4 citations · 7 across the 4 of their papers we have counts for
4 papers
Saath: Speeding up CoFlows by Exploiting the Spatial Dimension
Akshay Jajoo, Rohan Gandhi, Y. Charlie Hu +1
Coflow scheduling improves data-intensive application performance by improving their networking performance. State-of-the-art Coflow schedulers in essence approximate the classic o…
A Case for Sampling Based Learning Techniques in Coflow Scheduling
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
Coflow scheduling improves data-intensive application performance by improving their networking performance. State-of-the-art online coflow schedulers in essence approximate the cl…
The Case for Task Sampling based Learning for Cluster Job Scheduling
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin +1
The ability to accurately estimate job runtime properties allows a scheduler to effectively schedule jobs. State-of-the-art online cluster job schedulers use history-based learning…
An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage
Qiang Xu, James C. Davis, Y. Charlie Hu +1
Improving software performance through configuration parameter tuning is a common activity during software maintenance. Beyond traditional performance metrics like latency, mobile…