It has been a long time that computer architecture and systems are optimized for efficient
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

AIOps is about empowering software and service engineers (eg, developers, program
managers, support engineers, site reliability engineers) to efficiently and effectively build …

Disk drives are one of the most commonly replaced hardware components and continue to
pose challenges for accurate failure prediction. In this work, we present analysis and …

Cloud computing has become inevitable for every digital service which has exponentially
increased its usage. However, a tremendous surge in cloud resource demand stave off …

Hard disk drive failures are one of the most common causes of service downtime in data
centers. Predictive maintenance techniques have been adopted to extend the Remaining …

The management of cloud service incidents (unplanned interruptions or outages of a
service/product) greatly affects customer satisfaction and business revenue. After years of …

In recent years, many traditional software systems have migrated to cloud computing
platforms and are provided as online services. The service quality matters because system …

With the booming of online service systems, anomaly detection on multivariate time series,
such as a combination of CPU utilization, average response time, and requests per second …

In large-scale online service systems, software changes are inevitable and frequent. Due to
importing new code or configurations, changes are likely to incur incidents and destroy user …