Stream processing is a computing paradigm that has emerged from the necessity of
handling high volumes of data in real time. In contrast to traditional databases, stream …

Streaming process mining refers to the set of techniques and tools which have the goal of
processing a stream of data (as opposed to a finite event log). The goal of these techniques …

Abstract Vehicular Ad-hoc Networks (VANETs) are based on vehicle to infrastructure
communications in which the vehicles periodically broadcast information to update a Road …

In recent years the processing of continuous queries over potentially infinite data streams
has attracted a lot of research attention. We observed that the majority of work addresses …

There are many academic and commercial stream processing engines (SPEs) today, each
of them with its own execution semantics. This variation may lead to seemingly inexplicable …

Abstract Systems for fast views of items in file directories or file folders when interacting with
a cloud-based service platform. A server in a cloud-based environment interfaces with one …

In this paper, we present the first comprehensive survey of window types for stream
processing systems which have been presented in research and commercial systems. We …

(57) ABSTRACT A system and method for managing sizing of a plurality of sliding download
windows in a virtual file system com mences when a user device accesses a server in a …

We study persistent query evaluation over streaming graphs, which is becoming
increasingly important. We focus on navigational queries that determine if there exists a path …

Aggregation queries on data streams are evaluated over evolving and often overlapping
logical views called windows. While the aggregation of periodic windows were extensively …