Basic message processing tasks, such as wellformedness checking and grammar validation, can be off-loaded from the service providers' own infrastructures. To enable effective...
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 process of managing inconsistency is a fundamental activity that permeates a large part of the systems development process. Failure to identify inconsistencies may lead to maj...
Applications that require real-time processing of high-volume data steams are pushing the limits of traditional data processing infrastructures. These stream-based applications in...
Michael Stonebraker, Ugur Çetintemel, Stanley B. ...
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...