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Intra-query Concurrent Pipelined Processing for Distributed Full-Text Retrieval

机译:分布式全文检索的查询内并发流水线处理

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Pipelined query processing over a term-wise distributed inverted index has superior throughput at high query multiprogramming levels. However, due to long query latencies this approach is inefficient at lower levels. In this paper we explore two types of intra-query parallelism within the pipelined approach, parallel execution of a query on different nodes and concurrent execution on the same node. According to the experimental results, our approach reaches the throughput of the state-of-the-art method at about half of the latency. On the single query case the observed latency improvement is up to 2.6 times.
机译:在高查询多编程级别上,按词项分布的反向索引进行的流水线查询处理具有出色的吞吐量。但是,由于查询等待时间长,这种方法在较低级别上效率低下。在本文中,我们探索了流水线方法中的两种类型的查询内并行性:在不同节点上并行执行查询和在同一节点上并行执行。根据实验结果,我们的方法以大约一半的延迟达到了最新方法的吞吐量。在单个查询的情况下,观察到的延迟改进高达2.6倍。

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