Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Multimedia devices demands a platform integrated various functional modules and an increasing support of multiple standards. Stream architecture is able to solve the problem. Howev...
The MISP Processor is a programmable media processor which supports multi-issuing, multi-threading and stream processing techniques. MISP executes applications that have been mapp...
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
— XML stream applications bring the challenge of efficiently processing queries on sequentially accessible tokenbased data. For efficient processing of queries, we need to ensu...
Mingzhu Wei, Ming Li, Elke A. Rundensteiner, Mural...
In this paper, we describe the challenges of prototyping a reference application on System S, a distributed stream processing middleware under development at IBM Research. With a ...
Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hi...
We present lower bounds on the space required to estimate the quantiles of a stream of numerical values. Quantile estimation is perhaps the most studied problem in the data stream ...
We present an algorithm for finding frequent elements in a stream where the arrivals are not bursty. Depending on the amount of burstiness in the stream our algorithm detects elem...
There has recently been much interest in stream processing, both in industry (e.g., Cell, NVIDIA G80, ATI R580) and academia (e.g., Stanford Merrimac, MIT RAW), with stream progra...
Jayanth Gummaraju, Mattan Erez, Joel Coburn, Mende...
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...