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ASUSA Delivers Innovation

R&D is absolutely necessary to responding to unforeseen and competitive business environments.
Today, ASUSA focuses mainly on optimizing distributed systems. We are passionate about putting our researches into practical use, and strongly believe our researches will play a critical role in the future computer technology.

Our Projects

RNCDDS (Random Network Coded Distributed Data System)

Many Random Network Coding based storage systems have been proposed to increase robustness in terms of data preservation and storage efficiency. However, there are two major practical issues: (1) slow encoding and decoding speeds and (2) difficult access to the data. In this paper, RNCDDS solves problem (1) by introducing a new and efficient Galois Field arithmetic library and problem (2) by employing a new JavaScript program. As a result, RNCDDS is not only theoretically more robust and storage efficient than major distributed data systems such as Hadoop (HDFS) and GlusterFS, but also outperforms them in all speed measurements. Also, the proposed JavaScript program enables easy data fetch through a web browser including watching a video with an HTML5 video player and has potential for drastically reducing data storage amount in a cloud system or Content Delivery Network.

RNCDDS - RANDOM NETWORK CODED DISTRIBUTED DATA SYSTEM
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gf-nishida-16

gf-nishida-16 is an efficient 16bit Galois field arithmetic library that is open source and outperforms other open source Galois field arithmetic libraries in processing speed. gf-nishida-16 is the core of RNCDDS and plays the most important role in its fast encoding and decoding. Please see our technical paper "gf-nishida-16: Simple and Efficient GF(216) Arithmetic Library" for further details.

About US

Dr. Hiroshi Nishida
President & COO

Academic Background

  • BE: Precision Mechanics, Kyoto University, AI, Neural Network
  • MS: Computer Science, California State Polytechnic University Pomona, Parallel & Distributed Systems
  • PhD: Computer Science, Oregon State University, Parallel & Distributed Systems, Optimization


Published Journal Articles
H. Nishida and T. Nguyen, "A Global Contribution Approach to Maintain Fairness in P2P Networks," in IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 6, pp. 812-826, June 2010.
doi: 10.1109/TPDS.2009.122

H. Nishida and T. Nguyen, "Optimal Client-Server Assignment for Internet Distributed Systems," in IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 3, pp. 565-575, March 2013.
doi: 10.1109/TPDS.2012.169

Published Conference Papers
H. Nishida and T. Nguyen, "Optimal Client-Server Assignment for Internet Distributed Systems," 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN), Maui, HI, 2011, pp. 1-6.
doi: 10.1109/ICCCN.2011.6006007

H. Nishida and H. Kuang, "Experiments on Asynchronous Partial Gauss-Seidel Method," in Advanced Parallel Processing Technologies. APPT 2005. Lecture Notes in Computer Science, vol 3756, pp. 111-120, 2005

H. Nishida and T. Nguyen, "RNCDDS - Random Network Coded Distributed Data System", to appear in the 2017 IEEE International Conference on Multimedia and Expo (ICME 2017)


Contact

  • 530 Center St. NE, Ste #160, Salem, Oregon 97301, USA
  • info@asusa.net
  • asusa.com
    parent company: asj.ad.jp