1 + ε approximation clock rate assignment for periodic real-time tasks on a voltage-scaling processor

Abstract

Energy-efficient scheduling is an effective way to balance the system performance and the energy consumption. We design a polynomial-time (1+ε)-approximation algorithm to minimize the energy consumption for periodic real-time tasks over such processors, where ε is the tolerable error given by users (1 ≥ ε > 0). It provides trade-offs between the user's tolerable error and the runtime complexity including the time complexity and the memory space complexity. System engineers could trade performance with implementation constraints.