cff-version: 1.2.0
abstract: "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."
authors:
  - family-names: Omranian Khorasani
    given-names: S. (Sobhan)
title: "Self-adaptive Executors for Big Data Processing"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:38529ffe-00d0-42b0-9b3c-29d192262686
license: CC0
date-released: 2019-09-06