We solve workflow scheduling problems in e-Science networks, whose goal is minimizing
either makespan or network resource consumption by jointly scheduling heterogeneous …

Resource abundance is apparent in today's multi-core era. Workflow applications common
in science and engineering can take great advantage of such ample resource capacity. Yet …

Many fields of modern science require huge amounts of computation, and workflows are a
very popular tool in e-Science since they allow to organize many small, simple tasks to solve …

Commercial clouds have increasingly become a viable platform for hosting scientific
analyses and computation due to their elasticity, recent introduction of specialist hardware …

Most existing workflow scheduling algorithms only consider a computing environment in
which the number of compute resources is bounded. Compute resources in such an …

In recent years, Big Data has changed how we do computing. Even though we have large
scale infrastructure such as Cloud computing and several platforms such as Hadoop …

The workflow programming paradigm has had a representative growth in the last years. This
model is useful to represent flows of control and facilitate the complexity management of …

With the ever-increasing application demands, the execution of applications may require
more resources than locally available. In this scenario, resources from multiple IaaS cloud …

Cloud computing enables the delivery of computing, software, storage, and data access
through web browsers as a metered service. In addition to commercial applications, an …

Workflow technologies have become a major vehicle for the easy and efficient development
of science applications. When integrating the workflow technology with the state-of-art …