Different aspects of workflow scheduling in large-scale distributed systems
As large-scale distributed systems gain momentum, the scheduling of workflow applications
with multiple requirements in such computing platforms has become a crucial area of …
with multiple requirements in such computing platforms has become a crucial area of …
A data‐aware scheduling strategy for workflow execution in clouds
F Marozzo, F Rodrigo Duro… - Concurrency and …, 2017 - Wiley Online Library
As data intensive scientific computing systems become more widespread, there is a
necessity of simplifying the development, deployment, and execution of complex data …
necessity of simplifying the development, deployment, and execution of complex data …
Exploiting in-memory storage for improving workflow executions in cloud platforms
Abstract The Data Mining Cloud Framework (DMCF) is an environment for designing and
executing data analysis workflows in cloud platforms. Currently, DMCF relies on the default …
executing data analysis workflows in cloud platforms. Currently, DMCF relies on the default …
Experimental evaluation of a flexible I/O architecture for accelerating workflow engines in ultrascale environments
The increasing volume of scientific data and the limited scalability and performance of
storage systems are currently presenting a significant limitation for the productivity of the …
storage systems are currently presenting a significant limitation for the productivity of the …
[PDF][PDF] Sistema distribuido de archivos ad hoc para cargas de trabajo intensivas en datos en aplicaciones HPC
G Sanchez-Gallegos, J Garcia-Blas, C Petre… - researchgate.net
La creciente demanda de procesamiento de información por parte de las nuevas
aplicaciones intensivas en datos está ejerciendo una alta presión sobre el rendimiento y la …
aplicaciones intensivas en datos está ejerciendo una alta presión sobre el rendimiento y la …
[PDF][PDF] A generic I/O architecture for data-intensive applications based on in-memory distributed cache
The evolution in scientific computing towards data-intensive applications and the increase of
heterogeneity in the computing resources, are exposing new challenges in the I/O layer …
heterogeneity in the computing resources, are exposing new challenges in the I/O layer …
[引用][C] Data-aware scheduling techniques for better locality on massive parallel applications.
GA de Computadores - 2019