Polynomial Time Algorithms for Minimum Energy Scheduling

Computer Science – Data Structures and Algorithms

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The aim of power management policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory level of performance. One common method for saving energy is to simply suspend the system during the idle times. No energy is consumed in the suspend mode. However, the process of waking up the system itself requires a certain fixed amount of energy, and thus suspending the system is beneficial only if the idle time is long enough to compensate for this additional energy expenditure. In the specific problem studied in the paper, we have a set of jobs with release times and deadlines that need to be executed on a single processor. Preemptions are allowed. The processor requires energy L to be woken up and, when it is on, it uses one unit of energy per one unit of time. It has been an open problem whether a schedule minimizing the overall energy consumption can be computed in polynomial time. We solve this problem in positive, by providing an O(n^5)-time algorithm. In addition we provide an O(n^4)-time algorithm for computing the minimum energy schedule when all jobs have unit length.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Polynomial Time Algorithms for Minimum Energy Scheduling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Polynomial Time Algorithms for Minimum Energy Scheduling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Polynomial Time Algorithms for Minimum Energy Scheduling will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-232603

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.