Ryuji Oma

Department of Advanced Sciences

Graduate School of Science and Engineering

Hosei University



Research Area

An Energy-efficient Models of Fog Computing System

    Various types and huge number of devices like sensors and actuators are interconnected with clouds of servers in IoT (Internet of Things). Here, a large volume of data including multimedia data like image created by sensors are transmitted to servers in clouds through networks. Processes in servers decide on actions and send the actions to actuators under time constraints like realtime one. However, huge volume of data are transmitted in networks and servers are heavily loaded. An intermediate layer named fog layer is introduced between clouds and devices in IoT to overcome the difficulties. Processing to be done and data to be stored in servers are distributed to fog nodes while centralized on servers in clouds in traditional cloud computing systems. We would like to propose the total electric energy of the fog computing model is smaller than the cloud computing model.

    Journal Papers


  1. R. Oma, S. Nakamura, D. Duolikun, T. Enokido, and M. Takizawa, "An Energy-Efficient Model for Fog Computing in the Internet of Things (IoT),"
     Internet of Things, Vol.1-2, Sept. 2018, pp.14-26, DOI:10.1016/j.iot2018.08.003.

    International Conference Papers


  1. R. Oma, S. Nakamura, T. Enokido, and M. Takizawa, "Hybrid Replication Schemes of Processes in Energy-efficient Server Clusters,"
     Proc. of the 20th International Conference on Network-based Information Systems (NBiS-2017), Toront, Canada, Aug. 2017, pp.699-710, 2017.

  2. R. Oma, S. Nakamura, T. Enokido, and M. Takizawa, "Hybrid Replication Schemes of Processes for Fault-tolerance Systems in Energy-efficient Server Clusters,"
     Proc. of the 12th International Conference on Broadband and Wireless Computing, Communication and Apprications (BWCCA-2017), Barcelona, Spain, Nov. 2017, pp.597-607, 2017.

  3. R. Oma, S. Nakamura, T. Enokido, and M. Takizawa, "An Energy-efficient Model of Fog and Device Nodes in IoT,"
    Proc. of the 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA-2018), Cracow, Poland, May 2018, pp.301-306.

  4. R. Oma, S. Nakamura, T. Enokido, and M. Takizawa, "A Tree-based Model of Energy-efficient Fog Computing Systems in IoT,"
     Proc. of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018), Matsue, Japan, July 2018, pp.991-1001, 2018.

  5. R. Oma, S. Nakamura, D. Duolikun, T. Enokido, and M. Takizawa, "Evaluation of an Energy-Efficient Tree-Based Model of Fog Computing,"
     Proc. of the 21st International Conference on Network-Based Information Systems (NBiS-2018), Bratislava, Slovakia, Sept. 2018, pp.99-109.

  6. R. Oma, S. Nakamura, D. Duolikun, T. Enokido, and M. Takizawa, "Fault-Tolerant Fog Computing Models in the IoT,"
    Proc. of the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2018), Taichung, Taiwan, Oct. 2018, pp.14-25.


Last update May.22 2018.
Copyright 2015 Distributed Systems Laboratory at Hosei University.