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README.md

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Now, you are ready to go. For how to use FlexPipe, please check [**our tutorial in Wiki**](https://github.com/gt-flexr/FlexPipe/wiki)!
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## For More Background around Stream Processing and Its benefits
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FlexPipe is inspired and built on the top of RaftLib. For the more theoretic and conceptual background, it would be very helpful to read the RaftLib paper [2].
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Additionally, about the problem space that addresses issues of distributed stream processing in millisecond-scale, interactive, and multimedia applications, please check the FleXR paper [1].
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## Citation
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[1] Heo, J., Bhardwaj, K., & Gavrilovska, A. (2023, June). [FleXR: A System Enabling Flexibly Distributed Extended Reality](https://dl.acm.org/doi/abs/10.1145/3587819.3590966). In Proceedings of the 14th Conference on ACM Multimedia Systems (pp. 1-13).
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BibTex
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```
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@inproceedings{heo2023flexr,
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title={FleXR: A System Enabling Flexibly Distributed Extended Reality},
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pages={1--13},
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year={2023}
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}
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```
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```
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## References
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[1] Heo, J., Bhardwaj, K., & Gavrilovska, A. (2023, June). [FleXR: A System Enabling Flexibly Distributed Extended Reality](https://dl.acm.org/doi/abs/10.1145/3587819.3590966). In Proceedings of the 14th Conference on ACM Multimedia Systems (pp. 1-13).
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[2] Jonathan C Beard, Peng Li, and Roger D Chamberlain. 2017. RaftLib: a C++ tem-plate library for high performance stream parallel processing.The InternationalJournal of High Performance Computing Applications31, 5 (2017), 391–404.
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https://www.jonathanbeard.io/pdf/blc16.pdf

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