Parallel Machine Scheduling to Minimize Energy Consumption
September 29, 2019 Β· Declared Dead Β· π ACM-SIAM Symposium on Discrete Algorithms
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Authors
Antonios Antoniadis, Naveen Garg, Gunjan Kumar, Nikhil Kumar
arXiv ID
1909.13345
Category
cs.DS: Data Structures & Algorithms
Citations
17
Venue
ACM-SIAM Symposium on Discrete Algorithms
Last Checked
3 months ago
Abstract
Given n jobs with release dates, deadlines and processing times we consider the problem of scheduling them on m parallel machines so as to minimize the total energy consumed. Machines can enter a sleep state and they consume no energy in this state. Each machine requires Q units of energy to awaken from the sleep state and in its active state the machine can process jobs and consumes a unit of energy per unit time. We allow for preemption and migration of jobs and provide the first constant approximation algorithm for this problem.
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