Report of Mqtt Broker Benchmark Test (Template)

1. Brokers

Single Node:

RabbitMQ 3.3.5 release
Mosquito 1.4.10 release
New Mqtt

Cluster:

RabbitMQ 3.3.5 release [4,8] nodes
New Mqtt [4] nodes

2. Mqtt in LineWorks server NCS

2.1 Mqtt usage in NCS

There are two kinds of mqtt clients : publisher subscriber. In LineWorks server usage, the two kinds of mqtt clients are separated,api servers which are less than 20 amount are publishers, LineWorks clients which are about 10000 amount in NCS environment are subscribers.
Figure 1 represents mqtt usage in NCS environment.

Figure 1 : mqtt in ncs environment

2.2 Statistics publish counts on ncs

date qos1 total qos1 max tps qos0 total qos0 max tps
20170118 4807211 630 545497 42
20170116 4760298 685 508954 58
20170113 4761518 684 534527 52
Figure 2 : statistics in one day

3. Test scenario

3.1 Focus on LineWorks real environment usage

We design this test scenario based on statistics of mqtt usage on ncs env.The goal of the benchmark is to evaluate the impact of the number of subscribers on MQTT server, in terms of the delivered throughtput(message rate on the subscriber side), the CPU usage of the server, and the time required to transmit a message from a publisher to a subscriber, i.e. the message transmission latency.There should be no limitation caused by the clients (affecting each other) or by the network.

The scalability test starts with a minimum of 10.000 subscribers, and tries to reach a maximum of 100.000 subscribers. The publishers send messages at a steady rate which is proportional to the subscribers amounts.

The tests do not try to reach the maximum message throughput. The goal is to show how the server scales with the number of publishers, each publishing at a fixed rate.

Figure 3: test environment

3.2 Machines infomation

The machines used for the benchmark all create on nclould, they have the same configuration listed in the table hereafter.

OS Processor RAM
centos 7.2 Intel(R) Xeon(R) CPU E5-2670 v3 @ 2.30GHz * 4 8 GB

3.3 Test steps

A test is executed as a sequence of 3 steps:

  1. During the first step, every thread launches the publishers and the subscribers. Connections are opened.
  2. The second step starts after a time delay in order to allow the first step to be completed by every thread. Each thread publishes a message to the topic. In this way, as the total number of threads is known, each thread can handle a countdown and start publishing messages when the countdown reaches zero. Messages are asynchronously published, each message being sent by a different publisher. The message production lasts 5 minutes, which appeared to be long enough to reach a steady states.The second step ends when all the messages have been received by the subscribers. Therefore, the test also checks that there is no message lost by the server. The delivered throughput, CPU usage and message transmission latency are measured after a warmup period equal to 1 minute. The latency is measured for every published message. A timestamp is added to the payload of every message.The latency result shown by the graphics is the average of the latencies of all the messages published after the warmup period.
  3. The third step starts after a time delay allowing not to affect the measures done during the second step. During this step, subscribers unsubscribe and connections are closed.

4. test result

broker|subscriber counts(k)|publish rate(k)|payload size(byte)|qos|cpu|cpu total| latency(ms)|annotation
---------|--------------|-----|----------|--------|-------|-------|------------|----|----------
mosquito| 5 | 0.5 |10 | 1 | 100% | 100 | 180 | cpu max
rabbitmq| 5 | 0.5 |10 | 1 | 107% | 107 | 200 | connection max
rabbitmq| 5 | 0.5 |1000 | 1 | 109% | 109 | 200 | connection max
rabbitmq| 5 | 0.5 |10000 | 1 | 112% | 112 | 220 | connection max
new mqtt| 5 | 0.5 |10 | 1 | 48.8% | 48.8 | 40 |
new mqtt| 5 | 0.5 |1000 | 1 | 52.4% | 52.4 | 40 |
new mqtt| 5 | 0.5 |10000 | 1 | 57.1% | 57.1 | 50 |
new mqtt| 10 | 1 |10 | 1 | 90.3% | 90.3 | 45 |
new mqtt| 10 | 1 |1000 | 1 | 98.9% | 98.9 | 45 |
new mqtt| 10 | 1 |10000 | 1 | 106.6% | 106.6 | 50 |
rabbitmq| 10 | 1 |10 | 1 | 154% * 4 | 616 | 250 |
rabbitmq| 10 | 1 |1000 | 1 | 160% * 4 | 640 | 250 |
rabbitmq| 10 | 1 |10000 | 1 | 167% * 4 | 668 | 300 |
rabbitmq| 40 | 4 |10 | 1 | 130% *8 | 1040 | 1000 | delay max
new mqtt| 40 | 4 |10 | 1 | 137% * 4 | 548 | 40 |
new mqtt| 40 | 4 |1000 | 1 | 149% * 4 | 596 | 40 |
new mqtt| 40 | 4 |10000 | 1 | 160% * 4 | 640 | 50 |
new mqtt| 100 | 10 |10 | 1 | 198.0% * 4 | 792 | 50 |
new mqtt| 100 | 10 |1000 | 1 | 255.2% * 4 | 1020 | 50 |
new mqtt| 100 | 10 |10000 | 1 | 277% * 4 | 1108 | 60 |
mosquito| 5 | 0.5 |10 | 0 | 91% | 91 | 37 | cpu max
rabbitmq| 5 | 0.5 |10 | 0 | 78% | 78 | 57 | connection max
rabbitmq| 5 | 0.5 |1000 | 0 | 80% | 80 | 60 | connection max
rabbitmq| 5 | 0.5 |10000 | 0 | 85% | 85 | 60 | connection max
new mqtt| 5 | 0.5 |10 | 0 | 34.2% | 34.2 | 30 |
new mqtt| 5 | 0.5 |1000 | 0 | 38.7% | 38.7 | 30 |
new mqtt| 5 | 0.5 |10000 | 0 | 42.2% | 42.2 | 40 |
new mqtt| 10 | 1 |10 | 0 | 64.9% | 64.9 | 30 |
new mqtt| 10 | 1 |1000 | 0 | 71.6% | 71.6 | 30 |
new mqtt| 10 | 1 |10000 | 0 | 79.7% | 79.7 | 40 |
rabbitmq| 10 | 1 |10 | 0 | 66% * 4 | 264 | 60 |
rabbitmq| 10 | 1 |1000 | 0 | 75% * 4 | 300 | 60 |
rabbitmq| 10 | 1 |10000 | 0 | 84% * 4 | 336 | 60 |
rabbitmq| 40 | 4 |10 | 0 | 112% * 8 | 896 | 1000 | delay max
new mqtt| 40 | 4 |10 | 0 | 102% * 4 | 408 | 35 |
new mqtt| 40 | 4 |1000 | 0 | 111% * 4 | 444 | 40 |
new mqtt| 40 | 4 |10000 | 0 | 118% * 4 | 472 | 50 |
new mqtt| 100 | 10 |10 | 0 | 166% * 4 | 664 | 50 |
new mqtt| 100 | 10 |1000 | 0 | 211.8% * 4 | 847 | 50 |
new mqtt| 100 | 10 |10000 | 0 | 248.7% *4 | 995 | 55 |

4.1 qos1 (acknowledgement, not retained)

qos1_cpu.PNG
qos1_delayPNG.PNG

4.2 qos0 (no acknowledgement, retained)

qos0_cpu.PNG
qos0_delay.PNG

4.3 discuss

  1. mosquito
  • mosquito only have a single node and only use one cpu, when subscriber users are 5k, cpu reach almost 100%
  1. rabbitmq
  • when 40k user subscribe on 4 nodes, delay is increasing.
  • for 1 node, rabbitmq can establish not more than 6821 subscriber users
[irteam@dev-chenzhaoyu1.ncl ~]$ mosquitto_pub -h 10.113.236.145 -p 1884  -t 123 -q 0 -m hahaha
Error: Connection refused

[irteam@test-mqtt-cluster003.ncl ~]$ netstat -ant | grep 1884 | grep EST | wc -l
6849

 {file_descriptors,[{total_limit,81820},
                    {total_used,6821},
                    {sockets_limit,73636},
                    {sockets_used,6819}]},

3.new mqtt

  • new mqtt use less resources
  • 4 nodes can hold 100k subscribes(tps 10k)
最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請聯(lián)系作者
  • 序言:七十年代末优炬,一起剝皮案震驚了整個濱河市,隨后出現(xiàn)的幾起案子,更是在濱河造成了極大的恐慌,老刑警劉巖亮靴,帶你破解...
    沈念sama閱讀 219,490評論 6 508
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件,死亡現(xiàn)場離奇詭異,居然都是意外死亡护糖,警方通過查閱死者的電腦和手機,發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 93,581評論 3 395
  • 文/潘曉璐 我一進店門嚼松,熙熙樓的掌柜王于貴愁眉苦臉地迎上來嫡良,“玉大人,你說我怎么就攤上這事献酗∏奘埽” “怎么了?”我有些...
    開封第一講書人閱讀 165,830評論 0 356
  • 文/不壞的土叔 我叫張陵罕偎,是天一觀的道長很澄。 經(jīng)常有香客問我,道長颜及,這世上最難降的妖魔是什么甩苛? 我笑而不...
    開封第一講書人閱讀 58,957評論 1 295
  • 正文 為了忘掉前任,我火速辦了婚禮俏站,結(jié)果婚禮上浪藻,老公的妹妹穿的比我還像新娘。我一直安慰自己乾翔,他們只是感情好爱葵,可當(dāng)我...
    茶點故事閱讀 67,974評論 6 393
  • 文/花漫 我一把揭開白布。 她就那樣靜靜地躺著反浓,像睡著了一般萌丈。 火紅的嫁衣襯著肌膚如雪。 梳的紋絲不亂的頭發(fā)上雷则,一...
    開封第一講書人閱讀 51,754評論 1 307
  • 那天辆雾,我揣著相機與錄音,去河邊找鬼月劈。 笑死度迂,一個胖子當(dāng)著我的面吹牛,可吹牛的內(nèi)容都是我干的猜揪。 我是一名探鬼主播惭墓,決...
    沈念sama閱讀 40,464評論 3 420
  • 文/蒼蘭香墨 我猛地睜開眼,長吁一口氣:“原來是場噩夢啊……” “哼而姐!你這毒婦竟也來了腊凶?” 一聲冷哼從身側(cè)響起,我...
    開封第一講書人閱讀 39,357評論 0 276
  • 序言:老撾萬榮一對情侶失蹤,失蹤者是張志新(化名)和其女友劉穎钧萍,沒想到半個月后褐缠,有當(dāng)?shù)厝嗽跇淞掷锇l(fā)現(xiàn)了一具尸體,經(jīng)...
    沈念sama閱讀 45,847評論 1 317
  • 正文 獨居荒郊野嶺守林人離奇死亡风瘦,尸身上長有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點故事閱讀 37,995評論 3 338
  • 正文 我和宋清朗相戀三年队魏,在試婚紗的時候發(fā)現(xiàn)自己被綠了。 大學(xué)時的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片万搔。...
    茶點故事閱讀 40,137評論 1 351
  • 序言:一個原本活蹦亂跳的男人離奇死亡胡桨,死狀恐怖,靈堂內(nèi)的尸體忽然破棺而出蟹略,到底是詐尸還是另有隱情登失,我是刑警寧澤,帶...
    沈念sama閱讀 35,819評論 5 346
  • 正文 年R本政府宣布挖炬,位于F島的核電站揽浙,受9級特大地震影響,放射性物質(zhì)發(fā)生泄漏意敛。R本人自食惡果不足惜馅巷,卻給世界環(huán)境...
    茶點故事閱讀 41,482評論 3 331
  • 文/蒙蒙 一、第九天 我趴在偏房一處隱蔽的房頂上張望草姻。 院中可真熱鬧钓猬,春花似錦、人聲如沸撩独。這莊子的主人今日做“春日...
    開封第一講書人閱讀 32,023評論 0 22
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽综膀。三九已至澳迫,卻和暖如春,著一層夾襖步出監(jiān)牢的瞬間剧劝,已是汗流浹背橄登。 一陣腳步聲響...
    開封第一講書人閱讀 33,149評論 1 272
  • 我被黑心中介騙來泰國打工, 沒想到剛下飛機就差點兒被人妖公主榨干…… 1. 我叫王不留讥此,地道東北人拢锹。 一個月前我還...
    沈念sama閱讀 48,409評論 3 373
  • 正文 我出身青樓,卻偏偏與公主長得像萄喳,于是被迫代替她去往敵國和親卒稳。 傳聞我的和親對象是個殘疾皇子,可洞房花燭夜當(dāng)晚...
    茶點故事閱讀 45,086評論 2 355

推薦閱讀更多精彩內(nèi)容