GRID environments are privileged targets for computation-intensive problem solving in areas from weather forecasting to seismic analysis. Mainly composed by commodity hardware, these environments can deliver vast computational capacity, at relatively low cost. In order to take full advantage of their power we need to have efficient task schedulers with the ability to maximize resource effectiveness, shortening execution times. GRID schedulers must not only decide taking a snapshot of the GRID status into account, but should also consider the output involved in past decisions. In this work, we intend to show how resource usage can be analyzed, through the use of data mining techniques, to predict performance availability of a GRID environment, as a preliminary work to increase scheduling efficiency as well as adequate resource provisioning.
목차
Abstract 1. Introduction 2. Executing Tasks on a GRID 3. Evaluating the Performance of a GRID 4. The Performance Prediction Models 5. Conclusions and Future Work References
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
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 Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing vol.3 no.1