Comparative Evaluation of Java Virtual Machine-Based Message Queue Services: A Study on Kafka, Artemis, Pulsar, and RocketMQ Article Swipe
Md Showkat Hossain Chy
,
Muhammad Ashfakur Rahman Arju
,
Sri Manjusha Tella
,
Tomáš Černý
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12234792
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12234792
Message Queue (MQ) services play a vital role in modern distributed systems as they enable asynchronous communication between services and facilitate the decoupling of various components of the system. Among the many MQ services available, Kafka, Apache Pulsar, Artemis, and RocketMQ are popular choices, each offering unique features and capabilities. As the adoption of MQ services continues to grow, choosing the appropriate service that can meet the requirements of the system has become increasingly challenging. Therefore, a comprehensive comparison of these services is crucial to determine the most suitable one for a specific use-case. This research paper presents a thorough evaluation of these MQ services based on critical metrics such as CPU utilization, memory usage, garbage collection, latency, and throughput. Based on our extensive review, no other research has delved into such a detailed evaluation, thereby establishing our work as a cornerstone in this field. The results of our study offer valuable insights into the strengths and limitations of each service. Our findings indicate that each message queue behaves differently inside the Java Virtual Machine (JVM). This work aims to assist developers and researchers in strategically deploying and optimizing MQ services based on specific system and use-case requirements. In addition to providing machine metrics, our results demonstrate the performance of each message queue under different load scenarios, making it a valuable resource for those seeking to ensure the effective functioning of their MQ services.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics12234792
- https://www.mdpi.com/2079-9292/12/23/4792/pdf?version=1701068673
- OA Status
- gold
- Cited By
- 28
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389049807
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389049807Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics12234792Digital Object Identifier
- Title
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Comparative Evaluation of Java Virtual Machine-Based Message Queue Services: A Study on Kafka, Artemis, Pulsar, and RocketMQWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-27Full publication date if available
- Authors
-
Md Showkat Hossain Chy, Muhammad Ashfakur Rahman Arju, Sri Manjusha Tella, Tomáš ČernýList of authors in order
- Landing page
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https://doi.org/10.3390/electronics12234792Publisher landing page
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https://www.mdpi.com/2079-9292/12/23/4792/pdf?version=1701068673Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/12/23/4792/pdf?version=1701068673Direct OA link when available
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Computer science, Message queue, Java, Workflow, Service (business), Operating system, Distributed computing, Database, Economics, EconomyTop concepts (fields/topics) attached by OpenAlex
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28Total citation count in OpenAlex
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2025: 4, 2024: 21, 2023: 3Per-year citation counts (last 5 years)
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13Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Artemis, | 38 |
| abstract_inverted_index.RocketMQ | 40 |
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| corresponding_author_ids | https://openalex.org/A5058941408 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I138006243, https://openalex.org/I75717288 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.98937074 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |