture for security monitoring in IoT environments", in Proceedings of IEEE 26th International Symposium on Industrial Electronics (ISIE), Edinburgh, Scotland (UK), 19-21 June, 2017.
  7. A. P. Plageras, C. Stergiou, G. Kokkonis, K. E. Psannis, Y. Ishibashi, B.-G. Kim, B. B. Gupta, "Efficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Things", in Proceedings of 19th IEEE Conference on Business Informatics, International Workshop on Internet of Things and Smart Services, Thessaloniki, Greece, 24-26 July, 2017.
  8. C. Stergiou, K. E. Psannis, "Efficient and Secure Big Data delivery in Cloud Computing", Springer, Multimedia Tools and Applications, vol. 76, issue: 21, pp. 22803-22822, November 2017. https://doi.org/10.1007/s11042-017-4590-4
  9. F. Tao, Y. Cheng, L. D. Xu, L. Zhang, B. H. Li, "CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System", IEEE Transactions on Industrial Informatics, vol. 10, issue: 2, pp. 1435-1442, May 2014. https://doi.org/10.1109/TII.2014.2306383
  10. M. Hilbert, P. Lopez, "The World's Technological Capacity to Store, Communicate, and Compute Information", Science, vol. 332, issue: 6025, pp. 60-65, April 2011. https://doi.org/10.1126/science.1200970
  11. A. P. Plageras, K. E. Psannis, Y. Ishibashi, B.-G. Kim, "IoT-based Surveillance System for Ubiquitous Healthcare", in Proceedings of IEEE 42nd Annual Conference of Industrial Electronics Society (IECON 2016), Florence, Italy, 23-26 October 2016.
  12. A. P. Plageras, C. Stergiou, K. E. Psannis, B.-G. Kim, B. B. Gupta, Y. Ishibashi, "Solutions for Inter-connectivity and Security in a Smart Hospital Building", in Proceedings of IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, Germany, 24-26 July, 2017.
  13. C. Stergiou, K. E. Psannis, "Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey", Wiley, International Journal of Network Management, vol. 27, issue: 3, pp. 1-12, May/June 2016.
  14. L. Nkenyereye, J. Jang, "Design of Data Center Environmental Monitoring System Based On Lower Hardware Cost", Journal of Multimedia and Information System, Vol. 3, No. 3, pp. 63-68, October 2016. https://doi.org/10.9717/JMIS.2016.3.3.63
  15. J.-H. Huh, K. Seo, "PLC-Based Smart grid Home Network System Design and Implementation using OPNET Simulation", Journal of Multimedia and Information System, Vol. 1, No. 2, pp. 111-118, December 2014.
  16. J.-H. Huh, Y. Kim, K. Seo, "Power Aware Routing Protocol in Multimedia Ad-hoc Network Considering Hop Lifetime of Node", Vol. 1, No. 2, pp. 101-110, December 2014.
  17. M. Zheng, W. Wang, "Distributed Multimedia Scheduling in the Cloud", Journal of Multimedia and Information System, Vol. 2, No. 1, pp. 143-152, March 2015. https://doi.org/10.9717/jmis.2015.2.1.143
  18. P. Fiadino, P. Casas, A. D'Alconzo, M. Schiavone, A. Baer. "Grasping Popular Applications in Cellular Netwoks with Big Data Analytics Platform", IEEE Transactions on Network and Service Management, vol. 13, issue: 3, pp. 681-695, September 2016. https://doi.org/10.1109/TNSM.2016.2558839
  19. B. Lin, W. Guo, N. Xiong, G. Chen, A. V. Vasilakos, H. Zhang. "A Pretreatment Workflow Scheduling Approach for Big Data Applications in Multi-cloud Environments", IEEE Transactions on Network and Service Management, vol. 13, issue: 3, pp. 681-695, September 2016. https://doi.org/10.1109/TNSM.2016.2558839
  20. L. Zuo, M. M. Zhu, "Concurrent Bandwidth Reservation Strategies for Big Data Transfers in High-Performance Networks", IEEE Transactions on Network and Service Management, vol. 12, issue: 2, June 2015.
  21. B. Djellali, P. Lorenz, K. Balarbi, A. Chouarfia. "Security Model for Pervasive Multinedia Environment", Journal of Multimedia Information System, Vol. 1, No. 1, pp. 23-43, September 2014.
  22. Y. Chao-Tung, L. Jung-Chun, C. Shuo-Tsung, H. Kuan-Lung, "Virtual machine management system based on the power saving algorithm in cloud", Journal of Network and Computer Applications. vol. 80, pp. 165-180, February 2017. https://doi.org/10.1016/j.jnca.2016.11.026
  23. T. Fei, Y. Lei, L. Tianrui, D. Danting, "Energy efficiency of VM consolidation in IaaS clouds", The Journal of Supercomputing. Vol. 73, issue: 2, pp. 782-809, February 2017. https://doi.org/10.1007/s11227-016-1797-5
  24. Q. Nguyen, T. Nam, T. "Minimizing Total Busy Time with Application to Energy-efficient Scheduling of Virtual Machines in IaaS clouds", in Proceedings of International Conference on Advanced Computing and Applications, pp. 141-148, Can Tho, Vietnam, 23-25 November 2016.
  25. B. Dinh-Mao, Y. YongIk, H. Eui-Nam, J. SungIk, "Energy efficiency for cloud computing system based on predictive optimization", Journal of Parallel and Distributed Computing, Vol. 102, pp. 103-114, April 2017. https://doi.org/10.1016/j.jpdc.2016.11.011