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Concurrent data structures for efficient streaming aggregation

Published:2014-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures
language:
Short-container-title:

Author:

Cederman Daniel¹,Gulisano Vincenzo¹,Nikolakopoulos Yiannis¹,Papatriantafilou Marina¹,Tsigas Philippas¹

Affiliation:

1. Chalmers University of Technology, Gothenburg, Sweden

Funder

Chalmers Energy Area of Advance and by the Chalmers Center for E-science

SysSec Project

Seventh Framework Programme

Publisher

ACM

Reference14 articles.

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

2. Understanding and improving the cost of scaling distributed event processing

3. Fault-tolerance in the borealis distributed stream processing system

4. Adaptive input admission and management for parallel stream processing

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1. ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join;IEEE Transactions on Big Data;2021-06-01

2. Shared-Memory Parallel Hash-Based Stream Join in Continuous Data Streams;Lecture Notes in Computer Science;2021

3. Viper: A module for communication-layer determinism and scaling in low-latency stream processing;Future Generation Computer Systems;2018-11

4. Power-aware pipelining with automatic concurrency control;Concurrency and Computation: Practice and Experience;2018-08-14

5. Viper: Communication-Layer Determinism and Scaling in Low-Latency Stream Processing;Euro-Par 2017: Parallel Processing Workshops;2018

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