Facebook’s tectonic filesystem: Efficiency from exascale

Satadru Pan; Theano Stavrinos; Yunqiao Zhang; Atul Sikaria; Pavel Zakharov; Abhinav Sharma; Shiva P. Shankar; Mike Shuey; Richard Wareing; Monika Gangapuram; Guanglei Cao; Christian Preseau; Pratap Singh; Kestutis Patiejunas; J. R. Tipton; Ethan Katz-Bassett; Wyatt Lloyd

Facebook’s tectonic filesystem: Efficiency from exascale

Satadru Pan, Theano Stavrinos, Yunqiao Zhang, Atul Sikaria, Pavel Zakharov, Abhinav Sharma, Shiva P. Shankar, Mike Shuey, Richard Wareing, Monika Gangapuram, Guanglei Cao, Christian Preseau, Pratap Singh, Kestutis Patiejunas, J. R. Tipton, Ethan Katz-Bassett, Wyatt Lloyd

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

45 Scopus citations

Abstract

Tectonic is Facebook’s exabyte-scale distributed filesystem. Tectonic consolidates large tenants that previously used service-specific systems into general multitenant filesystem instances that achieve performance comparable to the specialized systems. The exabyte-scale consolidated instances enable better resource utilization, simpler services, and less operational complexity than our previous approach. This paper describes Tectonic’s design, explaining how it achieves scalability, supports multitenancy, and allows tenants to specialize operations to optimize for diverse workloads. The paper also presents insights from designing, deploying, and operating Tectonic.

Original language	English (US)
Title of host publication	Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021
Publisher	USENIX Association
Pages	217-231
Number of pages	15
ISBN (Electronic)	9781939133205
State	Published - 2021
Event	19th USENIX Conference on File and Storage Technologies, FAST 2021 - Virtual, Online Duration: Feb 23 2021 → Feb 25 2021

Publication series

Name	Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021

Conference

Conference	19th USENIX Conference on File and Storage Technologies, FAST 2021
City	Virtual, Online
Period	2/23/21 → 2/25/21

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Software

Cite this

Pan, S., Stavrinos, T., Zhang, Y., Sikaria, A., Zakharov, P., Sharma, A., Shankar, S. P., Shuey, M., Wareing, R., Gangapuram, M., Cao, G., Preseau, C., Singh, P., Patiejunas, K., Tipton, J. R., Katz-Bassett, E., & Lloyd, W. (2021). Facebook’s tectonic filesystem: Efficiency from exascale. In Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021 (pp. 217-231). (Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021). USENIX Association.

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title = "Facebook{\textquoteright}s tectonic filesystem: Efficiency from exascale",

abstract = "Tectonic is Facebook{\textquoteright}s exabyte-scale distributed filesystem. Tectonic consolidates large tenants that previously used service-specific systems into general multitenant filesystem instances that achieve performance comparable to the specialized systems. The exabyte-scale consolidated instances enable better resource utilization, simpler services, and less operational complexity than our previous approach. This paper describes Tectonic{\textquoteright}s design, explaining how it achieves scalability, supports multitenancy, and allows tenants to specialize operations to optimize for diverse workloads. The paper also presents insights from designing, deploying, and operating Tectonic.",

author = "Satadru Pan and Theano Stavrinos and Yunqiao Zhang and Atul Sikaria and Pavel Zakharov and Abhinav Sharma and Shankar, {Shiva P.} and Mike Shuey and Richard Wareing and Monika Gangapuram and Guanglei Cao and Christian Preseau and Pratap Singh and Kestutis Patiejunas and Tipton, {J. R.} and Ethan Katz-Bassett and Wyatt Lloyd",

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year = "2021",

language = "English (US)",

series = "Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021",

publisher = "USENIX Association",

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booktitle = "Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021",

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Pan, S, Stavrinos, T, Zhang, Y, Sikaria, A, Zakharov, P, Sharma, A, Shankar, SP, Shuey, M, Wareing, R, Gangapuram, M, Cao, G, Preseau, C, Singh, P, Patiejunas, K, Tipton, JR, Katz-Bassett, E & Lloyd, W 2021, Facebook’s tectonic filesystem: Efficiency from exascale. in Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021. Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021, USENIX Association, pp. 217-231, 19th USENIX Conference on File and Storage Technologies, FAST 2021, Virtual, Online, 2/23/21.

Facebook’s tectonic filesystem: Efficiency from exascale. / Pan, Satadru; Stavrinos, Theano; Zhang, Yunqiao et al.
Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021. USENIX Association, 2021. p. 217-231 (Proceedings of the 19th USENIX Conference on File and Storage Technologies, FAST 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Pan, Satadru

AU - Stavrinos, Theano

AU - Zhang, Yunqiao

AU - Sikaria, Atul

AU - Zakharov, Pavel

AU - Sharma, Abhinav

AU - Shankar, Shiva P.

AU - Shuey, Mike

AU - Wareing, Richard

AU - Gangapuram, Monika

AU - Cao, Guanglei

AU - Preseau, Christian

AU - Singh, Pratap

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AU - Tipton, J. R.

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AB - Tectonic is Facebook’s exabyte-scale distributed filesystem. Tectonic consolidates large tenants that previously used service-specific systems into general multitenant filesystem instances that achieve performance comparable to the specialized systems. The exabyte-scale consolidated instances enable better resource utilization, simpler services, and less operational complexity than our previous approach. This paper describes Tectonic’s design, explaining how it achieves scalability, supports multitenancy, and allows tenants to specialize operations to optimize for diverse workloads. The paper also presents insights from designing, deploying, and operating Tectonic.

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ER -

Facebook’s tectonic filesystem: Efficiency from exascale

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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