10.1145/2335484.2335515Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems, DEBS'12278-28
As more aspects of our daily lives are being computerized, ever larger amounts of data are being pro...
Stateful scheduling is of critical importance for the performance of a distributed stream computing ...
Cataloged from PDF version of article.In this paper we study partitioning functions for stream proc...
10.1109/ICDE48307.2020.001362020 IEEE 36th International Conference on Data Engineering (ICDE)2020-A...
Streaming applications transform possibly infinite streams of data and often have both high throughp...
International audienceNowadays, more and more sources (connected devices, social networks, etc.) emi...
In this paper, we study partitioning functions for stream processing systems that employ stateful da...
Streaming applications process possibly infinite streams of data and often have both high throughput...
Stream processing has a long history as a way of describing and implementing specific kinds of compu...
The topic of Data Stream Processing is a recent and highly active research area dealing with the in-...
The topic of Data Stream Processing is a recent and highly active research area dealing with the in-...
We introduce a set of state access patterns suitable for managing accesses to state in parallel comp...
Deploying an infrastructure to execute queries on distributed data streams sources requires to ident...
This article addresses the profitability problem associated with auto-parallelization of general-pur...
Stream processing has taken a prominent position in the software engineering industry. Many applicat...
As more aspects of our daily lives are being computerized, ever larger amounts of data are being pro...
Stateful scheduling is of critical importance for the performance of a distributed stream computing ...
Cataloged from PDF version of article.In this paper we study partitioning functions for stream proc...
10.1109/ICDE48307.2020.001362020 IEEE 36th International Conference on Data Engineering (ICDE)2020-A...
Streaming applications transform possibly infinite streams of data and often have both high throughp...
International audienceNowadays, more and more sources (connected devices, social networks, etc.) emi...
In this paper, we study partitioning functions for stream processing systems that employ stateful da...
Streaming applications process possibly infinite streams of data and often have both high throughput...
Stream processing has a long history as a way of describing and implementing specific kinds of compu...
The topic of Data Stream Processing is a recent and highly active research area dealing with the in-...
The topic of Data Stream Processing is a recent and highly active research area dealing with the in-...
We introduce a set of state access patterns suitable for managing accesses to state in parallel comp...
Deploying an infrastructure to execute queries on distributed data streams sources requires to ident...
This article addresses the profitability problem associated with auto-parallelization of general-pur...
Stream processing has taken a prominent position in the software engineering industry. Many applicat...
As more aspects of our daily lives are being computerized, ever larger amounts of data are being pro...
Stateful scheduling is of critical importance for the performance of a distributed stream computing ...
Cataloged from PDF version of article.In this paper we study partitioning functions for stream proc...
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