Abstract. Recent research efforts in the fields of data stream processing and data stream management systems (DSMSs) show the increasing importance of processing data streams, e. g...
ABSTRACT. This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-ca...
There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
In this paper, we present a novel feedback control-based load shedding scheme for data stream processing. Firstly we apply system identification to establish a dynamic model to de...
Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process....
Andreas Behrend, Frank Reichartz, Christian Dorau,...
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database...
In order to support continuous queries over data streams, a plethora of suitable techniques as well as prototypes have been developed and evaluated in recent years. In particular,...