A Latency Guaranteed Scheduling Strategy under Performance Constraints in Big Data Stream Computing Environments-Reference-Cited by-同舟云学术

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A Latency Guaranteed Scheduling Strategy under Performance Constraints in Big Data Stream Computing Environments

Published:2023-12-17 Issue: Volume: Page:2730-2733
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
language:
Short-container-title:

Author:

Sun Dawei¹,Guan Chengjun¹,Fan Yinuo¹,Rung Jia²,Gao Shang³

Affiliation:

1. China University of Geosciences,School of Information Engineering,Beijing,China,100083

2. Monash University,Department ofData Science & Al,Clayton,Victoria,Australia,3800

3. DeakinUniversity,School of Information Technology,Waum Ponds,Victoria,Australia,3216

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476091.pdf?arnumber=10476091

Reference5 articles.

1. DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing

2. A topology-based scaling mechanism for Apache Storm

3. Elasticutor

4. Task Scheduling Optimization Based on Firefly Algorithm in Storm

5. POTUS: Predictive Online Tuple Scheduling for Data Stream Processing Systems

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