Self‐adaptation on parallel stream processing: A systematic review

Author:

Vogel Adriano12ORCID,Griebler Dalvan13ORCID,Danelutto Marco2ORCID,Fernandes Luiz Gustavo1ORCID

Affiliation:

1. School of Technology Pontifical Catholic University of Rio Grande do Sul (PUCRS) Porto Alegre Brazil

2. Department of Computer Science University of Pisa (UNIPI) Pisa Italy

3. Laboratory of Advanced Research on Cloud Computing (LARCC) Três de Maio Faculty (SETREM) Três de Maio Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Cited by 13 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. Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems;Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

2. Performance and programmability of GrPPI for parallel stream processing on multi-cores;The Journal of Supercomputing;2024-02-26

3. Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing;Lecture Notes in Computer Science;2024

4. A systematic mapping of performance in distributed stream processing systems;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

5. On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods;Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems;2023-06-27

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