There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
The popularity of distributed interactive applications has exploded in the last few years. For example, massive multi-player online games have become a fast growing, multi-million...
In this paper 1 we are concerned with disseminating high-volume data streams to many simultaneous applications over a low-bandwidth wireless mesh network. For bandwidth efficiency...