HPC cloud for scientific and business applications: taxonomy, vision, and research challenges
High performance computing (HPC) clouds are becoming an alternative to on-premise
clusters for executing scientific applications and business analytics services. Most research …
clusters for executing scientific applications and business analytics services. Most research …
Scientific workflows management and scheduling in cloud computing: taxonomy, prospects, and challenges
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 …
systems and services. The services provided by cloud computing are broadly used for …
A survey of data-intensive scientific workflow management
Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …
amounts of data. Their data processing consists of multiple computational steps and …
A provenance-based adaptive scheduling heuristic for parallel scientific workflows in clouds
In the last years, scientific workflows have emerged as a fundamental abstraction for
structuring and executing scientific experiments in computational environments. Scientific …
structuring and executing scientific experiments in computational environments. Scientific …
Dynamic steering of HPC scientific workflows: A survey
The field of scientific workflow management systems has grown significantly as applications
start using them successfully. In 2007, several active researchers in scientific workflow …
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
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 …
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
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 …
such as, but not limited to weather, climate, natural disasters, food safety, and territorial …
A blockchain-based architecture for trust in collaborative scientific experimentation
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 …
knowledge construction and the development of science. Hence, we must guarantee …
Optimizing virtual machine allocation for parallel scientific workflows in federated clouds
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 …
a wide range of resources such as storage, databases and computing power for several …
Challenges of provenance in scientific workflow management systems
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 …
and emerged as a torchbearer to formalize and structure a massive amount of complex …