O'Reilly logo

Database Systems: Concepts, Design and Applications by S. K. Singh

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

17.4. Key Elements of Parallel Database Processing

Following are the key elements of parallel database processing:

  • Speed-up

  • Scale-up

  • Synchronisation

  • Locking

17.4.1. Speed-up

Speed-up is a property in which the time taken for performing a task decreases in proportion to the increase in the number of CPUs and disks in parallel. In other words, speed-up is the property of running a given task in less time by increasing the degree of parallelism (more number of hardware). With additional hardware, speed-up holds the task constant and measures the time saved. Thus, speed-up enables users to improve the system response time for their queries, assuming the size of their databases remain roughly the same. Speed-up due to parallelism can be defined as ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required