Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads

Author:

Frasca Fausto1ORCID,Gulisano Vincenzo2ORCID,Mencagli Gabriele1ORCID,Palyvos-Giannas Dimitris2ORCID,Torquati Massimo1ORCID

Affiliation:

1. University of Pisa, Pisa, Italy

2. Chalmers University of Technology, Göteborg, Sweden

Funder

H2020 European Research Council

University of Pisa

National Resilience and Recovery Plan (PNRR) through the National Center for HPC, Big Data and Quantum Computing

Publisher

ACM

Reference17 articles.

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2. 2020. Apache Storm . http://storm.apache.org/. [Online ; accessed 26- Feb- 2020 ]. 2020. Apache Storm. http://storm.apache.org/. [Online; accessed 26-Feb-2020].

3. Aurora: a new model and architecture for data stream management

4. Swarup Acharya and S. Muthukrishnan . 1998. Scheduling On-Demand Broadcasts: New Metrics and Algorithms . In Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking ( Dallas, Texas, USA) (MobiCom '98). Association for Computing Machinery, New York, NY, USA, 43--54. https://doi.org/10.1145/288235.288248 10.1145/288235.288248 Swarup Acharya and S. Muthukrishnan. 1998. Scheduling On-Demand Broadcasts: New Metrics and Algorithms. In Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking (Dallas, Texas, USA) (MobiCom '98). Association for Computing Machinery, New York, NY, USA, 43--54. https://doi.org/10.1145/288235.288248

5. Henrique C. M. Andrade , Bugra Gedik , and Deepak S . Turaga . 2014 . Fundamentals of Stream Processing: Application Design , Systems, and Analytics (1st ed.). Cambridge University Press , New York, NY, USA. Henrique C. M. Andrade, Bugra Gedik, and Deepak S. Turaga. 2014. Fundamentals of Stream Processing: Application Design, Systems, and Analytics (1st ed.). Cambridge University Press, New York, NY, USA.

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