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Abstract

Large scale in-memory key-value stores like RAMCloud can perform millions of operations per second per server with a few microseconds of access latency. However, these systems often only provide simple feature sets, and the lack of extensibility is an obstacle for building higher-level services. We evaluate the possibility of using JavaScript for shipping computation to data and for extending database functionality by comparing against other possible approaches.

Microbenchmarks are promising; the V8 JavaScript runtime provides near native performance with reduced isolation costs when compared with native code and hardware-based protections. We conclude with initial thoughts on how this technology can be deployed for fast procedures that operate on in-memory data, that maximize gains from JIT, and that exploit the kernel-bypass DMA capabilities of modern network cards.

Bibtex

@inproceedings{zhang:sandstorm,
  author = { Tian Zhang and Ryan Stutsman },
  title = { {JavaScript for Extending Low-latency In-memory Key-value Stores} },
  booktitle = {Proceedings of the 9th USENIX Conference on Hot Topics in Cloud Computing},
  series = {HotCloud'17},
  year = {2017},
  location = {Santa Clara, California},
  publisher = {USENIX Association},
  address = {Berkeley, CA, USA},
  url = {http://www.usenix.org/conference/hotcloud17/program/presentation/zhang},
}

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