BAN-Storm: a Bandwidth-Aware Scheduling Mechanism for Stream Jobs-Reference-Cited by-同舟云学术

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BAN-Storm: a Bandwidth-Aware Scheduling Mechanism for Stream Jobs

Published:2021-06-20 Issue:3 Volume:19 Page:
ISSN:1570-7873
Container-title:Journal of Grid Computing
language:en
Short-container-title:J Grid Computing

Author:

Muhammad Asif^ORCID,Aleem Muhammad

Funder

National University of Computer and Emerging Sciences Islamabad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10723-021-09567-x.pdf

Reference39 articles.

1. Chen, M., Mao, S., Liu, Y.: Big data: A survey. Mob. Networks Appl. 19, 171–209 (2014). https://doi.org/10.1007/s11036-013-0489-0

2. Wikipedia, F.: Apache Hadoop , https://hadoop.apache.org/

3. Freiknecht, J., Papp, S.: Apache Kafka, https://kafka.apache.org/documentation/streams/

4. Storm, A.: Storm Documentation, https://storm.incubator.apache.org/documentation/Home.html

5. Foundation, A.S.: Apache Spark™ - Unified Analytics Engine for Big Data, https://spark.apache.org/

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2. An improved scheduling with advantage actor-critic for Storm workloads;Cluster Computing;2024-06-29

3. BigRC-EML: big-data based ransomware classification using ensemble machine learning;Cluster Computing;2022-03-15

4. A cost-efficient scheduling algorithm for streaming processing applications on cloud;Cluster Computing;2021-11-06

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