10.1109/RTAS.2009.27Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS195-20
The continuously increasing volume of data has had a huge impact on information systems and business...
In this paper we provide a mathematical characterization of systems, that contain analog components,...
International audienceFor the design of real-time embedded systems, analysis of performance and reso...
International audienceOver the last few years, Real-Time Calculus has been used extensively to model...
143 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.Stream processing emerged as ...
As users of “big data ” applications expect fresh results, we witness a new breed of stream processi...
Stream processing emerged as a paradigm to continuously process incoming live data streams, such as ...
10.1109/ICDE48307.2020.001362020 IEEE 36th International Conference on Data Engineering (ICDE)2020-A...
Stream processing has taken a prominent position in the software engineering industry. Many applicat...
Many real-time embedded systems process event streams that are composed of a finite number of differ...
International audienceLanguages for embedded systems ensure predictable timing behavior by specifyin...
This thesis is concerned with the specification, compilation and corresponding temporal analysis of ...
ABSTRACT: When modeling fault-tolerant systems, state-based methods yield much more realistic result...
A robust system is one that can ensure essential services in spite of faults and failures in useful ...
In this paper we study the timing aspects of the operation of stream-processing applications that ru...
The continuously increasing volume of data has had a huge impact on information systems and business...
In this paper we provide a mathematical characterization of systems, that contain analog components,...
International audienceFor the design of real-time embedded systems, analysis of performance and reso...
International audienceOver the last few years, Real-Time Calculus has been used extensively to model...
143 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.Stream processing emerged as ...
As users of “big data ” applications expect fresh results, we witness a new breed of stream processi...
Stream processing emerged as a paradigm to continuously process incoming live data streams, such as ...
10.1109/ICDE48307.2020.001362020 IEEE 36th International Conference on Data Engineering (ICDE)2020-A...
Stream processing has taken a prominent position in the software engineering industry. Many applicat...
Many real-time embedded systems process event streams that are composed of a finite number of differ...
International audienceLanguages for embedded systems ensure predictable timing behavior by specifyin...
This thesis is concerned with the specification, compilation and corresponding temporal analysis of ...
ABSTRACT: When modeling fault-tolerant systems, state-based methods yield much more realistic result...
A robust system is one that can ensure essential services in spite of faults and failures in useful ...
In this paper we study the timing aspects of the operation of stream-processing applications that ru...
The continuously increasing volume of data has had a huge impact on information systems and business...
In this paper we provide a mathematical characterization of systems, that contain analog components,...
International audienceFor the design of real-time embedded systems, analysis of performance and reso...
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