Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Jiangxi, People’s Republic of C hina, by NewsRx editors, research stated, “This paper proposes a performance opt imization strategy for Spark-based machine learning algorithms in Shuffle and me mory data management modules.” The news correspondents obtained a quote from the research from Jiangxi Universi ty of Finance and Economics: “The Shuffle module is optimized by introducing Obs erver monitoring module in Spark cluster to achieve task status monitoring and d ynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism fo r RDD data addresses the lack of in-memory data caching.”