Abstract
Hadoop Remote Procedure Call (RPC) is increasingly being used with other data-center middlewares such as MapReduce, HDFS, and HBase in many data-centers (e.g. Facebook, Yahoo!) because of its simplicity, productivity, and high performance. For RPC systems, achieving low latency and high throughput is critical. However, a standardized benchmark suite that focuses on helping users evaluate the performance of standalone Hadoop RPC is lacking in current Apache Hadoop distribution. In this paper, we design and develop a micro-benchmark suite that can be used to evaluate the performance of Hadoop RPC in terms of latency and throughput with different data types. We show how this benchmark suite can be used to evaluate the performance of Hadoop RPC over different networks/protocols and parameter configurations on modern clusters.
This research is supported in part by National Science Foundation grants #OCI-0926691, #OCI-1148371 and #CCF-1213084.
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Lu, X., Wasi-ur-Rahman, M., Islam, N.S., Panda, D.K.(. (2014). A Micro-benchmark Suite for Evaluating Hadoop RPC on High-Performance Networks. In: Rabl, T., Raghunath, N., Poess, M., Bhandarkar, M., Jacobsen, HA., Baru, C. (eds) Advancing Big Data Benchmarks. WBDB WBDB 2013 2013. Lecture Notes in Computer Science(), vol 8585. Springer, Cham. https://doi.org/10.1007/978-3-319-10596-3_3
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DOI: https://doi.org/10.1007/978-3-319-10596-3_3
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