RDMA-Based Apache Storm for High-Performance Stream Data Processing

Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact on overall system performance. Apache Storm current...

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Vydané v:	International journal of parallel programming Ročník 49; číslo 5; s. 671 - 684
Hlavní autori:	Zhang, Ziyu, Liu, Zitan, Jiang, Qingcai, Chen, Junshi, An, Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2021 Springer Nature B.V
Predmet:	2020 Central processing units Communication Computer Science Copying CPUs Data processing Ethernet Fault tolerance Performance evaluation Processor Architectures Software Engineering/Programming and Operating Systems Special Issue on Network and Parallel Computing for Emerging Architectures and Applications TCP (protocol) TCP/IP (protocol) Technology assessment Theory of Computation RDMA Apache Storm Cloud computing InfiniBand Communication optimization Stream-processing framework
ISSN:	0885-7458, 1573-7640
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Abstract	Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact on overall system performance. Apache Storm currently uses Netty as its communication component, an asynchronous server/client framework based on TCP/IP protocol stack. The TCP/IP protocol stack has inherent performance flaws due to frequent memory copying and context switching. The Netty component not only limits the performance of the Storm but also increases the CPU load in the IPoIB (IP over InfiniBand) communication mode. In this paper, we introduce two new implementations for Apache Storm communication components with the help of RDMA technology. The performance evaluation on Mellanox QDR Cards (40 Gbps) shows that our implementations can achieve speedup up to 5 × compared with IPoIB and 10 × with Gigabit Ethernet. Our implementations also significantly reduce the CPU load and increase the throughput of the system.
AbstractList	Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact on overall system performance. Apache Storm currently uses Netty as its communication component, an asynchronous server/client framework based on TCP/IP protocol stack. The TCP/IP protocol stack has inherent performance flaws due to frequent memory copying and context switching. The Netty component not only limits the performance of the Storm but also increases the CPU load in the IPoIB (IP over InfiniBand) communication mode. In this paper, we introduce two new implementations for Apache Storm communication components with the help of RDMA technology. The performance evaluation on Mellanox QDR Cards (40 Gbps) shows that our implementations can achieve speedup up to 5× compared with IPoIB and 10× with Gigabit Ethernet. Our implementations also significantly reduce the CPU load and increase the throughput of the system. Apache Storm is a scalable fault-tolerant distributed real time stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact on overall system performance. Apache Storm currently uses Netty as its communication component, an asynchronous server/client framework based on TCP/IP protocol stack. The TCP/IP protocol stack has inherent performance flaws due to frequent memory copying and context switching. The Netty component not only limits the performance of the Storm but also increases the CPU load in the IPoIB (IP over InfiniBand) communication mode. In this paper, we introduce two new implementations for Apache Storm communication components with the help of RDMA technology. The performance evaluation on Mellanox QDR Cards (40 Gbps) shows that our implementations can achieve speedup up to 5 × compared with IPoIB and 10 × with Gigabit Ethernet. Our implementations also significantly reduce the CPU load and increase the throughput of the system.
Author	Zhang, Ziyu Jiang, Qingcai An, Hong Liu, Zitan Chen, Junshi
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Cites_doi	10.1016/j.csi.2020.103426 10.1007/s00778-003-0095-z 10.1145/3355399 10.1109/ACCESS.2020.3019302 10.1504/IJBIC.2020.105892 10.1016/j.future.2019.11.014 10.1007/s10766-017-0520-3 10.14778/3303753.3303758 10.14778/2824032.2824076 10.1007/s11227-019-02905-7 10.1109/COMST.2017.2746083 10.1145/2934664 10.1016/j.jpdc.2017.12.007 10.1145/3387514.3405849 10.1109/ICDE.2017.119 10.1109/IC2E.2015.67 10.1145/2523616.2523631 10.1145/3299869.3300067 10.1109/HPCC/SmartCity/DSS.2019.00144
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Title	RDMA-Based Apache Storm for High-Performance Stream Data Processing
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