상세정보
학술대회
Transform-based Lossy Compression for HPC Big Datasets
- 발행일
- 202110
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1345-134
- 협약과제
- 21JD1100, 유연인쇄전자 신전자산업 기술개발, 문애경
- 초록
- As many IoT devices generate an enormous and varied amount of data that need to be processed in a brief space of time, storing and processing IoT big data becomes a huge challenge. While lossy compression can drastically reduce data volume, finding an optimal balance between volume reduction and information loss is not an easy task. Motivated by this, we analyze the characteristics of data compressed and present relationships between compression ratio and data characteristics to use an effective lossy compression algorithms.
- KSP 제안 키워드
- Big Data, Compression Algorithm, Data Volume, Data characteristics, Information Loss, IoT Devices, Lossy Compression, Volume reduction, compression ratio