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- W4309043606 abstract "Real-time Big Data architectures evolved into specialized layers for handling data streams' ingestion, storage, and processing over the past decade. Layered streaming architectures integrate pull-based read and push-based write RPC mechanisms implemented by stream ingestion/storage systems. In addition, stream processing engines expose source/sink interfaces, allowing them to decouple these systems easily. However, open-source streaming engines leverage workflow sources implemented through a pull-based approach, continuously issuing read RPCs towards the stream ingestion/storage, effectively competing with write RPCs. This paper proposes a unified streaming architecture that leverages push-based and/or pull-based source implementations for integrating ingestion/storage and processing engines that can reduce processing latency and increase system read and write throughput while making room for higher ingestion. We implement a novel push-based streaming source by replacing continuous pull-based RPCs with one single RPC and shared memory (storage and processing handle streaming data through pointers to shared objects). To this end, we conduct an experimental analysis of pull-based versus push-based design alternatives of the streaming source reader while considering a set of stream benchmarks and microbenchmarks and discuss the advantages of both approaches." @default.
- W4309043606 created "2022-11-21" @default.
- W4309043606 creator A5058311932 @default.
- W4309043606 creator A5080771130 @default.
- W4309043606 date "2022-11-10" @default.
- W4309043606 modified "2023-09-30" @default.
- W4309043606 title "Colocating Real-time Storage and Processing: An Analysis of Pull-based versus Push-based Streaming" @default.
- W4309043606 doi "https://doi.org/10.48550/arxiv.2211.05857" @default.
- W4309043606 hasPublicationYear "2022" @default.
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