Advance reservation is an effective technique to realize end-to-end quality of service (QoS) guarantees for grid applications. However, excessive advance reservation will result in low resource utilization and high rejection rate on receiving new requests, which in turn reduces user’s QoS satisfaction. In this paper, a slack reservation strategy is proposed, with aiming to mitigate the negative effects brought about by conventional reservation service. The strategy is based on the observation that applications tend to overestimate reservation deadline to ensure their completion. It allows accepting new reservation requests that overlapping with existing ones under certain conditions. Both the benefits and risks of the proposed policy are presented theoretically. Experimental results show that the strategy can bring about remarkably higher resource utilization and lower rejection rate when the system is in presence of heavy reservation workload.
목차
Abstract 1. Introduction 2. Related Work 3. Slack Reservation Model 4. Analysis on Slack Reservation Strategy 4.1 Block Set 4.2. Risk Analysis 4.3. Benefit Analysis 5. Experiment and Performance Evaluation 5.1. Experimental Setting 5.2. Resource Utilization and Rejection Rate 5.3. Reservation Violation 6. Conclusion Acknowledgements References
키워드
Grid ComputingQuality of ServiceReservation ViolationTask Scheduling
저자
Peng Xiao [ College of Computer and Information Science, Hunan Institute of Engineering ]
Ning Han [ College of Computer and Information Science, Hunan Institute of Engineering ]
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.5 No.4