Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures-Reference-Cited by-同舟云学术

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Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures

Published:2021-07 Issue: Volume:25 Page:100209
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Henning Sören^ORCID,Hasselbring Wilhelm^ORCID

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference70 articles.

1. The rise of “big data” on cloud computing;Hashem;Inf. Syst.,2015

2. Operational stream processing: towards scalable and consistent event-driven applications;Katsifodimos,2019

3. Microservices for scalability: keynote talk abstract;Hasselbring,2016

4. Microservice architectures for scalability, agility and reliability in e-commerce;Hasselbring,2017

5. Samza: stateful scalable stream processing at LinkedIn;Noghabi;Proc. VLDB Endow.,2017

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1. Data processing in internet of things networks;LatIA;2024-08-21

2. Performance Modeling of Distributed Data Processing in Microservice Applications;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2024-08-20

3. ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks;Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

4. Self-Service Performance Testing Platform for Autonomous Development Teams;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

5. Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud;Journal of Systems and Software;2024-02

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