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The Research of Optimization Technologies for the File System of High Performance Computing Cluster

Author: ZhangZuoSen
Tutor: WuQingBo
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: High-performance computing Distributed storage technology Lustre File System Optimization techniques
CLC: TP316
Type: Master's thesis
Year: 2010
Downloads: 111
Quote: 2
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Abstract


With the rapid development of high-performance computing technology, more and more areas to start using the technology to solve the practical problems encountered in the production and research, for example the meteorological numerical simulation and forecasting, earthquake prediction, bioinformatics, environmental science, space scientific, financial and other important areas. The level of development of high-performance computing technology has gradually become an important indicator to measure a country's comprehensive national strength and international competitiveness. In the process of building a high-performance computing systems, the performance of the storage system is to affect the calculated performance of the main factors. Therefore, the study of high-performance computing file system has important significance and its optimization. In this paper, the principle of high-performance computing storage file system, storage structure and storage technology in-depth study. Its shortcomings in the actual application process based on this analysis. In response to these inadequacies, to optimize the file system for high-performance computing to improve I / O performance of storage systems. Storage resource allocation strategies, econometric models into high-performance computing file system. Use of relevant economic theory of the file system modeling and design of the model based on the algorithm of the file system's storage resources allocated. After optimization file system can be dynamically adjusted based on different scenarios, storage resource allocation strategies. Not only simplifies the file system tuning work, and also to improve the utilization of system resources. In terms of data access control, this paper presents the perception of a state-based data access control methods. The state sensing key to the access control method is that the client is able to perceive the load state of the entire system, and according to the load state information dynamically adjust its request transmission policy. This data access control method can be avoided to a certain extent the congestion occurs, and the file system work at optimal load status, its full I / O performance. In the meta-data access control, the distributed metadata storage structure is to eliminate the effective solution of the unit data server bottlenecks. In this paper, this storage structure optimized design and optimized file system metadata access policy on this basis. To improve the response speed of the metadata server, the operation of the metadata for the appropriate relaxation treatment. After optimization of the file system can better meet the needs of high-performance computing storage systems. Finally, based on the above-mentioned work to design a prototype system SA-Lustre Lustre simulator of the prototype system. Can be found through the testing of the the SA-Lustre prototype system has been greatly improved, after optimization of the file system in the I / O performance, concurrent I / O bandwidth and throughput.

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