• Stars
    star
    175
  • Rank 218,059 (Top 5 %)
  • Language
    C
  • Created over 6 years ago
  • Updated about 2 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A Linux kernel module that implements the Homa transport protocol.

This repo contains an implementation of the Homa transport protocol as a Linux kernel module.

  • For more information on Homa in general, see the Homa Wiki.

  • More information about this implementation and its performance are available in the paper A Linux Kernel Implementation of the Homa Transport Protocol, which appeared in the USENIX Annual Technical Conference in July, 2021.

  • A synopsis of the protocol implemented by this module is available in protocol.md.

  • As of August 2020, Homa has complete functionality for running real applications, and its tail latency is more than 10x better than TCP for all workloads I have measured (Homa's 99-th percentile latency is usually better than TCP's mean latency). Here is a list of the most significant functionality that is still missing:

    • The incast optimization from Section 3.6 of the SIGCOMM paper has not been implemented yet. If you would like to test Homa under large incasts, let me know and I will implement this feature.
    • Socket buffer memory management needs more work. Large numbers of large messages (hundreds of MB?) may cause buffer exhaustion and deadlock.
  • Please contact me if you have any problems using this repo; I'm happy to provide advice and support.

  • The head is known to work under Linux 6.1.38. In the past, Homa has run under several earlier versions of Linux, including 5.17.7, 5.4.80, and 4.15.18. There is a separate branch for each of these older versions, with a names such as linux_4.15.18. Older branches are out of date feature-wise: recent commits have not been back-ported to them. Other versions of Linux have not been tested and may require code changes (these upgrades rarely take more than a couple of hours). If you get Homa working on some other version, please submit a pull request with the required code changes.

  • There now exists support for using Homa with gRPC: see the GitHub repo.

  • To build the module, type make all; then type sudo insmod homa.ko to install it, and sudo rmmod homa to remove an installed module. In practice, though, you'll probably want to do several other things as part of installing Homa. I have created a Python script that I use for installing Homa on clusters managed by the CloudLab project; it's in cloudlab/bin/config. I normally invoke it with no parameters to install and configure Homa on the current machine.

  • The script cloudlab/bin/install will copy relevant Homa files across a cluster of machines and configure Homa on each node. It assumes that nodes have names nodeN where N is a small integer, and it also assumes that you have already run make both in the top-level directory and in util.

  • For best Homa performance, you should also make the following configuration changes:

    • Enable priority queues in your switches, selected by the 3 high-order bits of the DSCP field in IPv4 packet headers or the 4 high-order bits of the Traffic Class field in IPv6 headers. You can use sysctl to configure Homa's use of priorities (e.g., if you want it to use fewer than 8 levels). See the man page homa.7 for more info.
    • Enable jumbo frames on your switches and on the Linux nodes.
  • NIC support for TSO: Homa can use TCP Segmentation Offload (TSO) in order to send large messages more efficiently. To do this, it uses a header format that matches TCP's headers closely enough to take advantage of TSO support in NICs. It is not clear that this approach will work with all NICs, but the following NICs are known to work:

    • Mellanox ConnectX-4, ConnectX-5, and ConnectX-6

    There have been reports of problems with the following NICs (these have not yet been explored thoroughly enough to know whether the problems are insurmountable):

    • Intel E810 (ice), XXV710 (i40e), XL710

    Please let me know if you find other NICs that work (or NICs that don't work). If the NIC doesn't support TSO for Homa, then you can request that Homa perform segmentation in software by setting the gso_force_software parameter to a nonzero value using sysctl. Unfortunately, software segmentation is inefficient because it has to copy the packet data. Alternatively, you can ensure that the max_gso_size parameter is the same as the maximum packet size, which eliminates GSO in any form. This is also inefficient because it requires more packets to traverse the Linux networking stack.

  • A collection of man pages is available in the "man" subdirectory. The API for Homa is different from TCP sockets.

  • The subdirectory "test" contains unit tests, which you can run by typing "make" in that subdirectory.

  • The subdirectory "util" contains an assortment of utility programs that you may find useful in exercising and benchmarking Homa. Compile them by typing make in that subdirectory. Here are some examples of benchmarks you might find useful:

    • The cp_node program can be run stand-alone on clients and servers to run simple benchmarks. For a simple latency test, run cp_node server on node1 of the cluster, then run cp_node client on node 0. The client will send continuous back-to-back short requests to the server and output timing information. Or, run cp_node client --workload 500000 on the client: this will send continuous 500 KB messages for a simple througput test. Type cp_node --help to learn about other ways you can use this program.
    • The cp_vs_tcp script uses cp_node to run cluster-wide tests comparing Homa with TCP (and/or DCTCP); it was used to generate the data for Figures 3 and 4 in the Homa ATC paper. Here is an example command:
      cp_vs_tcp -n 10 -w w4 -b 20
      
      When invoked on node0, this will run a benchmark using the W4 workload from the ATC paper, running on 10 nodes and generating 20 Gbps of offered load (80% network load on a 25 Gbps network). Type cp_vs_tcp --help for information on all available options.
    • Other cp_ scripts can be used for different benchmarks. See util/README.md for more information.
  • Some additional tools you might find useful:

    • Homa collects various metrics about its behavior, such as the size distribution of incoming messages. You can access these through the file /proc/net/homa_metrics. The script util/metrics.py will collect metrics and print out all the numbers that have changed since its last run.
    • Homa exports a collection of configuration parameters through the sysctl mechanism. For details, see the man page homa.7.

Significant recent improvements

  • December 2022: Version 2.0. This includes a new mechanism for managing buffer space for incoming messages, which improves throughput by 50-100% in many situations. In addition, Homa now uses the sendmsg and recvmsg system calls, rather than ioctls, for sending and receiving messages. The API for receiving messages is incompatible with 1.01.
  • November 2022: Implemented software GSO for Homa.
  • September 2022: Added support for IPv6, as well as completion cookies. This required small but incompatible changes to the API. Many thanks to Dan Manjarres for contributing these improvements.
  • September 2022: Homa now works on Linux 5.18 as well as 5.17.7
  • June 2022: upgraded to Linux 5.17.7.
  • November 2021: changed semantics to at-most-once (servers can no longer see multiple instances of the same RPC).
  • August 2021: added new versions of the Homa system calls that support iovecs; in addition, incoming messages can be read incrementally across several homa_recv calls.
  • November 2020: upgraded to Linux 5.4.3.
  • June 2020: implemented busy-waiting during homa_recv: shaves 2 microseconds off latency.
  • June 2020: several fixes to prevent RPCs from getting "stuck", where they never make progress.
  • May 2020: got priorities working correctly using the DSCP field of IP headers.
  • December 2019: first versions of cperf ("cluster performance") benchmark.
  • December 2019 - June 2020: many improvements to the GRO mechanism, including better hashing and batching across RPCs; improves both throughput and latency.
  • Fall 2019: many improvements to pacer, spread over a couple of months.
  • November 6, 2019: reworked locking to use RPC-level locks instead of socket locks for most things (significantly reduces socket lock. contention). Many more refinements to this in subsequent commits.
  • September 25, 2019: reworked timeout mechanism to eliminate over-hasty timeouts. Also, limit the rate at which RESENDs will be sent to an overloaded machine.
  • August 1, 2019: GSO and GRO are now working.
  • March 13, 2019: added support for shutdown kernel call, plus poll, select, and epoll. Homa now connects will all of the essential Linux plumbing.
  • March 11, 2019: extended homa_recv API with new arguments: flags, id.
  • February 16, 2019: added manual entries in the subdirectory "man".
  • February 14, 2019: output queue throttling now seems to work (i.e., senders implement SRPT properly).
  • November 6, 2019: timers and packet retransmission now work.

More Repositories

1

NanoLog

Nanolog is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API.
C++
2,987
star
2

RAMCloud

**No Longer Maintained** Official RAMCloud repo
C++
487
star
3

Arachne

Core aware thread management system
C++
228
star
4

Homa

Low-Latency Data Center Network Transport
C++
191
star
5

PerfUtils

A collection of eclectic tools for measuring performance using the cycle counter and pinning threads.
C++
36
star
6

HomaSimulation

C++
34
star
7

grpc_homa

Allows Homa to be used as a transport with gRPC.
C++
25
star
8

ldbc-snb-impls

A collection of workload implementations for the LDBC SNB benchmark driver
Java
20
star
9

TorcDB

TorcDB: A Low-Latency Graph Database on RAMCloud
Java
17
star
10

mappy

Demo re-implementation of the Hadoop MapReduce scheduler in Python
Java
13
star
11

CoreArbiter

C++
11
star
12

memcached-A

The repo for both original memcached and memcached-A
C
8
star
13

CacheTools

Tools for measuring the speed of various CPU Caches
C++
8
star
14

Ramdis

A RAMCloud-based implementation of Redis
C
6
star
15

Log-Analyzer

Collection of scripts to statically analyze log statements in open-source software.
Python
5
star
16

arachne-all

Arachne thread management together with all dependencies and benchmarks.
Shell
5
star
17

memtier_skewsyn

Memcached skew and colocation workload benchmarking tool (modified from https://github.com/RedisLabs/memtier_benchmark).
C++
4
star
18

ramcloud-ycsb

Runs YCSB benchmarks using RAMCloud for storage
HTML
3
star
19

Roo

Multi-Hop Communication Framework
C++
3
star
20

homa-paper-artifact

Materials for the artifact evaluation of the SIGCOMM'18 Homa paper
R
3
star
21

koho

A robust multipath tunnel
C++
3
star
22

MPSCQueueBenchmarks

A framework for benchmarking multiple-consumer-single-producer queues
C++
2
star
23

consistentRedis

C
2
star
24

gtest

Mirror of gtest for use with RAMCloud
C++
2
star
25

ArachnePerfTests

Microbenchmarks for Arachne threading library.
C++
2
star
26

PlatformLab-Identity

Platform Lab logos, symbols, and design guidelines
2
star
27

x264

Mirror of the x264 repository by VLC.
C
1
star