Self-adaptive Executors for Big Data Processing
dataset
posted on 06.09.2019, 00:00 by S. (Sobhan) Omranian KhorasaniThis dataset contains the measurements obtained with Apache Spark using different strategies for adapting the number of executor threads to reduce I/O contention. The two main strategies explored are a static solution (number of executor threads for I/O intensive tasks pre-determined) and a dynamic solution that employs an active control loop to measure epoll_wait time.