Abstract
Thousands of resumes are sent to companies every year and it takes abundant time to authenticate the resumes. Blockchain (Hyperledger fabric) with its consensus algorithm, kafka-based ordering service, is a new solution to this issue, but it can not adapt to the dynamic workloads in real-time. This paper investigates an adaptive tuning mechanism based on feedback control theory to adjust the parameters connected to its consensus algorithm. In order to evaluate its efficiency, experiments have been done to compare the performance with the original kafka-based ordering service.
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Xu, L., Ma, X., Xu, L. (2019). A Novel Adaptive Tuning Mechanism for Kafka-Based Ordering Service. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_14
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DOI: https://doi.org/10.1007/978-3-030-30952-7_14
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