In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumenta...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Enterprise distributed real-time and embedded (DRE) publish/subscribe (pub/sub) systems manage resources and data that are vital to users. Cloud computing—where computing resourc...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...