Efficient Messaging for Java Applications Running in Data Centers

Kevin Beineke, Stefan Nothaas, M. Schöttner
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引用次数: 9

Abstract

Big data and large-scale Java applications often aggregate the resources of many servers. Low-latency and high-throughput network communication is important, if the applications have to process many concurrent interactive queries. We designed DXNet to address these challenges providing fast object de-/serialization, automatic connection management and zero-copy messaging. The latter includes sending of asynchronous messages as well as synchronous requests/responses and an event-driven message receiving approach. DXNet is optimized for small messages (< 64 bytes) in order to support highly interactive web applications, e.g., graph-based information retrieval, but works well with larger messages (e.g., 8 MB) as well. DXNet is available as standalone component on Github and its modular design is open for different transports currently supporting Ethernet and InfiniBand. The evaluation with micro benchmarks and YCSB using Ethernet and InfiniBand shows request-response latencies sub 10 µs (round-trip) including object de-/serialization, as well as a maximum throughput of more than 9 GByte/s.
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在数据中心中运行的Java应用程序的高效消息传递
大数据和大规模Java应用程序通常会聚合许多服务器的资源。如果应用程序必须处理许多并发交互式查询,那么低延迟和高吞吐量的网络通信非常重要。我们设计DXNet来解决这些挑战,提供快速对象反序列化、自动连接管理和零拷贝消息传递。后者包括异步消息的发送以及同步请求/响应和事件驱动的消息接收方法。DXNet针对小消息(< 64字节)进行了优化,以便支持高度交互的web应用程序,例如,基于图的信息检索,但也可以很好地处理较大的消息(例如,8 MB)。DXNet作为独立组件在Github上可用,其模块化设计对目前支持以太网和InfiniBand的不同传输开放。使用以太网和InfiniBand的微基准测试和YCSB的评估显示,请求-响应延迟低于10µs(往返),包括对象反/序列化,以及超过9 GByte/s的最大吞吐量。
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