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System simulation data distributed computing environment Research and Implementation

Author: ChenLiang
Tutor: WuJiJuan
School: Harbin Engineering University
Course: Applied Computer Technology
Keywords: System simulation data Distributed Computing Web Services Ant Colony Algorithm
CLC: TP391.9
Type: Master's thesis
Year: 2008
Downloads: 44
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Abstract


Currently, the system simulation data calculations are performed on a machine computation . Simulation data was used to evaluate network support services system performance , which requires real-time computing system simulation data to show the service to the user while the system load of each network device , the user determines whether the selected device reasonable . However, due to large amount of simulation data , on a single machine is difficult to meet the needs of real-time interaction to users . This makes it necessary to adopt a distributed computing technology to geographically widely distributed resources together into a whole , common computing tasks . Use of network resources to carry out a host of distributed computing has become an important way of high-performance computing , it provides better performance and low cost , easier to solve some difficult on a single computer to solve complex problems. This paper analyzes the system simulation data, real-time data requirements for system simulation , computational capacity, processing speed and other characteristics alone , using the Master-Worker model based on three-tier architecture of distributed computing processing solutions ; technically in achieving , using WebServices technologies used in the calculation of node-side Web Services technology to system simulation data computing applications as Web services . The first paper gives a system architecture and function of each module . Because the task takes a long time to calculate , compute nodes increases the possibility of error , calculated for a single node failure caused huge loss calculation problems using the checkpoint feature. Then in the system task scheduling algorithm is studied , improved ant colony algorithm , namely high performance machine assigned tasks are more low-performance machines assigned tasks is relatively small, through the rational allocation of tasks to reduce computation time .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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