TY - DATA
T1 - Self-adaptive Executors for Big Data Processing
PY - 2019/09/06
AU - S. (Sobhan) Omranian Khorasani
UR - https://data.4tu.nl/articles/dataset/Self-adaptive_Executors_for_Big_Data_Processing/12689153/1
DO - 10.4121/uuid:38529ffe-00d0-42b0-9b3c-29d192262686
KW - Apache Spark
KW - Middleware 2019
N2 - This 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.
ER -