基于仿真建模的设备网格技术研究

摘要/Abstract

摘要： 通过网络共享，分布在各地的仪器设备可以显著提高资源的易访问性和利用率。针对目前实现设备资源网上共享所存在的各种问题，提出一种基于仿真建模的多层设备网格体系结构，介绍了设计原理、基本框架，并给出网络层、资源协议层、资源封装层、中间件层、仿真建模层、应用层、网格门户和安全机制等具体实现技术。其核心是建立共享仪器的仿真模型作为其虚拟映像，通过仿真模型实现设备资源远程访问、管理以及优化调度，克服了通过网络共享不同类型仪器设备的困难。在“211工程”项目——全国高校仪器设备和优质资源共享系统设计中的应用效果验证了所提出的设备网格技术的有效性和可行性。

关键词: 设备网格, 仿真模型, 资源调度, 资源共享

Abstract: The distributed instruments and equipments sharing via network can improve accessibility and utilization remarkably. Taking into consideration of various problems to realize equipment resources sharing on network, a multi-layer equipment grid architecture based on the idea of simulation and modeling was put forward. The design principles and basic framework were discussed. Its implementation technologies for equipment grid were given, such as network layer, protocol layer, resource encapsulation layer, middleware layer, simulation and modeling layer, application layer, grid portal， and security mechanism, etc. The core approach was to build simulation model for shared equipments as their virtual images, which were used to access, manage and schedule remote resources to solve the problem of different types equipments sharing via network. Its efficiency and feasibility were proved with good performance in the one of ‘211 Project’-National University Equipment and Resource Sharing System.

Key words: equipment grid, simulation model, resource scheduling, resource sharing

中图分类号:

TP393

王跃宣，吴澄，胡昔祥，刘连臣. 基于仿真建模的设备网格技术研究[J]. .

WANG Yue-xuan, WU Cheng, HU Xi-xiang, LIU Lian-chen. Study of equipment grid based on simulation and modeling[J]. .

参考文献

[1]FOSTER I, KESSELMAN C,TUECKE S.The anatomy of the grid:enabling scalable virtual organizations[J]. Supercomputer Applications, 2001,15(3):1-24.

[2]FOSTER I, KESSELMAN C. Globus:a metacomputing infrastructure toolkit [J]. Supercomputer Applications,1997,11(2):115-128.

[3]GRIMSHAW A S, WULF W A. The legion vision of a worldwide virtual computer[J]. Communications of the ACM, 1997,40(1):39-45.

[4]LITZKOW M J, LIVNY M, MUTKA M, et al.A hunter of idle workstations[A]. 8th International Conference on Distributed Computing Systems[C].1988.104-111.

[5]SEGAL B. Grid computing:the european data project[A]. IEEE Nuclear Science Symposium and Medical Imaging Conference[C]. 2000,15-20.

[6]BUYYA R， ABRAMSON D, GIDDY J.Nimrod/G:an architecture for a resource management and scheduling system in a global computational grid[A]. Proceedings of 4th International Conference on High Performance Computing in Asia-Pacific Region[C].2000.283-289.

[7]SATO M, NAKADA H, SEKIGUCHI S, et al. Ninf:a network based information library for a global world-wide computing infrastructure[A]. Proceedings of HPCN97 (LNCS-1225)[C]. 1997.491-502.

[8]DOC NGI application information[EB/OL]. http://www-itg.lbl.gov/NGI.

[9]In Foster，Carl Kesselman．The grid:blueprint for a future computing infrastructure[M]．USA: Morgan Kaufmann，1999.

[10]HENRI C. Simgrid:a toolkit for the simulation of application scheduling[A]. Proceedings of the IEEE Symposium on Cluster Computing and the Grid (CCGrid01)[C]. IEEE Computer Society, 2001.

[11]ARNAUD L, LORIS M, HENRI C. Scheduling distributed applications:the simgrid simulation framework[A]. 3rd International Symposium on Cluster Computing and the Grid[C].2003.138-145.

[12]DANIEL W B，COMP S. The simulation of dynamic resource brokering in a grid environment[D]. The University of Adelaide South Australia, 2002.

[13]HENRI C，ARNAUD L，DMITRII Z，et al. Heuristics for scheduling parameter sweep applications in grid environments[A]. Proceedings of the 9th Heterogeneous Computing Workshop (HCW’00)[C]. 2000.349-363.

[14]REWINI H E，LEWIS T. Scheduling parallel program tasks onto arbitrary target machines[J]. Journal of Arallel and Distributed Computing, 1990,9:132-153.

[15]FISHWICK P. Simulation model design and execution[M]. Building Digital Worlds. Prentice Hall, 1994.

[16]HENRI C, ARNAUD L, DMITRII Z,et al.Heuristics for scheduling parameter sweep applications in grid environments[A]. Proceedings of the 9th Heterogeneous Computing workshop (HCW2000)[C]. 2000.349-363.

[17]AJKUMAR B. Economic-based distributed resource management and scheduling for grid computing[D]. Australia:Monash University, 2002.

[18]HENRI C, GRAZIANO O, FRANCINA B, et al. The appLeS parameter sweep template:user-level middleware for the grid[A]. Proceedings of Super Computing[C]. 2000.75-76.