Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
—This paper describes a biologically-inspired network architecture, called SymbioticSphere, which allows large-scale data centers to autonomously adapt to dynamic environmental c...
Abstract. With the increased need of data sharing among multiple organizations, such as government organizations, financial corporations, medical hospitals and academic institution...