Low Latency, High Throughput Trade Surveillance System Using In-Memory Data Grid-Reference-Cited by-同舟云学术

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Low Latency, High Throughput Trade Surveillance System Using In-Memory Data Grid

Published:2018-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems
language:
Short-container-title:

Author:

Bansod Rishikesh¹,Virk Rupinder¹,Raval Mehul²

Affiliation:

1. TCS Research, Mumbai, India

2. TCS, Mumbai, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3210284.3219773

Reference8 articles.

1. Apache Ignite. 2018. Apache Ignite Version 1.9.0 Open source memory-centric distributed database caching and processing platform. https://ignite.apache.org/ Apache Ignite. 2018. Apache Ignite Version 1.9.0 Open source memory-centric distributed database caching and processing platform. https://ignite.apache.org/

2. Apache Kafka. 2018. Apache Kafka Version 0.11.0.1. https://kafka.apache.org/ Apache Kafka. 2018. Apache Kafka Version 0.11.0.1. https://kafka.apache.org/

3. H2. 2018. H2 Database Engine. http://www.h2database.com/html/main.html H2. 2018. H2 Database Engine. http://www.h2database.com/html/main.html

4. A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT)

5. Use at your own risk: the Java unsafe API in the wild

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EA2-IMDG: Efficient Approach of Using an In-Memory Data Grid to Improve the Performance of Replication and Scheduling in Grid Environment Systems;Computation;2023-03-20

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