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Research on distributed-memory database storage

Author: QuanZhongWei
Tutor: YuZuo
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Distributed -memory database Distributed memory file system Distributed Storage Load Balancing Expansibility
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 83
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Abstract


In recent years, research on the smart grid of the grid and vigorously promote the process of information . With the grid system for the continuous deepening of information technology applications , grid systems for database storage capabilities and real-time requirements gradually improved, so the database has more than traditional disk -memory database performance has been widely used. However, due to memory limitations , cache memory database roles often appear in front of the grid system, to alleviate the traditional disk database performance bottlenecks. With the rise of the smart grid , as opposed to the traditional power grid , more frequent data interaction , a much larger amount of data , which requires data platform with greater data capacity and higher data concurrency. On the one hand means that the traditional grid system memory database will have to bear more of the business data and business applications , it also proposed a new database on the memory requirements and challenges . By combining the characteristics of grid and smart grid development trends , design and implement distributed memory -based file systems , distributed -memory database system . To solve a centralized database in memory capacity, and concurrency issues such deficiencies. System is divided into two layers , the lower the distributed memory file system for the upper memory file operations provide transparent services , is responsible for the file block stored in each node in a distributed system and mapped to the responding node process space for operation , and to ensure that each node in the system load balancing and data consistency , while providing a dynamic change in the node functions ; upper for distributed -memory database management system , by calling the underlying relational data service to store files , and according to the demand for these relational data were established with the local index global index for quick queries. Two-tier system uses a loosely coupled architecture , each responsible for a separate function and optimization. Through the test results can be seen in the case of a single node , the system's TPS ( transactions per second volume Transaction Per Second) close to commercial memory database ; in the system for each additional node , the entire system can provide about 0.76 times the single node concurrency ( linear growth ) ; as nodes join or leave the system, each node can load faster leveling.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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