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P-Scheduler

Published:2016-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Australasian Computer Science Week Multiconference
language:
Short-container-title:

Author:

Eskandari Leila¹,Huang Zhiyi¹,Eyers David¹

Affiliation:

1. University of Otago, Dunedin, New Zealand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2843043.2843056

Reference27 articles.

1. Apache Hadoop. http://hadoop.apache.org/. Apache Hadoop. http://hadoop.apache.org/.

2. Apache Samza. http://samza.apache.org/. Apache Samza. http://samza.apache.org/.

3. Apache Spark Streaming. http://spark.apache.org/streaming/. Apache Spark Streaming. http://spark.apache.org/streaming/.

4. Apache Storm. https://storm.apache.org/. Apache Storm. https://storm.apache.org/.

5. Apache Zookeeper. http://zookeeper.apache.org/. Apache Zookeeper. http://zookeeper.apache.org/.

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based real-time task scheduling for Apache Storm;Sensors and Systems for Space Applications XVII;2024-06-06

2. GT-scheduler: a hybrid graph-partitioning and tabu-search based task scheduler for distributed data stream processing systems;Cluster Computing;2024-02-13

3. Latency-Aware Placement of Stream Processing Operators;Lecture Notes in Computer Science;2024

4. A scheduling algorithm to maximize storm throughput in heterogeneous cluster;Journal of Big Data;2023-06-17

5. A state lossless scheduling strategy in distributed stream computing systems;Journal of Network and Computer Applications;2022-10

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