A review of serverless use cases and their characteristics
The serverless computing paradigm promises many desirable properties for cloud
applications-low-cost, fine-grained deployment, and management-free operation …
applications-low-cost, fine-grained deployment, and management-free operation …
Simulation intelligence: Towards a new generation of scientific methods
The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …
computing, where a motif is an algorithmic method that captures a pattern of computation …
Multiple workflows scheduling in multi-tenant distributed systems: A taxonomy and future directions
Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …
interdependent and interconnected tasks. They are widely used by the scientific community …
[ΒΙΒΛΙΟ][B] Reproducibility and replicability in science
National Academies of Sciences, Policy, Global Affairs… - 2019 - books.google.com
One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
Oblivm: A programming framework for secure computation
We design and develop ObliVM, a programming framework for secure computation. ObliVM
offers a domain specific language designed for compilation of programs into efficient …
offers a domain specific language designed for compilation of programs into efficient …
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …
pervasiveness of compute and data have resulted in the proliferation of edge applications …
FAIR computational workflows
Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …
A community roadmap for scientific workflows research and development
The landscape of workflow systems for scientific applications is notoriously convoluted with
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …
Wfcommons: A framework for enabling scientific workflow research and development
Scientific workflows are a cornerstone of modern scientific computing. They are used to
describe complex computational applications that require efficient and robust management …
describe complex computational applications that require efficient and robust management …
A perspective on digital knowledge representation in materials science and engineering
The amount of data generated worldwide is constantly increasing. These data come from a
wide variety of sources and systems, are processed differently, have a multitude of formats …
wide variety of sources and systems, are processed differently, have a multitude of formats …