Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …

Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

Modern science often requires the execution of large-scale, multi-stage simulation and data
analysis pipelines to enable the study of complex systems. The amount of computation and …

Green Computing is a recent trend in computer science, which tries to reduce the energy
consumption and carbon footprint produced by computers on distributed platforms such as …

Scientific workflows are a cornerstone of modern scientific computing. They are used to
describe complex computational applications that require efficient and robust management …

Abstract Bag-of-Tasks (BoT) workflows are widespread in many big data analysis fields.
However, there are very few cloud resource provisioning and scheduling algorithms tailored …

Cloud computing represents a significant shift in computer capability acquisition from the
former ownership model to the current subscription approach. In cloud computing, services …

The edge computing system attracts much more attention and is expected to satisfy ultra-low
response time required by emerging IoT applications. Nevertheless, as there were problems …

In the last decade, cloud computing becomes the most demanding platform to resolve issues
and manage requests across the Internet. Cloud computing takes along terrific opportunities …

Cloud computing, a novel and promising model of Service-oriented computing, provides a
pay-per-use framework to solve large-scale scientific and business workflow applications …