PSscheduler: A parameter synchronization scheduling algorithm for distributed machine learning in reconfigurable optical networks
With the increasing size of training datasets and models, parameter synchronization stage
puts a heavy burden on the network, and communication has become one of the main …
puts a heavy burden on the network, and communication has become one of the main …
Recent Advances in Data Intensive Applications: Survey
Y Oubaydallah, K Ibrahimi… - 2023 10th International …, 2023 - ieeexplore.ieee.org
This survey article explores recent advancements in data transfers, coflow scheduling, and
reducer placement techniques for optimizing the performance of data-intensive applications …
reducer placement techniques for optimizing the performance of data-intensive applications …
Semi-Distributed Coflow Scheduling in Datacenters
R El-Azouzi, F De Pellegrini, A Arfaoui… - … on Network and …, 2024 - ieeexplore.ieee.org
With the advent of big data applications, coflow scheduling has become a cornerstone for
the engineering of traffic in datacenters. Minimizing the average weighted Coflow …
the engineering of traffic in datacenters. Minimizing the average weighted Coflow …