A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these app...
Weihan Wang, Mohamed A. Sharaf, Shimin Guo, M. Tam...
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...
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...
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Medusa [3, 6] is a distributed stream processing system based on the Aurora single-site stream processing engine [1]. We demonstrate how Medusa handles time-varying load spikes an...
Magdalena Balazinska, Hari Balakrishnan, Michael S...