Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

We address a multicriteria non-preemptive energy-aware scheduling problem for
computational Grid systems. This work introduces a new formulation of the scheduling …

MinMin, MaxMin, and Sufferage are constructive heuristics that are widely and successfully
used in assigning independent tasks to processors in heterogeneous computing systems …

This work presents a novel parallel micro evolutionary algorithm for scheduling tasks in
distributed heterogeneous computing and grid environments. The scheduling problem in …

This article presents a two-level strategy for scheduling large workloads of parallel
applications in multicore distributed systems, taking into account the minimization of both the …

In this paper, we present two new parallel algorithms to solve large instances of the
scheduling of independent tasks problem. First, we describe a parallel version of the Min …

Efficient application scheduling is critical for achieving high performance in heterogeneous
computing (HC) environments. Because of such importance, there are many researches on …

This work presents sequential and parallel evolutionary algorithms (EAs) applied to the
scheduling problem in heterogeneous computing environments, a NP-hard problem with …

This article presents the evaluation of multicriteria planning heuristics for demand response
in datacenters and supercomputing facilities. This is a relevant problem for science …

The sensitivity analysis of a Cellular Genetic Algorithm (CGA) with local search is used to
design a new and faster heuristic for the problem of mapping independent tasks to a …