摘要云计算能够给用户提供可靠的, 自定义的, 最大化资源利用的服务, 是一种崭新的分布式计算
模式. 同时, 云计算和其他技术及理论的有机结合, 也是解决理论研究和实际应用的重要途径 …

In the statistics community, outlier detection for time series data has been studied for
decades. Recently, with advances in hardware and software technology, there has been a …

MapReduce is a programming paradigm for parallel processing that is increasingly being
used for data-intensive applications in cloud computing environments. An understanding of …

MapReduce is a widely used parallel computing framework for large scale data processing.
The two major performance metrics in MapReduce are job execution time and cluster …

The causes of performance changes in a distributed system often elude even its developers.
This paper develops a new technique for gaining insight into such changes: comparing …

By leveraging large clusters of commodity hardware, the Cloud offers great opportunities to
optimize the operative costs of software systems, but impacts significantly on the reliability of …

This study develops an autonomous artificial intelligence (AI) agent to detect anomalies in
traffic flow time series data, which can learn anomaly patterns from data without supervision …

Anomaly detection techniques enable effective anomaly detection and diagnosis in multi-
variate time series data, which are of major significance for today's industrial applications …

In this paper, we analyze a workload trace from the Google cloud cluster and characterize
the observed failures. The goal of our work is to improve the understanding of failures in …

Reliable and accessible cloud applications are essential for the future of ubiquitous
computing, smart appliances, and electronic health. Owing to the vastness and diversity of …