상세검색
최근 검색어 전체 삭제
다국어입력
즐겨찾기0
학술대회자료

빅데이터 분석 및 머신러닝 서비스 제공을 위한 컨테이너 기반 HPC 클러스터 구축 방안

Container-based HPC Cluster System for BigData Analysis and Machine Learning Applications

  • 64
커버이미지 없음
※해당 콘텐츠는 기관과의 협약에 따라 현재 이용하실 수 없습니다.

Several fields of basic sciences such as meteorology, chemistry, and high-energy physics have required large-scale workloads. To support it, a high-performance system (HPC), which is optimized for parallel computing is widely used. Recently, due to the fourth industrial revolution, HPC computing resources are increasing demands in computer science fields such as big data analysis and machine learning. To support these new services, the existing HPC system has big troubles such as rigid SW configuration, high maintenance cost, and limited job type support. In this paper, we propose a container-based HPC cluster system architecture to solve these problems. The presented system architecture is used Docker for container execution and kubernetes as the container orchestration toolkit.

Abstract

1. 서론

2. 컨테이너 기반 클러스터 시스템

3. 결론

참고문헌

(0)

(0)

로딩중