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Towards a Next Generation Distributed Middleware System for Many-Task Computing

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.7 No.4 (2013.07)바로가기
  • 페이지
    pp.379-388
  • 저자
    Jik-Soo Kim, Sangwan Kim, Seokkyoo Kim, Seoyoung Kim, Seungwoo Rho, Ok-Hwan Byeon, Soonwook Hwang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A208546

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원문정보

초록

영어
Distributed computing systems have evolved over decades to support various types of scientific applications and overall computing paradigms have been categorized into HTC (High-Throughput Computing) to support bags of tasks which are usually long running, HPC (High-Performance Computing) for processing tightly-coupled communication-intensive tasks on top of dedicated clusters of workstations or Supercomputers, and Data-intensive Computing leveraging distributed storage systems and parallel processing frameworks. Many-Task Computing (MTC) aims to bridge the gap between traditional HTC and HPC by building efficient middleware systems throughout employing lightweight task dispatching mechanisms, minimizing data movements, leveraging data-aware scheduling, and proposing of next generation Exascale storage systems. Recent emerging applications requiring millions or even billions of tasks to be processed with relatively short per task execution times have driven this new computing paradigm. In this paper, we investigate concepts and technologies of MTC and propose guidelines for building an efficient and effective middleware system to fully support MTC applications. Throughout our short survey about challenges, systems and applications of MTC, we argue that a next generation distributed middleware system must effectively leverage distributed file systems, parallel processing frameworks, decentralized data/compute management systems, and dynamic load balancing techniques to solve the most challenging and complex scientific problems.

목차

Abstract
 1. Introduction
 2. MTC: Challenges, Systems and Applications
 3. Conclusion
 References

키워드

High-Throughput Computing High-Performance Computing Many-Task Computing Data-intensive Computing Middleware System

저자

  • Jik-Soo Kim [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Sangwan Kim [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Seokkyoo Kim [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Seoyoung Kim [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Seungwoo Rho [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Ok-Hwan Byeon [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]
  • Soonwook Hwang [ National Institute of Supercomputing and Networking, Korea Institute of Science and Technology Information (KISTI) ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.7 No.4

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