research-article

Caribou: intelligent distributed storage

Authors:

Gustavo AlonsoAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 10, Issue 11

Pages 1202 - 1213

https://doi.org/10.14778/3137628.3137632

Published: 01 August 2017 Publication History

Abstract

The ever increasing amount of data being handled in data centers causes an intrinsic inefficiency: moving data around is expensive in terms of bandwidth, latency, and power consumption, especially given the low computational complexity of many database operations.

In this paper we explore near-data processing in database engines, i.e., the option of offloading part of the computation directly to the storage nodes. We implement our ideas in Caribou, an intelligent distributed storage layer incorporating many of the lessons learned while building systems with specialized hardware. Caribou provides access to DRAM/NVRAM storage over the network through a simple key-value store interface, with each storage node providing high-bandwidth near-data processing at line rate and fault tolerance through replication. The result is a highly efficient, distributed, intelligent data storage that can be used to both boost performance and reduce power consumption and real estate usage in the data center thanks to the micro-server architecture adopted.

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Information & Contributors

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Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 10, Issue 11

August 2017

432 pages

ISSN:2150-8097

Editors:
Peter Boncz
CWI
,
Ken Salem
University of Waterloo

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VLDB Endowment

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Published: 01 August 2017

Published in PVLDB Volume 10, Issue 11

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Cited By

Faghih FZiegler TIstván ZBinnig CBarcelo PSanchez-Pi NMeliou ASudarshan S(2024)SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive ApplicationsCompanion of the 2024 International Conference on Management of Data10.1145/3626246.3654690(556-560)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3626246.3654690
Wang RGao CWang JKadam PTamerÖzsu MAref W(2024)Optimizing LSM-based indexes for disaggregated memoryThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-024-00863-y33:6(1813-1836)Online publication date: 1-Nov-2024
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Maschi FAlonso G(2023)Strega: An HTTP Server for FPGAsACM Transactions on Reconfigurable Technology and Systems10.1145/361131217:1(1-27)Online publication date: 10-Oct-2023
https://dl.acm.org/doi/10.1145/3611312
Trivedi ABrunella MBaumann ACrooks NSchwarzkopf M(2023)CPU-free Computing: A Vision with a BlueprintProceedings of the 19th Workshop on Hot Topics in Operating Systems10.1145/3593856.3595906(1-14)Online publication date: 22-Jun-2023
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