Resilient Edge Cloud Designed Network: JUNO2

 

Proposal Full Title

Resilient Edge Cloud Designed Network

This program is run by National Science Foundation (NSF) and National Institute of Information and Communications Technology in international collaboration.

Research Organization

  • Kyushu Institute of Technology, Japan
  • City College of New York, United States

 

Funding Period

From September 2018 to August 2021 (3 years).

 

Researchers (Faculty staff)

Kyushu Institute of Technology

  • Kazuya Tsukamoto (Principal Investigator (PI))
  • Masato Tsuru (JP-US Coordinator)
  • Takeshi Ikenaga
  • Kenichi Kourai
  • Kenji Kawahara
  • Daiki Nobayashi
  • Masahiro Shibata
  • Kazumi Igarashi

 

City College of New York, City College

  • Tarek Saadawi – CUNY City College (PI)
  • Abbe Mowshowitz (Co-PI)
  • Myung Lee (Co-PI)
  • Akira Kawaguchi (Co-PI)

 

Pre-meeting (June 20, 2018)
Kickoff meeting (Oct. 26, 2018)

Mission

This proposal, entitled Resilient Edge Cloud Designed Network (RECN), aims to establish a vigorous partnership between City University of New York, City College (CCNY) in USA and Kyushu Institute of Technology (Kyutech) in Japan. On December 9, 2016, CCNY and Kyutech exchanged a memorandum of understanding (M.O.U) to promote joint research, exchange of academic material and academic publications, exchange of faculty members for research, discussions and lectures, and exchange of students for study and research. Since then the two institutions have been collaborating together.

Objective

The objective of the project is to conduct between the two Institutions collaborative and foundational research on a resilient edge cloud designed network to achieve basic understanding of the underlying science for future RECN. This work will cover issues of security, heterogeneity, resource constraints and potential mobility of end devices/sensors. A backbone network will be implemented and diversity of access network technologies, availability/placement of computing resources and Quality of Service (QoS) requirements will be examined. The RECN Group will focus on two key challenges:

  1. Architecture, Resource access, virtualized adaptable computing and networking, network security, and distributed database using hypercube
  2. Real-life, emulation and simulation of large scale Internet of Things (IoT) with application to smart grid

Research Items

As shown in Fig. 1, we have divided the effort into 4 tasks. The 4 tasks consists of Resilient Resource Access for Massive End Devices (Task1), Virtualized Adaptable Computing and Networking (Task2), Bio-Inspired Intrusion Detection System (BIOIDS) for Protecting Internet of Things Devices (Task3), and Distributed Database using Hypercube (Task4), while all tasks will be experimented on the testbed experiments with application to smart city and smart grid (Testbed Experiment). Each of the four tasks is being conducted by a team of researchers from the two partner institutions.

Research Items

Publication

Journal

  1. Nguyen Viet Ha and Masato Tsuru, ” Buffer Management for TCP/NC Tunnel in Lossy and Congested networks, ” IEICE Communications Express (ComEX) X8-B(12):530–535, December, 2019
  2. Kenichi Kourai and Kouta Sannomiya, “Flexible Service Consolidation with Nested Virtualization and Library Operating Systems, ” Software: Practice and Experience, vol. 50, Issue 1, pp. 3 – 21, December, 2019
  3. Keisuke Inokuchi and Kenichi Kourai, “Secure VM Management with Strong User Binding in Semi-Trusted Clouds, ” Journal of Cloud Computing, Volume 9, Article number 3, January, 2020
  4. Kazuya Tsukamoto, Hitomi Tamura, Yuzo Taenaka, Daiki Nobayashi, Hiroshi Yamamoto, Takeshi Ikenaga, and Myung Lee, “Geolocation-centric Information Platform for Resilient Spatio-temporal Contents Management,” IEICE Trans. on Communications, Online ISSN 1745-1345, Print ISSN 0916-8516, November, 2020
  5. Shumpei Yamasaki, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, and Myung Lee、”Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System, ” IEICE Transactions on Communications, Vol.E104-B, No.7, pp.805-816, January, 2021
  6. Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga and Myung Lee, “Transmission Control Method for Data Retention Taking into Account the Low Vehicle Density Environments, ” IEICE Transactions on Information and Systems, Vol.E104.D, No.4, pp.508-512, January, 2021
  7. Tri Minh Nguyen, Masahiro Shibata, and Masato Tsuru, “Effective Route Scheme of Multicast Probing to Locate High-loss Links in OpenFlow Networks, ” IPSJ Journal of Information Processing, vol. 29, pp. 115-123, February, 2021
  8. Shumpei Shimokawa, Yuzo Taenaka, Kazuya Tsukamoto, and Myung Lee, “SDN based in-network two-staged video QoE estimation with measurement error correction for edge network, ” IEEE Access Volume.9, pp.39733-39745, February, 2021
  9. Masayuki Kurata, Masahiro Shibata, and Masato Tsuru, “Coded-MPMC: One-to-many Transfer using Multipath Multicast with Sender Coding, ” IEEE Access Volume 9, pp. 49292- 49307, March, 2021
  10. Daiki Nobayashi, Ichiro Goto, Hiroki Teshiba, Kazuya Tsukamoto, Takeshi Ikenaga, Mario Gerla, “Adaptive Data Transmission Control for Spatio-temporal Data Retention over Crowds of Vehicles , ” IEEE Transactions on Mobile Computing, pp.1-1, March, 2021
  11. Nguyen Vu Linh, Nguyen Viet Ha, Masahiro Shibata, Masato Tsuru, “TDMA-based scheduling for multi-hop wireless sensor networks with 3-egress gateway linear topology, ” Volume 14, April, 2021

International conference

  1. Daiki Nobayashi, Kazuya Tsukamoto, and Takeshi Ikenaga, “Autonomous Data Transmission Control Based on Node Density for Multiple Spatio-temporal Data Retention, ” 2018 IEEE 7th International Conference on Cloud Networking (CloudNet), October, 2018, Tokyo, Japan
  2. Yuzo Taenaka and Kazuya Tsukamoto, “Elastic channel utilization against external radio interference on SDN-enabled multi-radio wireless backhaul networks, ” Proc. of IEEE International Conference on Cloud Networking (CloudNet) 2018, October, 2018, Tokyo, Japan
  3. Nguyen Viet Ha and Masato Tsuru, “TCP/NC performance in bi-directional loss environments, ” 2019 International Conference on Electronics, Information, and Communication (ICEIC), January, 2019, Auckland, New Zealand
  4. Nguyen Viet Ha and Masato Tsuru, “TCP with network coding performance under packet reordering, ” Advances in Internet, Data and Web Technologies, vol. 29, pp. 552 – 563, February, 2019, UAE
  5. Nguyen Minh Tri, Masato Tsuru, “Locating Deteriorated Links by Network-Assisted Multicast Proving on Open Flow Networks, ” Proc. the 24th IEEE Symposium on Computers and Communications, pp.701-706, July, 2019
  6. Tomonori Morikawa and Kenichi Kourai, “Low-cost and Fast Failure Recovery Using In-VM Containers in Clouds, ” Proc. DASC 2019, pp.572-579, August, 2019
  7. Kenichi Kourai and Yuji Shiota, “Consistent Offline Update of Suspended Virtual Machines in Clouds, ” The 4th IEEE Cyber Science and Technology Congress, pp.58-65, August, 2019
  8. Yuichi Ozaki, Sousuke Kanamoto, Hiroaki Yamamoto, and Kenichi Kourai, “Detecting System Failures with GPUs and LLVM”, The 10th ACM SIGOPS Asia-Pacific Workshop on Systems, pp.47-53, August, 2019
  9. Masayuki Kurata, Kenji Heira, Masahiro Shibata, and Masato Tsuru, “Minimizing One-to-Many File Transfer Times using Multipath-Multicast with Reed-Solomon Coding, ” The 31th Intl. Teletraffic Congress, pp. 115 – 116, August, 2019, Budapest, Hungary
  10. Yuji Muraoka and Kenichi Kourai, “Efficient Migration of Large-memory VMs Using Private Virtual Memory, ” The 11th International Workshop on Information Network Design, pp.380 – 389, September, 2019, Oita, Japan
  11. Shumpei Shimokawa, Takuya Kanaoka, Yuzo Taenaka, Kazuya Tsukamoto, and Myung Lee, “SDN-based time-domain error correction for in-network video QoE estimation in wireless networks, ” The 11th International Workshop on Information Network Design, pp.331 – 341, September, 2019, Oita, Japan
  12. Shumpei Yamasaki, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, and Myung Lee, “On-demand Transmission Interval Control Method for Spatio-Temporal Data Retention, ” The 11th International Workshop on Information Network Design, pp.319 – 330, September, 2019, Oita, Japan
  13. Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, and Myung Lee, “Transmission Control Method to Realize Efficient Data Retention in Low Vehicle Density Environments, ” The 11th International Workshop on Information Network Design, pp.390 – 401, September, 2019, Oita, Japan
  14. Arslan Qadeer, Myung J. Lee, and Kazuya Tsukamoto, “Real-timeMulti-resource Allocation via a Structured Policy Table, ” The 11th International Workshop on Information Network Design, pp.370 – 379, September, 2019, Oita, Japan
  15. Takumi Nakamura, Masahiro Shibata, and Masato Tsuru, “On Retrieval Order of Statistics Information from OpenFlow Switches to Locate Lossy Links by Network Tomographic Refinement, ” The 11th International Conference on Intelligent Networking and Collaborative Systems, pp. 342 – 351, September, 2019, Oita, Japan
  16. Kaoru Nagashima, Yuzo Taenaka, Akira Nagata, Katsuichi Nakamura, Hitomi Tamura, and Kazuya Tsukamoto, “Experimental Evaluation of Publish/Subscribe-based Spatio-Temporal Contents Management on Geo-Centric Information Platform, ” The 13th International Workshop on Advanced Distributed and Parallel Network Applications, pp. 396 – 405, September, 2019, Oita, Japan
  17. Nguyen Minh Tri, Syunya Nagata, and Masato Tsuru, “Locating Delay Fluctuation-Prone Links by Packet Arrival Intervals in OpenFlow Networks, ” The 20th Asia-Pacific Network Operations and Management Symposium, September, 2019, Shimane, Japan
  18. Ryota Kimura, Masahiro Shibata, and Masato Tsuru, “Scheduling for tandemly-connected sensor networks with heterogeneous link transmission rates, ” The 34th International Conference on Information Networking, pp. 590 – 595, January, 2020, Barcelona, Spain
  19. Suguro Goto, Masahiro Shibata, and Masato Tsuru, “Dynamic optimization of multicast active probing path to locate lossy links for OpenFlow networks, ” The 34th International Conference on Information Networking, pp. 628 – 633, January, 2020, Barcelona, Spain
  20. Nguyen Viet Ha, Le Van Hau, and Masaro Tsuru, “Dynamic ACK skipping in TCP with Network Coding for Power Line Communication Networks, ” IEEE Intl. Conf. Advanced Communications Technology, February, 2020, Pyeongchang, Korea
  21. Huseyn Huseynov, Kenichi Kourai, Tarek Saadawi, and Obinna Igbe, “Virtual Machine Introspection for Anomaly-Based Keylogger Detection, ” IEEE International Workshop on Network Function Virtualization, SDN, and Edge Computing, in conjunction with IEEE High Performance Swiching and Routing, May, 2020
  22. Kouki Yamato, Kenichi Kourai, and Tarek Saadawi “Transparent IDS Offloading for Split-memory Virtual Machines, ” The 44th IEEE Computers, Software, and Applications Conference, Proc. COMPSAC 2020, pp.833-838, July, 2020
  23. Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga and Myung Lee, “Beacon-less Autonomous Transmission Control Method for Spatio-Temporal Data Retention”, The 12th International Workshop on Information Network Design, WIND-2020, in conjunction with INCoS2020, pp 503-513, August, 2020
  24. Shumpei Shimokawa, Yuzo Taenaka, Kazuya Tsukamoto, and Myung Lee, “SDN-based in-network early QoE prediction for stable route selection on multi-path network, ” The 12th International Workshop on Information Network Design, WIND-2020, in conjunction with INCoS2020, August, 2020
  25. Kaoru Nagashima, Yuzo Taenaka, Akira Nagata, Hitomi Tamura, Kazuya Tsukamoto, Myung Lee, “Matching based content discovery method on Geo-Centric Information Platform, ” The 12th International Conference on Intelligent Networking and Collaborative Systems, pp. 470-479, September, 2020
  26. Kazi J. Ahmed, Marco Hernandez, Myung Lee, Kazuya Tsukamoto, “End-to-end Security for Connected Vehicles,” The 12th International Conference on Intelligent Networking and Collaborative Systems, pp 216-225, September, 2020
  27. Ryosuke Yoshida, Masahiro Shibata, and Masato Tsuru, “Transmission scheduling for tandemly-connected sensor networks with heterogeneous packet generation rates,” The 12th International Conference on Intelligent Networking and Collaborative Systems, pp. 437-446, September, 2020
  28. Kazumi Kumazoe and Masato Tsuru, “P4-based Implementation and Evaluation of Adaptive Early Packet Discarding Scheme,” The 12th International Conference on Intelligent Networking and Collaborative Systems, pp. 460-469, September, 2020
  29. Tokito Murata and Kenichi Kourai,”Efficient and Flexible Checkpoint/Restore of Split-memory Virtual Machines” International Conference on Computational Intelligence, October, 2020
  30. Linh Vu Nguyen, Masahiro Shibata, and Masato Tsuru, “Message transmission scheduling for multi-hop wireless sensor network with T-shaped topology”, Proceedings of the 15-th International Conference on Broadband and Wireless Computing, Communication and Applications, pp.120-130, October, 2020
  31. Takahiro Kashiwagi and Kenichi Kourai, “Flexible and Efficient Partial Migration of Split-memory VMs”, The 13th IEEE International Conference on Cloud Computing ,pp.248-257, October, 2020
  32. Tomoya Unoki and Kenichi Kourai,”VM Migration for Secure Out-of-band Remote Management with Nested Virtualization”, The 13th IEEE International Conference on Cloud Computing, pp.517-521, October, 2020
  33. Akira Kawaguchi, Abbe Mowshowitz and Masahiro Shibata, “Semi-Operational Data Reductions for Query Processing in Highly Distributed Data Environments, ” US-Japan binational research community Workshop on Programmable Networking, November, 2020
  34. Tarek Saadawi, Oluwaseyi Ajayi, Kenichi Kourai and Masato Tsuru, “Blockchain-based Architecture for Interdomain Cybersecurity Research, ” US-Japan binational research community Workshop on Programmable Networking, November, 2020
  35. A. Qadeer, M. Lee, D. Nobayashi and K. Tsukamoto, “International Collaborative Experiment for RL-based Multi-Resource Management on COSMIC Testbed, ” US-Japan binational research community Workshop on Programmable Networking, November, 2020
  36. Masayuki Kurata, Masahiro Shibata, and Masato Tsuru, “Experiments of Multipath Multicast One-to-many Transfer with RS coding over Wide-Area OpenFlow Testbed Network, ” Proceedings of the 1st International Conference on Emerging Technologies for Communications, December, 2020
  37. Kohei Ueki and Kenichi Kourai, “Fine-grained Autoscaling with In-VM Containers and VM Introspection, ” The 13th IEEE/ACM International Conference on Utility and Cloud Computing, pp.155-164, December, 2020
  38. Nguyen Minh Tri, Masahiro Shibata, Masato Tsuru, and Akira Kawaguchi, “Locating High-loss Links for OpenFlow Networks by Multiple Hosts to Probe Packets, ” Proceedings of the 23rd IEEE International Conference on Advanced Communications Technology, DOI:10.23919/ICACT51234.2021.9370812, 2021
  39. Nguyen Minh Tri, Nguyen Viet Ha, Masahiro Shibata, Masato Tsuru, and Akira Kawaguchi, “On Reducing Measurement Load on Control-Plane in Locating High Packet-Delay Variance Links for OpenFlow Networks, ” Proceedings of the 9th International Conference on Emerging Internet, Data & Web Technologies, pp.232-245, February, 2021
  40. Masayoshi Kondo, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga，”Path Schedulers Performance on Cellular/Wi-Fi Multipath Video Streaming, ” The Twelfth International Conference on Evolving Internet, July, 2021
  41. A. Qadeer, M. Lee and K. Tsukamoto, “Flow-level Dynamic Bandwidth Allocation in SDN-enabled Edge Cloud using Heuristic Reinforcement Learning, “8th IEEE Conference, on Future Internet of Things and Cloud, August, 2021

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