Stream processing languages and stream processing engines have become more popular as they emerged from several modern data stream intensive applications such as sensor monitoring, stock markets and network monitoring. This study discusses the characteristics and features of the stream processing technology to provide an in-depth high-level guidance and comparison for stream processing systems and its underlying languages and technology with respect to the characteristics and features used by certain applications. The overall aim of this paper is to analyze and to identify the desired features of stream processing languages and to evaluate a few representative stream processing systems and languages on the basis of those desired features. T...
AbstractReal-time data stream processing technologies play an important role in enabling time-critic...
This paper presents both a calculus for stream processing, named Brooklet, and its realization as an...
Various research communities have independently arrived at stream processing as a programming model ...
Stream processing languages and stream processing engines have become more popu-lar as they emerged ...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
In the era of big data, an unprecedented amount of data is generated every second. The real time ana...
Due to the rise of continuous data-generating applications, analyzing data streams has gained increa...
Stream programs represent an important class of high-performance computations. Defined by their reg...
Recently, significant efforts have focused on developing novel data-processing systems to support a ...
Various research communities have independently arrived at stream processing as a programming model ...
This thesis concludes the evaluation of a new high level programming language for stream application...
The continuous processing of streaming data has become an important aspect in many applications. Ove...
Developers increasingly use streaming languages to write their data processing applications. While a...
RATE TYPES is a novel type system to reason about and optimize data-intensive programs. Built around...
AbstractReal-time data stream processing technologies play an important role in enabling time-critic...
This paper presents both a calculus for stream processing, named Brooklet, and its realization as an...
Various research communities have independently arrived at stream processing as a programming model ...
Stream processing languages and stream processing engines have become more popu-lar as they emerged ...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
In the era of big data, an unprecedented amount of data is generated every second. The real time ana...
Due to the rise of continuous data-generating applications, analyzing data streams has gained increa...
Stream programs represent an important class of high-performance computations. Defined by their reg...
Recently, significant efforts have focused on developing novel data-processing systems to support a ...
Various research communities have independently arrived at stream processing as a programming model ...
This thesis concludes the evaluation of a new high level programming language for stream application...
The continuous processing of streaming data has become an important aspect in many applications. Ove...
Developers increasingly use streaming languages to write their data processing applications. While a...
RATE TYPES is a novel type system to reason about and optimize data-intensive programs. Built around...
AbstractReal-time data stream processing technologies play an important role in enabling time-critic...
This paper presents both a calculus for stream processing, named Brooklet, and its realization as an...
Various research communities have independently arrived at stream processing as a programming model ...