Dynamic power optimization of interactive systems

Lin Zhong, Niraj K. Jha

Research output: Contribution to journalConference article

19 Scopus citations

Abstract

Power has become a major concern for mobile computing systems such as laptops and handheld, on which a significant fraction of software usage is interactive instead of computation-intensive. An analysis shows that over 90% of system energy and time is spent waiting for user input. Such idle periods provide vast opportunities for dynamic power management (DPM) and voltage scaling (DVS) techniques to reduce system energy. The user interface is in charge of system-user interaction. It often has a priori knowledge about how the user and system interact at a given moment. In this work, we propose to utilize such a priori knowledge and theories from the field of Psychology to predict user delays. We show that such delay predictions can be combined with DPM/DVS for aggressive power optimization. We verify the effectiveness of our methodologies using usage traces collected on a personal digital assistant (PDA) and a system power model based on accurate measurements. Experiments show that using predicted user delays for DPM/DVS achieves an average of 21.9% system energy reduction with little sacrifice in user productivity or satisfaction.

Original languageEnglish (US)
Pages (from-to)1041-1047
Number of pages7
JournalProceedings of the IEEE International Conference on VLSI Design
Volume17
StatePublished - May 24 2004
EventProceedings - 17th International Conference on VLSI Design, Concurrently with the 3rd International Conference on Embedded Systems Design - Mumbai, India
Duration: Jan 5 2004Jan 9 2004

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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