DOI QR코드

DOI QR Code

A Design of Cooperation Coordinator using Band-Cloud

  • Min, Seongwon (Department of Information System, Kwangwoon University Graduate School of Information Contents) ;
  • Lee, Jong-Yong (Ingenium College of liberal arts, KwangWoon University) ;
  • Jung, Kye-Dong (Ingenium College of liberal arts, KwangWoon University)
  • Received : 2017.04.08
  • Accepted : 2017.05.05
  • Published : 2017.06.30

Abstract

The Internet of Things(IoT) market is expected to grow from 15.5billion to 75.4 billion by 2015-2025. As the number of IoT devices increases, the amount of data that is sent to the cloud is increasing. Today's Cloud Computing models are not suited to handle the vast amount of data generated by IoT devices. In this paper, we propose a Cooperation Coordinator System that reduces server load and improved real-time processing capability under specific circumstances by using Band-Cloud. The cooperation coordinator system dynamically forms the cloud when cooperation is needed between mobile devices located near. It is called Band-Cloud. Band-Cloud provides services entrusted by Central Cloud. This paper describes the proposed system and shows the cooperation process using the Android-based mobile devices and Wi-Fi Direct technology. Such a system can be applied to cases where real-time processing is required in a narrow area such as a hospital ward or a school classroom.

Keywords

References

  1. IoT Platforms - Enabling the Internet of Things. https://www.ihs.com/Info/0416/internet-of-things.html.
  2. SKOUBY, Knud Erik; LYNGGAARD, Per. Smart home and smart city solutions enabled by 5G, IoT, AAI and CoT services. In: Contemporary Computing and Informatics (IC3I), 2014 International Conference on. IEEE, 2014. p. 874-878.
  3. AAZAM, Mohammad, et al. Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved. In: Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on. IEEE, 2014. p. 414-419.
  4. ARMBRUST, Michael, et al. A view of cloud computing. Communications of the ACM, 2010, 53.4: 50-58. https://doi.org/10.1145/1721654.1721672
  5. BOTTA, Alessio, et al. On the integration of cloud computing and internet of things. In: Future Internet of Things and Cloud (FiCloud), 2014 International Conference on. IEEE, 2014. p. 23-30.
  6. Functional architecture for Mobile Cloud. http://www.tta.or.kr/data/ttas_view.jsp?rn=1&pk_num=TTAK.KO-10.0971.
  7. TAO, Fei, et al. CCIoT-CMfg: cloud computing and internet of things-based cloud manufacturing service system. IEEE Transactions on Industrial Informatics, 2014, 10.2: 1435-1442. https://doi.org/10.1109/TII.2014.2306383
  8. AAZAM, Mohammad; HUH, Eui-Nam. Fog computing and smart gateway based communication for cloud of things. In: Future Internet of Things and Cloud (FiCloud), 2014 International Conference on. IEEE, 2014. p. 464-470.
  9. GUBBI, Jayavardhana, et al. Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 2013, 29.7: 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
  10. YANNUZZI, Marcelo, et al. Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing. In: Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014 IEEE 19th International Workshop on. IEEE, 2014. p. 325-329.
  11. HAO, Fang, et al. Enhancing dynamic cloud-based services using network virtualization. In: Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures. ACM, 2009. p. 37-44.
  12. MAROZZO, Fabrizio; TALIA, Domenico; TRUNFIO, Paolo. A peer-to-peer framework for supporting mapreduce applications in dynamic cloud environments. In: Cloud Computing. Springer London, 2010. p. 113-125.