Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process more data at highe...
This experience paper summarizes the key lessons we learned throughout the design and implementation of the Aurora stream processing engine. For the past two years, we have built f...
Hari Balakrishnan, Magdalena Balazinska, Donald Ca...
Overload management has been an important problem for large-scale dynamic systems. In this paper, we study this problem in the context of our Borealis distributed stream processin...
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...