In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …

During the past decades scheduling has been among the most studied optimization
problems and it is still an active area of research! Scheduling appears in many areas of …

In this chapter, we review a few important concepts from Grid computing related to
scheduling problems and their resolution using heuristic and meta-heuristic approaches …

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

Due to the complex nature of Grid systems, the design of efficient Grid schedulers is
challenging since such schedulers have to be able to optimize many conflicting criteria in …

Efficiently scheduling a set of independent tasks on a virtual supercomputer formed by many
heterogeneous components has great practical importance, since such systems are …

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 …

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

Rapidly advancing technology brings a huge volume of data along the way that grows at a
staggering pace and cannot be processed with traditional algorithms/hardware. Therefore …

In this work we analyze the performance of scheduling algorithms with respect to fairness.
Existing works frequently consider fairness as a job related issue. In our work we analyze …