This article describes a fast, statistically principled method for monitoring streams of network counts, which have long-term trends, rough cyclical patterns, outliers, and missing data. The key step is to build a reference (predictive) model for the counts that captures their complex, salient features but has just a few parameters that can be kept up-to-date as the counts flow by, without requ...

This paper addresses modeling causal relationships over event streams where data are unbounded and hence incremental modeling is required. There is no existing work for incremental causal modeling over event streams. Our approach is based on Popper’s three conditions which are generally accepted for inferring causality – temporal precedence of cause over effect, dependency between cause and eff...

Graph is an extremely useful representation of a wide variety of practical systems in data analysis. Recently, with the fast accumulation of stream data from various type of networks, significant research interests have arisen on spectral clustering for network streams (or evolving networks). Compared with the general spectral clustering problem, the data analysis of this new type of problems m...

This paper studies the performance of pipeline network coding for multicast stream distribution in high loss rate MANET scenarios. Most of the previous network coding implementations have been based on batch network coding, where all blocks in the same batch are mixed together. Batch coding requires that the entire batch is received before decoding at destination. Thus, it introduces high decod...

An encoded video traac is a correlated and bursty traac with high value of peak to mean ratio (burstiness). For asynchronous transfer mode (ATM) networks, the challenge of QoS guarantees is to allocate an eeective bandwidth for each video connection and a tradeoo should be achieved between improving the network utilisation and providing QoS guarantees. The allocated bandwidth could be based on ...

Anomaly detection in computer networks yields valuable information on events relating to the components of a network, their states, the users in a network and their activities. This thesis provides a unified distribution-based methodology for online detection of anomalies in network traffic streams. The methodology is distribution-based in that it regards the traffic stream as a time series of ...

One of the first publications of Prakash Panangaden is about compositional semantics of digital networks, back in 1984. Digital networks transform streams of input signals to streams of output signals. If the output streams of the components of the network are functions of their input streams, then the behavior of the entire network can be nicely characterized by a recursive stream function. In...

MobiWeb is a proxy-based network architecture designed to enhance the performance of adaptive real-time streams over wireless Internet links. MobiWeb includes a priority scheme that preserves media smoothness despite short-term fluctuations of the link, as well as an adaptation mechanism applied to streams responding to long-term link changes and handoffs. A set of timers permits the rapid expl...

This paper addresses causal inference and modeling over event streams where data have high throughput and are unbounded. The availability of large amount of data along with the high data throughput present several new challenges related to causal modeling, such as the need for fast causal inference operations while ensuring consistent and valid results. There is no existing work specifically fo...