As an important basis for network management, effective network measurement is critical for
improving network performance and security. As an efficient tool for network measurement …

Sampling has become an integral part of passive network measurement. This role is driven
by the need to control the consumption of resources in the measurement infrastructure under …

OpenFlow is a great concept, but its original design imposes excessive overheads. It can
simplify network and traffic management in enterprise and data center environments …

In the data stream scenario, input arrives very rapidly and there is limited memory to store
the input. Algorithms have to work with one or few passes over the data, space less than …

We propose an integrated approach for solving both problems of finding the most popular k
elements, and finding frequent elements in a data stream. Our technique is efficient and …

This article defines C-SPARQL, an extension of SPARQL whose distinguishing feature is the
support of continuous queries, ie queries registered over RDF data streams and then …

We describe a new algorithm called FrequentDirections for deterministic matrix sketching in
the row-update model. The algorithm is presented an arbitrary input matrix A ∈ R^ n * d one …

Approximate stream processing algorithms, such as Count-Min sketch, Space-Saving, etc.,
support numerous applications in databases, storage systems, networking, and other …

Recording the frequency of items in highly skewed data streams is a fundamental and hot
problem in recent years. The literature demonstrates that sketch is the most promising …

High-speed monitoring of Internet traffic is an important and challenging problem, with
applications to real-time attack detection and mitigation, traffic engineering, etc. However …