We address the problem of scheduling workflow applications on heterogeneous computing
systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a …

Cloud computing is an emerging Internet-based computing paradigm, with its built-in
elasticity and scalability. In cloud computing field, a service provider offers a large number of …

In recent years, the Cloud environment has played a major role in running High-
Performance Computing (HPC) applications, which are computationally intensive and data …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Task Scheduling is one of the most challenging problems in cloud computing. It is an NP-
Hard and plays an important role in optimizing the use of available resources. Recently …

Increasing attention has been directed towards the two key issues of performance and
energy consumption for parallel applications in high performance clusters. The traditional …

Cloud computing is a collection of heterogeneous autonomous systems to support the
emerging computational paradigm with the help of flexible computational architecture. In …

We address the problem of scheduling precedence-constrained scientific applications on a
heterogeneous distributed processor system with the twin objectives of minimizing …

Particle swarm optimisation has been widely used in solving scheduling problems. This
paper proposes a hybrid algorithm namely Hill Climbing with Multi-objective Particle Swarm …

Task scheduling algorithms are designed mostly with the sole goal of minimizing makespan
(completion time). Almost all research works related to this kind of algorithms do not pay …