A systematic review of provenance systems

B Pérez, J Rubio, C Sáenz-Adán - Knowledge and Information Systems, 2018 - Springer
Provenance refers to the entire amount of information, comprising all the elements and their
relationships, that contribute to the existence of a piece of data. The knowledge of …

Characterizing and profiling scientific workflows

G Juve, A Chervenak, E Deelman, S Bharathi… - Future generation …, 2013 - Elsevier
Researchers working on the planning, scheduling, and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

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 …

Scicumulus: A lightweight cloud middleware to explore many task computing paradigm in scientific workflows

D De Oliveira, E Ogasawara, F Baião… - 2010 IEEE 3rd …, 2010 - ieeexplore.ieee.org
Most of the large-scale scientific experiments modeled as scientific workflows produce a
large amount of data and require workflow parallelism to reduce workflow execution time …

Kepler+ Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems

J Wang, D Crawl, I Altintas - Proceedings of the 4th Workshop on …, 2009 - dl.acm.org
MapReduce provides a parallel and scalable programming model for data-intensive
business and scientific applications. MapReduce and its de facto open source project, called …

Towards supporting the life cycle of large scale scientific experiments

M Mattoso, C Werner, GH Travassos… - International …, 2010 - inderscienceonline.com
One of the main challenges of scientific experiments is to allow scientists to manage and
exchange their scientific computational resources (data, programs, models, etc.). The …

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 …

Chiron: a parallel engine for algebraic scientific workflows

E Ogasawara, J Dias, V Silva, F Chirigati… - Concurrency and …, 2013 - Wiley Online Library
Large‐scale scientific experiments based on computer simulations are typically modeled as
scientific workflows, which eases the chaining of different programs. These scientific …

HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows

B Balis - Future Generation Computer Systems, 2016 - Elsevier
This paper presents HyperFlow: a model of computation, programming approach and
enactment engine for scientific workflows. Workflow programming in HyperFlow combines a …

Workflow task clustering for best effort systems with Pegasus

G Singh, MH Su, K Vahi, E Deelman… - Proceedings of the 15th …, 2008 - dl.acm.org
Many scientific workflows are composed of fine computational granularity tasks, yet they are
composed of thousands of them and are data intensive in nature, thus requiring resources …