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On the role of message broker middleware for many-task computing on a big-data platform

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Abstract

We have designed and implemented a new data processing framework called “Many-task computing On HAdoop” (MOHA) which aims to effectively support fine-grained many-task applications that can show another type of data-intensive workloads in the YARN-based Hadoop 2.0 platform. MOHA is developed as one of Hadoop YARN applications so that it can transparently co-host existing many-task computing (MTC) applications with other data processing workflows such as MapReduce in a single Hadoop cluster. In this paper, we investigate main characteristics of two well-known open-source message broker middleware systems (Apache ActiveMQ and Kafka) and their implications on a many-task management scheme in our MOHA framework. Through our extensive experiments with a real MTC application, we demonstrate and discuss trade-offs between parallelism and load balancing of data access patterns in message broker middleware systems for Many-Task Computing on Hadoop.

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Acknowledgements

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. R0190-16-2012, High Performance Big Data Analytics Platform Performance Acceleration Technologies Development), and Basic Science Research Pro- gram through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2015R1C1A1A02036524).

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Authors and Affiliations

  1. Korea Institute of Science and Technology Information, University of Science & Technology, Daejeon, Republic of Korea

    Cao Ngoc Nguyen & Soonwook Hwang

  2. School of Electronics and Information Engineering, Korea Aerospace University, Goyang, Republic of Korea

    Jaehwan Lee

  3. Department of Computer Engineering, Myongji University, Yongin, Republic of Korea

    Jik-Soo Kim

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  1. Cao Ngoc Nguyen
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  2. Jaehwan Lee
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Correspondence to Jik-Soo Kim.

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Nguyen, C.N., Lee, J., Hwang, S. et al. On the role of message broker middleware for many-task computing on a big-data platform. Cluster Comput 22 (Suppl 1), 2527–2540 (2019). https://doi.org/10.1007/s10586-018-2634-9

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