We consider the problem of scheduling on a single processor a given set of n jobs. Each job j has a workload w_j and a release time r_j. The processor can vary its speed and hibernate to reduce energy consumption. In a schedule minimizing overall consumed energy, it might be that some jobs complete arbitrarily far from their release time. So in order to guarantee some quality of service, we would like to impose a deadline d_j=r_j+F for every job j, where F is a guarantee on the *flow time*. We provide an O(n^3) algorithm for the more general case of *agreeable deadlines*, where jobs have release times and deadlines and can be ordered such that for every i<j, both r_i<=r_j and d_i<=d_j
International audiencePower management aims in reducing the energy consumed by computer systems whil...
In this paper we consider online deadline scheduling on a processor that can manage its energy usage...
We consider online scheduling algorithms in the dynamic speed scaling model, where a processor can s...
International audienceWe consider the problem of scheduling on a single processor a given set of n j...
International audienceWe study the following energy-efficient scheduling problem. We are given a set...
International audienceWe are given a set of n jobs and a single processor that can vary its speed dy...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
International audienceWe consider the problem of scheduling a set of n jobs on a single processor. E...
In this paper we study energy efficient deadline scheduling on multiprocessors in which the processo...
International audienceWe are given a set of jobs, each one specified by its release date, its deadli...
International audienceWe are given a set of jobs, each one specified by its release date, its deadli...
Abstract. We improve complexity bounds for energy-efficient speed scheduling problems for both the s...
We present theoretical algorithmic research of processor scheduling in an energy aware environment u...
International audiencePower management aims in reducing the energy consumed by computer systems whil...
AbstractIn this paper we consider online deadline scheduling on a processor that can manage its ener...
International audiencePower management aims in reducing the energy consumed by computer systems whil...
In this paper we consider online deadline scheduling on a processor that can manage its energy usage...
We consider online scheduling algorithms in the dynamic speed scaling model, where a processor can s...
International audienceWe consider the problem of scheduling on a single processor a given set of n j...
International audienceWe study the following energy-efficient scheduling problem. We are given a set...
International audienceWe are given a set of n jobs and a single processor that can vary its speed dy...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
International audienceWe consider the problem of scheduling a set of n jobs on a single processor. E...
In this paper we study energy efficient deadline scheduling on multiprocessors in which the processo...
International audienceWe are given a set of jobs, each one specified by its release date, its deadli...
International audienceWe are given a set of jobs, each one specified by its release date, its deadli...
Abstract. We improve complexity bounds for energy-efficient speed scheduling problems for both the s...
We present theoretical algorithmic research of processor scheduling in an energy aware environment u...
International audiencePower management aims in reducing the energy consumed by computer systems whil...
AbstractIn this paper we consider online deadline scheduling on a processor that can manage its ener...
International audiencePower management aims in reducing the energy consumed by computer systems whil...
In this paper we consider online deadline scheduling on a processor that can manage its energy usage...
We consider online scheduling algorithms in the dynamic speed scaling model, where a processor can s...