6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.SE2021
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation
Mbarka Soualhia, Foutse Khomh, Sofiene Tahar
The Hadoop scheduler is a centerpiece of Hadoop, the leading processing framework for data-intensive applications in the cloud. Given the impact of failures on the performance of a…
cs.DC2015★ 2 cited
ATLAS: An Adaptive Failure-aware Scheduler for Hadoop
Mbarka Soualhia, Foutse Khomh, Sofiene Tahar
Hadoop has become the de facto standard for processing large data in today's cloud environment. The performance of Hadoop in the cloud has a direct impact on many important applica…
cs.DC2015★ 6 cited
Predicting Scheduling Failures in the Cloud
Mbarka Soualhia, Foutse Khomh, Sofiene Tahar
Cloud Computing has emerged as a key technology to deliver and manage computing, platform, and software services over the Internet. Task scheduling algorithms play an important rol…