Demand-based switching (DBS) is a computer technology term which refers to the process of using software to optimize the use of hardware resources.

Intel uses demand-based switching power management technology to control power voltage consumption at different states of a computer's operations. DBS routines select a minimum clock speed of the microprocessor appropriate to the workload which specific tasks being performed by the computer place on the processor. This results in less electricity being consumed, both by the processor and by fans counteracting excess heat output.

Intel's processor technology takes advantage of DBS techniques.[1][2][3] AMD processors uses a similar process, which the company calls "Power Now".[4][5]

Demand-based switching is also sometimes used in route-caching routines in local area networks to ensure efficient packet switching and traffic flow.[6][7] Software DBS algorithms are frequently used in Linux servers.[8]

References

  1. ^ Rezaur Rahman (3 September 2013). Intel Xeon Phi Coprocessor Architecture and Tools: The Guide for Application Developers. Apress. pp. 92–. ISBN 1-4302-5927-2.
  2. ^ Scaramella, Jed. Eastwood, Matthew. "Solutions for the Datacenter's Thermal Challenges" Archived 2016-08-06 at the Wayback Machine. IDC Headquarters, Framingham, Massachusetts, 2007.
  3. ^ Manish Parashar; Salim Hariri (15 December 2006). Autonomic Computing: Concepts, Infrastructure, and Applications. CRC Press. pp. 345–. ISBN 978-1-4200-0935-4.
  4. ^ Kiran Mani; Bradley Jee (14 December 2007). On the Edge: A Comprehensive Guide to Blade Server Technology. John Wiley & Sons. pp. 104–. ISBN 978-0-470-82304-0.
  5. ^ ""POV-Ray power consumption and efficiency", Tech Report,
  6. ^ David Hucaby (January 2004). CCNP BCMSN Exam Certification Guide: CCNP Self-study. Cisco Press. pp. 66–. ISBN 978-1-58720-077-9.
  7. ^ Richard Froom; Balaji Sivasubramanian; Erum Frahim (21 June 2010). Implementing Cisco IP Switched Networks (SWITCH) Foundation Learning Guide: Foundation learning for SWITCH 642-813. Cisco Press. pp. 222–. ISBN 978-1-58714-165-2.
  8. ^ Ishfaq Ahmad; Sanjay Ranka (3 February 2016). Handbook of Energy-Aware and Green Computing - Two Volume Set. CRC Press. pp. 695–. ISBN 978-1-4822-5444-0.
Category