Storm has long served as the main platform for real-time analytics at Twitter. However, as the
scale of data being processed in real-time at Twitter has increased, along with an increase …

This paper describes the use of Storm at Twitter. Storm is a real-time fault-tolerant and
distributed stream data processing system. Storm is currently being used to run various …

Borealis is a second-generation distributed stream processing engine that is being
developed at Brandeis University, Brown University, and MIT. Borealis inherits core stream …

In recent years, there has been an explosion of large-scale real-time analytics needs and a
plethora of streaming systems have been developed to support such applications. These …

In this paper, we present Spade-the System S declarative stream processing engine. System
S is a large-scale, distributed data stream processing middleware under development at IBM …

This article defines C-SPARQL, an extension of SPARQL whose distinguishing feature is the
support of continuous queries, ie queries registered over RDF data streams and then …

Efficient streaming graph processing systems leverage incremental processing by updating
computed results to reflect the change in graph structure for the latest graph snapshot …

Overlay networks are used today in a variety of distributed systems ranging from file-sharing
and storage systems to communication infrastructures. However, designing, building and …

Continuous processing of a streaming graph maintains an approximate result of the iterative
computation on a recent version of the graph. Upon a user query, the accurate result on the …

Fraud is growing noticeably with the expansion of modern technology and the universal
superhighways of communication, resulting in the loss of billions of dollars worldwide each …