Research of Self-Adapted Scheduling Policies for Supercomputer Computing Resource Based on Service Differentiation

Qiang Zhang; Hua Ling Lin; Pei Yi Zhou; Jiang Jie Song

doi:10.4028/www.scientific.net/AMM.263-266.735

Paper Titles

Optimizing of Thermal Cycler Control in Microfluidic PCR System
p.713

Regulator Strategies for Switched Reluctance Generators Based on Direct Energy Control
p.718

Reliability Analysis of a Two-Unit System with Connecting and Disconnecting Effect
p.723

Research and Application of Voice Chip in Pedestrian Voice Unit of Electric Vehicles
p.731

Research of Self-Adapted Scheduling Policies for Supercomputer Computing Resource Based on Service Differentiation
p.735

Research on Expert System of High-Speed Plane Lapping Machine with NC Based on Network Knowledge Acquisition
p.740

Research on Observability of Non-Maneuvering Target Tracking Based on Multiple Observers Range-only
p.744

Simulation on an Experimental System for the Dynamic Characteristics of Safety Valves with High Pressure and Large Flow Rate
p.748

Study on the Acceleration Process of Water-Jet Propulsion Ship
p.756

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Research of Self-Adapted Scheduling Policies for...

Research of Self-Adapted Scheduling Policies for Supercomputer Computing Resource Based on Service Differentiation

Abstract:

The scheduling of supercomputer resource can greatly affect the computing speed of simulation and improve the efficiency of resource. This paper raise a design of resource scheduling architecture, which has centralized- control and distributed agent design. Aiming at the importance of tasks, a self-adapted scheduling policy way of computing resource is presented, which is used for service differentiation. Then key algorithms are described. Finally, simulation results prove the effect of our policy design.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

735-739

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.735

Citation:

Cite this paper

Online since:

December 2012

Authors:

Qiang Zhang, Hua Ling Lin, Pei Yi Zhou, Jiang Jie Song

Keywords:

Policy, Scheduling, Self-Adapted, Simulation, Supercomputer

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J.Mark Bull, Chris Johnson. Data Distribution, Migration and Replication on a cc-NUMA Architecute[M]. University of Edinburgh, Scotland, UK.

Google Scholar

[2] Jun Zhang, Zhengbin Pang, Yi Zheng, et al. Design and Implementation of a Block Transfer Communication Mechanism in CC-NUMA Systems[J]. Journal of Computer Engineering & Science, 2008,vol1.

Google Scholar

[3] Ruilu Yi, Fei Hu, Shuiqin Xi, et al. Distributed Parallel Computing Based on LSF Cluster System[J]. Measurement & Control Technology, 2006,vol25(7).

Google Scholar

[4] Yutong Lu, Min Zhu, Zhiyu Shen. Research on Resource Management Structure of Large Scale Parallel Computing. The 7th National Parallel Computing Conference. Chengdu, 2003.

Google Scholar

[5] Ruisheng Miao, Xianming Ju, Jiasheng Wu. Missile Aerodynamics[M]. National Defense Industry Press,2006.01.

Google Scholar

[6] Li Wan. Solutions for Transient Dynamics CAE& Example Tutorials of MSC.Dytran[M]. Peking University Press, Nov, 2004.

Google Scholar

[7] Zepeng Wang. ANSYS 13.0/LS-DYNA Example Tutorials of Nonlinearized Finite Element Analysis[M]. China Machine Press, 2011.

Google Scholar