Bertha: Tunneling through the Network API

Narayan, Akshay; Panda, Aurojit; Alizadeh, Mohammad; Balakrishnan, Hari; Shenker, Scott

doi:10.1145/3422604.3425927

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…The most complicated object Redis can serialize is a list. On the other hand, deploying and integrating custom hardware accelerators that do serialization [15,28] can be difficult in today's datacenters as it requires extra coordination between network administrators, offload developers and application developers [22].…”

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confidence: 99%

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Raghavan

Levis

Zaharia

et al. 2021

Proceedings of the Workshop on Hot Topics in Operating Systems

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Microsecond I/O will make data serialization a major bottleneck for datacenter applications. Serialization is fundamentally about data movement: serialization libraries coalesce and flatten in-memory data structures into a single transmittable buffer. CPU-based serialization approaches will hit a performance limit due to data movement overheads and be unable to keep up with modern networks.We observe that widely deployed NICs possess scattergather capabilities that can be re-purposed to accelerate serialization's core task of coalescing and flattening in-memory data structures. It is possible to build a completely zero-copy, zero-allocation serialization library with commodity NICs. Doing so introduces many research challenges, including using the hardware capabilities efficiently for a wide variety of non-uniform data structures, making application memory available for zero-copy I/O, and ensuring memory safety.

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confidence: 99%

Breakfast of champions

Raghavan

Levis

Zaharia

et al. 2021

Proceedings of the Workshop on Hot Topics in Operating Systems

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SciStream

Chung

Zacherek

Wisniewski

et al. 2022

Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing

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Programming socket-independent network functions with nethuns

Bonelli¹,

Vigna²,

Fais

et al. 2022

SIGCOMM Comput. Commun. Rev.

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Software data planes running on commodity servers are very popular in real deployments. However, to attain top class performance, the software approach requires the adoption of accelerated network I/O frameworks, each of them characterized by its own programming model and API. As a result, network applications are often closely tied to the underlying technology, with obvious issues of portability over different systems. This is especially true in cloud scenarios where different I/O frameworks could be installed depending on the configuration of the physical servers in the infrastructure. The nethuns library proposes a unified programming abstraction to access and manage network operations over different I/O frameworks. The library is freely available to the community under the BSD license and currently supports AF_XDP and netmap for fast packet handling along with the classic AF_PACKET and the pcap library. Network applications based on nethuns need only to be re-compiled to run over a different network API. The experiments prove that the overhead introduced by nethuns is negligible, hence making it a convenient programming platform that eases the coding process while guaranteeing high performance and portability. As proofs of concept, a handy traffic generator as well as the popular Open vSwitch application have been successfully ported and tested over nethuns.

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Bertha: Tunneling through the Network API

Cited by 3 publications

References 28 publications

Breakfast of champions

Breakfast of champions

SciStream

Programming socket-independent network functions with nethuns

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