首页|Studies from Concordia University Yield New Information about Machine Learning ( Machine Learning for Predicting Infrastructure Faults and Job Failures In Clouds : a Survey)
Studies from Concordia University Yield New Information about Machine Learning ( Machine Learning for Predicting Infrastructure Faults and Job Failures In Clouds : a Survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating in Montreal, Canada, by NewsRx journalists, research stated, "Fault prediction in cloud environments is a critical task for ensuring the reliability and availability of cloud services. Machine learning (ML) techniques are increasingly used for this purpose due to their ability to recognize and predict patterns that may indicate potential faul ts." Financial support for this research came from Ericsson/ENCQOR-5G Senior Industri al Research Chair on Cloud and Edge Computing for 5G and Beyond. The news reporters obtained a quote from the research from Concordia University, "In this survey, we propose a taxonomy for ML-based fault prediction work, prov iding a critical overview, and evaluating the work from an algorithmic perspecti ve. This includes identifying five key requirements for fault prediction in clou ds and using them to evaluate the work. In this evaluation, we gain insight into the literature's current state and identify research directions."
MontrealCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningConcordia University
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