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https://doi.acm.org/10.1145/1462728.1462730
Parallel versions for common components have being designed, but complex or user-defined components are normally limited by single thread performance. In this work, we use optimistic parallelization approaches to harness the potential of multi-core processors to scale the performance of stateful operators in event stream applications.Cited by: 3
https://www.researchgate.net/publication/221461198_Optimistic_parallelization_support_for_event_stream_processing_systems
Request PDF Optimistic parallelization support for event stream processing systems Event stream applications consist of an acyclic graph of components that are traversed by streams of events.Author: Andrey Brito
https://aws.amazon.com/about-aws/whats-new/2019/11/aws-lambda-supports-parallelization-factor-for-kinesis-and-dynamodb-event-sources/
Nov 25, 2019 · AWS Lambda now supports Parallelization Factor, a feature that allows you to process one shard of a Kinesis or DynamoDB data stream with more than one Lambda invocation simultaneously. This new feature allows you to build more agile stream processing applications on volatile data traffic.
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization
Leverage query parallelization in Azure Stream Analytics. 05/07/2018; 13 minutes to read +6; In this article. This article shows you how to take advantage of parallelization in Azure Stream Analytics. You learn how to scale Stream Analytics jobs by configuring input partitions and tuning the analytics query definition.
http://www.cs.rpi.edu/~chrisc/publications/bauer-wsc-2006.pdf
ELIMINATING REMOTE MESSAGE PASSING IN OPTIMISTIC SIMULATION David W. Bauer Jr. The MITRE Corporation 7525 Colshire Drive ... event in a model causes a stream of events to be gener-ated for execution. By focusing on the parallelization ... that causally orders the events for processing by that PE. All other simulator facilities are handled in a sim-
https://engineering.purdue.edu/~milind/docs/ngs07.pdf
Scheduling Issues in Optimistic Parallelization Milind Kulkarni and Keshav Pingali University of Texas at Austin Department of Computer Science Austin, TX {milind, pingali}@cs.utexas.edu Abstract Irregular applications, which rely on pointer-based data structures, are often difficult to parallelize. The input-
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005158422
Event stream processing (ESP) applications target the real-time processing of huge amounts of data. Events traverse a graph of stream processing operators where the information of interest is extracted. As these applications gain popularity, the requirements for scalability, availability, and dependability increase. In terms of dependability and availability, many …
https://www.sas.com/en_us/insights/articles/big-data/3-things-about-event-stream-processing.html
As more data is generated from our devices, sensors and “things,” more of it will need to be analyzed while it is still streaming. One way you can analyze IoT data while it's in motion is with event stream processing. This is a term that most analysts and data scientists understand, but many business leaders do not.
https://dl.acm.org/citation.cfm?id=1462728
Balancing between research and communication skills was the focus for this year's Middleware Doctoral Symposium, held in Leuven (Belgium) in December 2008. ... Optimistic parallelization support for event stream processing systems ... Full text: Pdf: Event stream applications consist of an acyclic graph of components that are traversed by ...
https://www.researchgate.net/publication/4332837_Conservative_vs_Optimistic_Parallelization_of_Stateful_Network_Intrusion_Detection
The performance shows 4.1 speedup on 8 processors at best for conservative parallelization and 3.0 speedup on 6 processors for optimistic parallelization. ... Distributed Processing of Snort Alert ...
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