HPC cloud for scientific and business applications: taxonomy, vision, and research challenges

MAS Netto, RN Calheiros, ER Rodrigues… - ACM Computing …, 2018 - dl.acm.org
High performance computing (HPC) clouds are becoming an alternative to on-premise
clusters for executing scientific applications and business analytics services. Most research …

Scientific workflows management and scheduling in cloud computing: taxonomy, prospects, and challenges

Z Ahmad, AI Jehangiri, MA Ala'anzy, M Othman… - IEEE …, 2021 - ieeexplore.ieee.org
Cloud computing provides solutions to a large number of organizations in terms of hosting
systems and services. The services provided by cloud computing are broadly used for …

A survey of data-intensive scientific workflow management

J Liu, E Pacitti, P Valduriez, M Mattoso - Journal of Grid Computing, 2015 - Springer
Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

A provenance-based adaptive scheduling heuristic for parallel scientific workflows in clouds

D de Oliveira, KACS Ocaña, F Baião… - Journal of grid …, 2012 - Springer
In the last years, scientific workflows have emerged as a fundamental abstraction for
structuring and executing scientific experiments in computational environments. Scientific …

Dynamic steering of HPC scientific workflows: A survey

M Mattoso, J Dias, KACS Ocana, E Ogasawara… - Future Generation …, 2015 - Elsevier
The field of scientific workflow management systems has grown significantly as applications
start using them successfully. In 2007, several active researchers in scientific workflow …

A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds

L Teylo, U de Paula, Y Frota, D de Oliveira… - Future Generation …, 2017 - Elsevier
A growing number of data-and compute-intensive experiments have been modeled as
scientific workflows in the last decade. Meanwhile, clouds have emerged as a prominent …

An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience

DD Sánchez-Gallegos, D Di Luccio, S Kosta… - Future Generation …, 2021 - Elsevier
Workflow engines are commonly used to orchestrate large-scale scientific computations
such as, but not limited to weather, climate, natural disasters, food safety, and territorial …

A blockchain-based architecture for trust in collaborative scientific experimentation

R Coelho, R Braga, JMN David, V Stroele… - Journal of Grid …, 2022 - Springer
In scientific collaboration, data sharing, the exchange of ideas and results are essential to
knowledge construction and the development of science. Hence, we must guarantee …

Optimizing virtual machine allocation for parallel scientific workflows in federated clouds

RC Coutinho, LMA Drummond, Y Frota… - Future Generation …, 2015 - Elsevier
Cloud computing has established itself as an interesting computational model that provides
a wide range of resources such as storage, databases and computing power for several …

Challenges of provenance in scientific workflow management systems

K Alam, B Roy - 2022 IEEE/ACM Workshop on Workflows in …, 2022 - ieeexplore.ieee.org
Scientific workflow is one of the well-established pillars of large-scale computational science
and emerged as a torchbearer to formalize and structure a massive amount of complex …