Network Design Considerations for Trading Systems
Pages 282 - 289
Abstract
The quest to build scalable data center networks has driven much of the innovation in the networking community in recent decades. But the one-size-fits-all service model offered by these networks does not meet the needs of every application. In response, cloud providers have started to design custom clusters to support the specialized workloads used in finance, AI, high-performance computing, and other areas.
This paper pulls back the curtain on one such area: the low-latency networks used for algorithmic trading systems. We present requirements and architectures, and discuss implementation approaches that make different trade-offs in terms of performance, hardware requirements, and ease of management. We identify concrete steps for making it easier to design low-latency networks in the future.
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Published In
November 2024
394 pages
ISBN:9798400712722
DOI:10.1145/3696348
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Published: 18 November 2024
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