Workflows are prevalent in today's computing infrastructures as they support many domains.
Different Quality of Service (QoS) requirements of both users and providers makes workflow …

Highly scalable resource supply capacity of cloud computing has greatly improved the
execution speed of workflow applications, however, traditional workflow scheduling …

Machine learning (ML) is being applied in a number of everyday contexts from image
recognition, to natural language processing, to autonomous vehicles, to product …

The Cloud environment had been the go-to for many users recently. Once request from
users get submitted, cloud resources are put into action to fulfill the request. Scheduling is …

The multiprocessor system on chips (MPSoCs) are considered today the core of most
modern systems. Most of the applications of these heterogeneous MPSoCs include critical …

Workflows are prevalent in today's computing infrastructures. The workflow model support
various different domains, from machine learning to finance and from astronomy to …

Large-scale computing infrastructures, in particular cloud datacenters, have become a
backbone of modern society. Their usage, presence, and scale are increasing rapidly …

Advances in distributed systems technology have allowed for the provisioning of IT services
with increasing flexibility at an unprecedented scale. As the global market for infrastructure …

Cientistas cada vez mais necessitam executar experimentos altamente exigentes em termos
computacionais. Estes experimentos são frequentemente modelados como workflows …

Scientific experiments produce data at unprecedented volumes and resolutions. For the
extraction of insights from large sets of raw data, complex analysis workflows are necessary …