A machine learning based system for storing and processing big spatial-temporal data

• Project/Area Number: 16K16038
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Software
• Research Institution: The University of Aizu
• Principal Investigator: Li Peng 会津大学, コンピュータ理工学部, 准教授 (30735915)
• Project Period (FY): 2016-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000); Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000); Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
• Keywords: big data / spatial-temporal data / scheduling / traffic management / big data processing / cloud / ビッグデータ / クラウドコンピューティング

Outline of Final Research Achievements

During the past two years, we have developed a software prototype for storing and processing big spatial-temporal data. This system can automatically adjust configurations according to data characteristics.

Research Products

• [Journal Article] Vehicle-assist Resilient Information and Network System for Disaster Management (2017)
  • Author(s): Peng Li, Toshiaki Miyazaki, Kun Wang, Song Guo and Weihua Zhuang
  • Journal Title: IEEE Transactions on Emerging Topics in Computing Volume: none Issue: 3 Pages: 438-448
  • DOI: 10.1109/tetc.2017.2693286
  • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
• [Journal Article] Traffic-Aware Geo-Distributed Big Data Analytics with Predictable Job Completion Time (2017)
  • Author(s): Peng Li, Song Guo, Toshiaki Miyazaki, Xiaofei Liao, Hai Jin, Albert Y. Zomaya, and Kun Wang
  • Journal Title: IEEE Transactions on Parallel and Distributed Systems Volume: 28 Issue: 6 Pages: 1785-1796
  • DOI: 10.1109/tpds.2016.2626285
  • Peer Reviewed / Int'l Joint Research
• [Presentation] Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks (2018)
  • Author(s): Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo and Minyi Guo
  • Organizer: The 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • Int'l Joint Research
• [Presentation] Energy Management of Data Centers Powered by Fuel Cells and Heterogeneous Energy Storage (2018)
  • Author(s): Xiaoxuan Hu, Peng Li, Kun Wang, Yanfei Sun, Deze Zeng and Song Guo
  • Organizer: IEEE International Conference on Communications (ICC)
  • Int'l Joint Research
• [Presentation] Traffic-aware Task Placement with Guaranteed Job Completion Time for Geo-distributed Big Data (2017)
  • Author(s): Peng Li, Toshiaki Miyazaki, and Song Guo
  • Organizer: IEEE International Conference on Communications
  • Place of Presentation: Paris, France
  • Year and Date: 2017-05-21
  • Int'l Joint Research
• [Presentation] Big Data Synchronization among Isolated Data Servers in Disaster (2017)
  • Author(s): Kazuya Anazawa, Toshiaki Miyazaki, Peng Li, and Xiaoyan Wang
  • Organizer: IEEE Global Communications Conference (GLOBECOM)
  • Int'l Joint Research
• [Presentation] Traffic-aware Task Placement with Guaranteed Job Completion Time for Geo-distributed Big Data (2017)
  • Author(s): Peng Li, Toshiaki Miyazaki, and Song Guo
  • Organizer: IEEE International Conference on Communications (ICC)
  • Int'l Joint Research