A Performance Analysis Evaluating Relational is a B.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
A Performance Analysis Evaluating Relational Project Details
| Abstract |
This resource shows how to test the performance of relational database management systems (RDBMS) on two kinds of storage: Hard Disk Drives (HDDs) and SolidβState Drives (SSDs). HDDs use spinning platters and moving read/write heads, which add delay. SSDs store data in flash memory and avoid those mechanical limits, so they can be faster. The original research ran a series of database benchmarks. It measured how long queries took, how quickly data could be loaded, and how fast the disk could write data. The researchers also surveyed academic IT professionals about how their lab systems performed. The results were clear: SSDs beat HDDs on every metric. Queries ran with lower
latency, data loaded faster, and overall system lag was reduced. For B.Tech students, this guide helps you set up a local benchmarking environment. You can install a relational database such as MySQL or PostgreSQL on a machine that has both an HDD and an SSD. Then run a set of standard queries, record the response times, and log read/write throughput. Unlike the original study, which included survey feedback from IT lecturers, your work will concentrate on the direct, programβbased measurements of read/write speed and query execution time to compare the two storage types.
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| Reference Paper |
A Performance Analysis: Evaluating Relational Database System on HDD VS. SSD Storage |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Database Management Systems |
| PDF Download |
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| Get Help |
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