Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

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

Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

Scientific workflows consisting of a high number of interdependent tasks represent an
important class of complex scientific applications. Recently, a new type of serverless …

Recently, the computational requirements for large-scale data-intensive analysis of scientific
data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron …

Provenance, a form of structured metadata designed to record the origin or source of
information, can be instrumental in deciding whether information is to be trusted, how it can …

Complex-systems describe multiple levels of collective structure and organization. In such
systems, the emergence of global behaviour from local interactions is generally studied …

In this paper a method for estimating task execution times is presented, in order to facilitate
dynamic scheduling in a heterogeneous metacomputing environment. Execution time is …

The rise of virtualized and distributed infrastructures has led to new challenges to
accomplish the effective use of compute resources through the design and orchestration of …

Planning in mining regions needs to accommodate the extraction of minerals/energy
resources in co-existence with established land uses, such as agriculture and ecological …