This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …

ABSTRACT A global rise in demand for energy gives rise to a plethora of challenges like the
increase in greenhouse gas emissions with its associated environmental impact. The …

We address scheduling independent and precedence constrained parallel tasks on multiple
homogeneous processors in a data center with dynamically variable voltage and speed as …

When multiple manycore processors in a data center for cloud computing are shared by a
large number parallel tasks simultaneously, we are facing the problem of allocating the …

Considering the impact of machine conditions on processing energy is critical in energy-
efficient scheduling. In this study, machine conditions are evaluated by machine reliability …

Energy and time constrained task scheduling on multiprocessor computers with discrete
clock frequency and supply voltage and execution speed and power levels is addressed as …

Modern computers allow software to adjust power management settings like speed and
sleep modes to decrease the power consumption, possibly at the price of a decreased …

We study classical deadline-based preemptive scheduling of jobs in a computing
environment equipped with both dynamic speed scaling and sleep state capabilities: Each …

This paper investigates a single machine scheduling problem to minimize energy
consumption with bounded maximum tardiness. A set of jobs are to be processed on a …

In this paper, we study the following batch scheduling model: find a schedule that minimizes
total flow time for n uniform length jobs, with release times and deadlines, where the …