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Research of Performance Tuning Technology for High Performance Computing Cluster System
Author: FengBaoMin
Tutor: TangGuoWeiï¼›ZhangTieGang
School: Northeast University of Petroleum
Course: Computer technology
Keywords: Cluster system Performance Optimization Operating Characteristic Scheduling policy Load balancing Clustered Storage
CLC: TE938
Type: Master's thesis
Year: 2010
Downloads: 37
Quote: 1
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Abstract
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Cluster system performance optimization techniques , to investigate a commonly used performance optimization method based on from seismic processing reality , focus on solving the problem of industrial application specific environment . Obtained through analysis of the operational status of the seismic operations , resource type characteristics of the various types of seismic operations , and all kinds of jobs with the entire process flow proportional relationship , find existing seismic processing system bottlenecks . Disk striping technology , multi- disk concurrent read and write , and improve the operating efficiency of data read and write I / O 30% ; various job scheduling algorithm , which according to the characteristics of different seismic operations resources to develop appropriate job scheduling strategy to solve the the cluster nodes load balancing and resource contention problems , improve the throughput of the system , to enhance the multi- tasking capacity of 45% . The various characteristics of the file system , the system demand for high-bandwidth characteristics for seismic processing business , focusing on key clustered storage technology . Distributed storage need high-bandwidth , completely solve the storage bottleneck problem of constrained cluster system for seismic processing business . While the expansion in the size of the cluster system , the computing power can be linear growth .
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CLC: > Industrial Technology > Oil and gas industry > Oil machinery and equipment and automation > Oil and gas production machinery and equipment > Oil and gas production mechanization and automation
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