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Our presentation for the report "Performance Evaluation of XMPP on the Web". 2012. by Markku Laine, http://www.tinyurl.com/mplaine, and Kalle Säilä
Performance Evaluation of XMPP on the Web
Performance Evaluation of XMPP on the Web
Markku Laine
The Chubby lock service for loosely- coupled distributed systems
The Chubby lock service for loosely- coupled distributed systems
Ioanna Tsalouchidou
Microcaching, Scalabe stack
Nginx Scalable Stack
Nginx Scalable Stack
Bruno Paiuca
Mike Taulty DevDays 2010 Silverlight 4 Networking
Mike Taulty DevDays 2010 Silverlight 4 Networking
ukdpe
MaxCDN Meetup Los Angeles, June, 2016
Content Caching with NGINX and NGINX Plus
Content Caching with NGINX and NGINX Plus
Kevin Jones
02 vng thanhnt-speedup_ntvv2_by_ph_pextmodule_
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Nguyen Duc Phu
Review web performance optimization - MercadoLibre
Web performance optimization - MercadoLibre
Web performance optimization - MercadoLibre
Pablo Moretti
We start by looking at distributed database features that impact latency. Then we take a deeper look at the HBase read and write paths with a focus on request latency. We examine the sources of latency and how to minimize them.
HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014
Nick Dimiduk
Recomendados
Our presentation for the report "Performance Evaluation of XMPP on the Web". 2012. by Markku Laine, http://www.tinyurl.com/mplaine, and Kalle Säilä
Performance Evaluation of XMPP on the Web
Performance Evaluation of XMPP on the Web
Markku Laine
The Chubby lock service for loosely- coupled distributed systems
The Chubby lock service for loosely- coupled distributed systems
Ioanna Tsalouchidou
Microcaching, Scalabe stack
Nginx Scalable Stack
Nginx Scalable Stack
Bruno Paiuca
Mike Taulty DevDays 2010 Silverlight 4 Networking
Mike Taulty DevDays 2010 Silverlight 4 Networking
ukdpe
MaxCDN Meetup Los Angeles, June, 2016
Content Caching with NGINX and NGINX Plus
Content Caching with NGINX and NGINX Plus
Kevin Jones
02 vng thanhnt-speedup_ntvv2_by_ph_pextmodule_
02 vng thanhnt-speedup_ntvv2_by_ph_pextmodule_
Nguyen Duc Phu
Review web performance optimization - MercadoLibre
Web performance optimization - MercadoLibre
Web performance optimization - MercadoLibre
Pablo Moretti
We start by looking at distributed database features that impact latency. Then we take a deeper look at the HBase read and write paths with a focus on request latency. We examine the sources of latency and how to minimize them.
HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014
Nick Dimiduk
Presentation on Bittorrent
Bittorrent
Bittorrent
Suman Karumuri
My talk on choosing an HTTP proxy cache at Usenix LISA 2012.
Usenix LISA 2012 - Choosing a Proxy
Usenix LISA 2012 - Choosing a Proxy
Leif Hedstrom
Cassandra, TTL, used Memcache.
Cassandra as Memcache
Cassandra as Memcache
Edward Capriolo
Scaling PostgreSQL with Skytools
Scaling PostgreSQL with Skytools
Gavin Roy
First given at LARubyConf 2009
Fast & Scalable Front/Back-ends using Ruby, Rails & XMPP
Fast & Scalable Front/Back-ends using Ruby, Rails & XMPP
Pradeep Elankumaran
Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.
Introduction to memcached
Introduction to memcached
Jurriaan Persyn
A deeper look at the HBase read and write paths with a focus on request latency. We look at sources of latency and how to minimize them.
Apache HBase Low Latency
Apache HBase Low Latency
Nick Dimiduk
mysql memcached study slide show
Memcached Study
Memcached Study
nam kwangjin
Web Performance Optimization with HTTP/3. This is the English version of my previous slide in Korean.
Web Performance Optimization with HTTP/3
Web Performance Optimization with HTTP/3
SangJin Kang
Fluentd and WebHDFS
Fluentd and WebHDFS
SATOSHI TAGOMORI
Techtalk I gave on Moscow Big Systems / Big Data meetup in October 2012.
Modern Distributed Messaging and RPC
Modern Distributed Messaging and RPC
Max Alexejev
a short presentation a colleague and me threw together for a lecture
Alternative Infrastucture
Alternative Infrastucture
Marc Seeger
Talk from the June meeting of the Twin Cities .NET User Group
Building Lightning Fast Websites (for Twin Cities .NET User Group)
Building Lightning Fast Websites (for Twin Cities .NET User Group)
strommen
How to speed up your web site/app and make users happier
Web performance optimization
Web performance optimization
Massimo Iacolare
В докладе рассказывается о расширении для стека протоколов TCP/IP в ОС Linux, которое необходимо для того, чтобы HTTPS работал в том же стеке, что TCP и IP. DDoS-атаки такого типа как HTTP-флуд на уровне приложений, как правило, подавляются HTTP-акселераторами или балансировщиками нагрузки HTTP. Однако интерфейс сокетов Linux, используемый программным обеспечением, не дает той продуктивности, которая необходима при предельных нагрузках, вызванных DDoS-атаками. HTTP-серверы на базе стеков TCP/IP в пространстве пользователя становятся популярными в связи с увеличением их эффективности, но стеки TCP/IP представляют собой масштабный и сложный код, поэтому неблагоразумно реализовывать и исполнять его дважды — в пространстве пользователя и пространстве ядра. Стек TCP/IP в пространстве ядра хорошо интегрирован со многими мощными инструментами, например IPTables, IPVS, tc, tcpdump, которые недоступны для стека TCP/IP в пространстве пользователя или требуют сложных интерфейсов. Докладчик представит решение Tempesta FW, которое передает обработку HTTPS ядру. HTTPS встроен в стек TCP/IP Linux. Исполняя функцию межсетевого экрана HTTP, Tempesta FW устанавливает набор ограничений по скорости передачи и набор эвристических правил для защиты от таких атак как HTTPS-флуд и Slow HTTP.
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Positive Hack Days
These are the slides to my webinar on https://www.nginx.com
High Availability Content Caching with NGINX
High Availability Content Caching with NGINX
Kevin Jones
I brief description about how to use and why to use NginX, including good practices, tips, and advanced techniques.
NginX - good practices, tips and advanced techniques
NginX - good practices, tips and advanced techniques
Claudio Borges
Save 10% off ANY FITC event with discount code 'slideshare' See our upcoming events at www.fitc.ca OVERVIEW The presentation will present an overview of the MongoDB NoSQL database, its history and current status as the leading NoSQL database. It will focus on how NoSQL, and in particular MongoDB, benefits developers building big data or web scale applications. Discuss the community around MongoDB and compare it to commercial alternatives. An introduction to installing, configuring and maintaining standalone instances and replica sets will be provided. Presented live at FITC's Spotlight:MEAN Stack on March 28th, 2014. More info at FITC.ca
MongoDB: Advantages of an Open Source NoSQL Database
MongoDB: Advantages of an Open Source NoSQL Database
FITC
How and what to cache
Caching in HTTP
Caching in HTTP
Alexander Shopov
How to improve the network of Docker? How to integrate with OpenVSwitch? How to apply more fine-grained QoS limitation and monitor the resource usage of containers? How to improve Docker in non-intrusive ways? This slides shared by Li Yulai, the Chief Architect of SpeedyCloud, is to answer questions above. Visit http://www.speedycloud.cn to find out more.
Resource Management of Docker
Resource Management of Docker
SpeedyCloud
Zapatka Resume
Zapatka Resume
Kasey Zapatka
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작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
kuuyr loot
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В докладе рассказывается о расширении для стека протоколов TCP/IP в ОС Linux, которое необходимо для того, чтобы HTTPS работал в том же стеке, что TCP и IP. DDoS-атаки такого типа как HTTP-флуд на уровне приложений, как правило, подавляются HTTP-акселераторами или балансировщиками нагрузки HTTP. Однако интерфейс сокетов Linux, используемый программным обеспечением, не дает той продуктивности, которая необходима при предельных нагрузках, вызванных DDoS-атаками. HTTP-серверы на базе стеков TCP/IP в пространстве пользователя становятся популярными в связи с увеличением их эффективности, но стеки TCP/IP представляют собой масштабный и сложный код, поэтому неблагоразумно реализовывать и исполнять его дважды — в пространстве пользователя и пространстве ядра. Стек TCP/IP в пространстве ядра хорошо интегрирован со многими мощными инструментами, например IPTables, IPVS, tc, tcpdump, которые недоступны для стека TCP/IP в пространстве пользователя или требуют сложных интерфейсов. Докладчик представит решение Tempesta FW, которое передает обработку HTTPS ядру. HTTPS встроен в стек TCP/IP Linux. Исполняя функцию межсетевого экрана HTTP, Tempesta FW устанавливает набор ограничений по скорости передачи и набор эвристических правил для защиты от таких атак как HTTPS-флуд и Slow HTTP.
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☆<<텔레그램:ddf11>>☆ ◆카톡:DDF11◆ ◆사이트:EVO.OW.TO◆ 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, ☆<<텔레그램:ddf11>>☆ ◆카톡:DDF11◆ ◆사이트:EVO.OW.TO◆ 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 판매,흥분제 구해요,흥분제 팔아요,흥분제 판매처,흥분제 추천,흥분제 부작용,흥분제 제조법,흥분제 약효, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법, 흥분제 정품구입처,흥분제 정품구입방법,흥분제 정품구합니다,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,흥분제 50mg구입방법,
작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
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작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
작업용 최음제 "EVO.OW.TO" 카톡:DDF11 작업용최음제 구입,흥분제 정품판매처,흥분제 성폭행,흥분제 인터넷구입,흥분제 인터넷판매,...
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크롬의고성능네트워킹
1.
High Performance Networking in
Chrome The
2.
Performance
3.
for
4.
Open
5.
Source
6.
Applications 아꿈사:박주희
7.
Part1. BackGround Knowledge of Chrome
8.
History of Google
Chrome •2008년
9.
출시된
10.
세계에서
11.
가장
12.
많이
13.
쓰이는
14.
오픈소스
15.
브라우저
16.
Guiding principles of
Google Chrome •Speed:
17.
the
18.
objective
19.
is
20.
to
21.
make
22.
the
23.
fastest
24.
browser
25.
•Security:
26.
provide
27.
the
28.
most
29.
secure
30.
environment
31.
to
32.
the
33.
user
34.
•Stability:
35.
provide
36.
a
37.
resilient
38.
and
39.
stable
40.
web
41.
application
42.
platform
43.
•Simplicity:
44.
sophisticated
45.
technology,
46.
wrapped
47.
in
48.
a
49.
simple
50.
user
51.
experience
52.
A modern browser’s architecture •크롬
53.
이전의
54.
주요
55.
브라우저의
56.
형태 -
57.
획일적인
58.
싱글
59.
프로세스
60.
애플리케이션. -
61.
모든
62.
페이지가
63.
같은
64.
주소
65.
공간을
66.
공유,
67.
동일한
68.
자원을
69.
두고
70.
경합
71.
-
72.
한
73.
페이지나
74.
브라우저에
75.
오류가
76.
생기면
77.
전체
78.
사용자경험이
79.
망가짐.
80.
•크롬
81.
이후의
82.
주요
83.
브라우저의
84.
형태 -
85.
다중
86.
프로세스
87.
모형 -
88.
탭
89.
별
90.
격리된
91.
프로세스와
92.
메모리 -
93.
견고한
94.
SandBox
95.
제공
96.
The many facets
of performance •the
97.
execution
98.
of
99.
a
100.
web
101.
program
102.
primarily
103.
involves
104.
three
105.
tasks:
106.
-
107.
fetching
108.
resources -
109.
page
110.
layout
111.
and
112.
rendering -
113.
JavaScript
114.
execution
115.
! •개별
116.
요소
117.
및
118.
요소간
119.
관계에
120.
대한
121.
개선이
122.
성능
123.
최적화의
124.
포인트.
125.
What is a
modern web application? •2013년
126.
1월
127.
이후
128.
웹의
129.
상위
130.
목적지
131.
30만개에서
132.
추출한
133.
페이지
134.
하나의
135.
평균수치 -
136.
크기
137.
1700kb
138.
이상 -
139.
구성
140.
자원
141.
수
142.
95개
143.
이상 -
144.
연결하는
145.
서로
146.
다른
147.
호스트
148.
수
149.
15개
150.
이상 -
151.
평균
152.
자원
153.
크기
154.
17KB
155.
이상
156.
:
157.
Most
158.
network
159.
transfers
160.
in
161.
the
162.
browser
163.
are
164.
short
165.
and
166.
bursty.
167.
168.
169.
170.
171.
172.
173.
174.
175.
176.
177.
178.
179.
180.
181.
182.
183.
184.
185.
186.
187.
188.
189.
190.
191.
192.
193.
194.
195.
196.
197.
198.
199.
200.
201.
202.
203.
204.
205.
206.
207.
208.
209.
210.
211.
212.
213.
214.
215.
216.
217.
218.
219.
220.
221.
222.
223.
224.
225.
226.
227.
228.
229.
230.
231.
232.
233.
234.
235.
236.
237.
참조
238.
:
239.
HTTP
240.
Archive
241.
Project
242.
:
243.
http://httparchive.org
244.
The life of
a resource request on the wire
245.
Have you been
counting all the delays? •전형적인
246.
광대역
247.
연결에
248.
대한
249.
최악의
250.
시나리오를
251.
가정해보자. 1.
252.
50ms
253.
for
254.
DNS 2.
255.
80ms
256.
for
257.
TCP
258.
handshake
259.
(one
260.
RTT) 3.
261.
160ms
262.
for
263.
SSL
264.
handshake
265.
(two
266.
RTT's) 4.
267.
40ms
268.
for
269.
request
270.
to
271.
server 5.
272.
100ms
273.
for
274.
server
275.
processing 6.
276.
40ms
277.
for
278.
response
279.
from
280.
the
281.
server
282.
•총
283.
470ms
284.
(전체
285.
지연시간
286.
중
287.
네트워크
288.
잠복지연
289.
80%)
290.
What is fast
enough? •잠복
291.
지연에
292.
대한
293.
일반적인
294.
사용자의
295.
인식
296.
:
297.
298.
299.
최소
300.
250ms
301.
이내에
302.
웹
303.
페이지를
304.
렌더링하거나
305.
최소한의
306.
피드백을
307.
주어야
308.
사용자가
309.
떠나지
310.
않음.
311.
312.
313.
314.
315.
316.
317.
318.
319.
320.
321.
322.
323.
324.
325.
326.
327.
328.
329.
330.
331.
332.
333.
334.
335.
336.
337.
338.
339.
340.
341.
342.
343.
344.
345.
346.
347.
348.
349.
350.
351.
352.
353.
354.
355.
356.
357.
358.
359.
360.
361.
362.
363.
364.
365.
366.
참조:
367.
http://www.nngroup.com/articles/response-times-3-important-limits/
368.
369.
•사이트가
370.
빠를수
371.
록
372.
페이지뷰,
373.
사용자
374.
참여도,
375.
전환율이
376.
높아짐
377.
Part2. Architecture of Chrome (chrome’s
378.
network
379.
stack
380.
from
381.
10000
382.
feet.)
383.
Multi-process architecture •supports
384.
four
385.
different
386.
execution
387.
models. 1.
388.
Process-per-site-instance
389.
:
390.
기본 2.
391.
Process-per-site
392.
: 3.
393.
Process-per-tab
394.
: 4.
395.
Single
396.
process
397.
:
398.
Inter-process communication (IPC) and
Multi-process resource loading •렌더러와
399.
커널
400.
프로세스간
401.
통신은
402.
IPC를
403.
통해
404.
이루어짐.
405.
consistent resource sharing •ResourceDispatcherHost
406.
프로세스를
407.
통한
408.
몇가지
409.
이점 1.
410.
Socket
411.
pool
412.
and
413.
connection
414.
limits
415.
:
416.
소켓(256),
417.
프록시(32),
418.
그룹(6) 2.
419.
Socket
420.
reuse
421.
:
422.
요청
423.
처리후
424.
일정시간
425.
소켓풀
426.
안에
427.
tcp연결
428.
저장. 3.
429.
Socket
430.
late-binding
431.
:
432.
요청들에
433.
대한
434.
우선순위
435.
조절
436.
가능,
437.
처리량
438.
증가,
439.
최적화가능. 4.
440.
Consistent
441.
session
442.
state
443.
:
444.
인증,
445.
쿠키,
446.
캐싱된
447.
자료를
448.
모든
449.
렌더
450.
프로세스가
451.
공유가능 5.
452.
Global
453.
resource
454.
and
455.
network
456.
optimizations:
457.
전역적인
458.
자원
459.
사용을
460.
제어. 6.
461.
Predictive
462.
optimizations:
463.
모든
464.
네트워크
465.
트래픽을
466.
모니터링하여
467.
예측모델을
468.
생성.
469.
Cross-platform resource fetching •크롬
470.
네트워크
471.
스택은
472.
단일
473.
스레드방식의
474.
크로스
475.
플랫폼
476.
라이브러리로
477.
구성됨. -
478.
모든
479.
플랫폼에서
480.
동일한
481.
기반구조를
482.
재사용
483.
가능. -
484.
동일한
485.
성능
486.
최적화
487.
적용
488.
가능. -
489.
특정
490.
플랫폼에
491.
고유한
492.
최적화
493.
기회의
494.
증대.
495.
496.
자원상황에
497.
따라
498.
몇몇
499.
파라미터를
500.
통해
501.
최적화함.
502.
503.
504.
ex)
505.
506.
Cash
507.
size,
508.
Socket
509.
Timeout,
510.
예측
511.
최적화의
512.
우선순위
513.
값.
514.
Architecture and performance on
mobile platforms •Android
515.
Multi
516.
Process
517.
Model
518.
사용. 가용
519.
메모리와
520.
기기의
521.
제약조건에
522.
따라
523.
적절한
524.
렌더러수
525.
결정. iOS 플랫폼의
526.
sandBox
527.
정책으로
528.
인하여
529.
Single
530.
Process
531.
Multi
532.
Thread
533.
모델
534.
사용
535.
Speculative optimization with Chrome's
Predictor • Predictor
536.
:
537.
네트워크
538.
패턴을
539.
관찰하고
540.
사용자가
541.
취할
542.
가능성이
543.
큰
544.
동작을
545.
배우고
546.
예측 하는
547.
역할을
548.
수행.
549.
• ex) 1.
550.
사용자가
551.
링크에
552.
마우스를
553.
올리면
554.
미리
555.
DNS
556.
lookup
557.
및
558.
TCP
559.
연결을
560.
수행. 2.
561.
주소창에
562.
타이핑을
563.
하면
564.
가능성있는
565.
목적지를
566.
제시하고,
567.
이러한
568.
URL들에
569.
대해
570.
571.
572.
573.
574.
DNS
575.
lookup,
576.
TCP연결,
577.
숨겨진
578.
탭에서
579.
Prerendering까지
580.
수행. 3.
581.
자주
582.
방문하는
583.
선호
584.
사이트들에
585.
대해
586.
해당
587.
사이트에서
588.
사용하는
589.
리소스들을
590.
미리
591.
592.
593.
594.
가져온다.
595.
Chrome leverages four
core optimization techniques • DNS
596.
pre-resolve
597.
:
598.
DNS
599.
잠복
600.
지연을
601.
피하기
602.
위해
603.
호스트명에
604.
대한
605.
IP를
606.
미리
607.
조회.
608.
• TCP
609.
pre-connect
610.
:
611.
TcP
612.
connection을
613.
미리
614.
수행하여
615.
TCP
616.
Handshake
617.
레 이턴시
618.
제거.
619.
• Resource
620.
Prefetching
621.
:
622.
페이지
623.
렌더링
624.
속도를
625.
높이기
626.
위해
627.
페이지
628.
내
629.
핵심
630.
자원들을
631.
미리
632.
가져옴.
633.
• Page
634.
Prerendering
635.
:
636.
페이지와
637.
그
638.
자원들을
639.
미리
640.
가져와
641.
렌더링
642.
하여
643.
사용자
644.
요청시
645.
즉시
646.
페이지를
647.
보여줌.
648.
Risk of Predictor •
이러한
649.
최적화
650.
기법은
651.
모두
652.
모험적이므로
653.
예측이
654.
틀린
655.
경우
656.
필요없는
657.
자원을
658.
낭비하고
659.
실제
660.
내비게이션
661.
성능에
662.
악영향을
663.
줄수
664.
있음.
665.
• 해결방안
666.
:
667.
가능한
668.
한
669.
많은
670.
정보를
671.
토대로
672.
예측을
673.
수행함.
674.
(사용자가
675.
유발한
676.
동작,
677.
사용자
678.
방문
679.
히스토리,
680.
렌더러와
681.
네트워크
682.
스택에 서
683.
발생된
684.
정보등)
685.
686.
ResolutionMotivation • 렌더
687.
프로세스가
688.
브라우저
689.
프로세스에게
690.
보내는
691.
메시지
692.
안에
693.
포함시킬수
694.
있는
695.
다양한
696.
힌트들의
697.
일부.
698.
Role of Predictor •Predictor의
699.
목표는
700.
예측이
701.
성공할
702.
가능성을
703.
평가하는
704.
것.
705.
•모든
706.
힌트에는
707.
성공률과
708.
우선순위,
709.
만료기간이
710.
부여될수
711.
있으며
712.
이를
713.
통해
714.
내부
715.
우선순위
716.
대기열을
717.
최적화
718.
할
719.
때
720.
이를
721.
사용함.
722.
•내부
723.
우선순위
724.
대기열으로부터
725.
비롯된
726.
요청들의
727.
성공률을
728.
추적함. 이러한
729.
수치를
730.
토대로
731.
향후
732.
결정에
733.
대한
734.
최적화함.
735.
Chrome network architecture in
a nutshell •Chrome
736.
uses
737.
a
738.
multi-process
739.
architecture,
740.
which
741.
isolates
742.
render
743.
processes
744.
from
745.
the
746.
browser
747.
process
748.
•Chrome
749.
maintains
750.
a
751.
single
752.
instance
753.
of
754.
the
755.
resource
756.
dispatcher,
757.
which
758.
is
759.
shared
760.
across
761.
all
762.
render
763.
processes,
764.
and
765.
runs
766.
within
767.
the
768.
browser
769.
kernel
770.
process
771.
•The
772.
network
773.
stack
774.
is
775.
a
776.
cross-platform,
777.
(mostly)
778.
single-threaded
779.
library
780.
•The
781.
network
782.
stack
783.
uses
784.
non-blocking
785.
operations
786.
to
787.
manage
788.
all
789.
network
790.
operations
791.
•Shared
792.
network
793.
stack
794.
allows
795.
efficient
796.
resource
797.
prioritization,
798.
reuse,
799.
and
800.
provides
801.
the
802.
browser
803.
with
804.
ability
805.
to
806.
perform
807.
global
808.
optimization
809.
across
810.
all
811.
running
812.
processes
813.
•Each
814.
render
815.
process
816.
communicates
817.
with
818.
the
819.
resource
820.
dispatcher
821.
via
822.
IPC
823.
•Resource
824.
dispatcher
825.
intercepts
826.
resource
827.
requests
828.
via
829.
a
830.
custom
831.
IPC
832.
filter
833.
•Predictor
834.
intercepts
835.
resources
836.
request
837.
and
838.
response
839.
traffic
840.
to
841.
learn
842.
and
843.
optimize
844.
future
845.
network
846.
requests
847.
•Predictor
848.
may
849.
speculatively
850.
schedule
851.
DNS,
852.
TCP,
853.
and
854.
even
855.
resource
856.
requests
857.
based
858.
on
859.
learned
860.
traffic
861.
patterns,
862.
saving
863.
hundreds
864.
of
865.
milliseconds
866.
when
867.
the
868.
navigation
869.
is
870.
triggered
871.
by
872.
the
873.
user
874.
Part3. Lifetime of Your Browser
Session…
875.
Cold-boot Experience • 일반적으로
876.
사용자들은
877.
브라우저를
878.
cold-boot한
879.
후
880.
매번
881.
동일한
882.
루틴들을
883.
따름. ex)
884.
email
885.
확인
886.
후
887.
즐겨
888.
찾는
889.
뉴스
890.
사이트
891.
보기,
892.
포털
893.
사이트
894.
바로
895.
들어가기
896.
등
897.
• 사용자가
898.
브라우저
899.
시작후
900.
방문하는
901.
패턴을
902.
미리
903.
분석해
904.
놓으면
905.
이에
906.
따라
907.
사 용자
908.
체험을
909.
최적화할
910.
여지가
911.
있음.
912.
• cold-boot후
913.
가장
914.
많이
915.
접근하는
916.
최상위
917.
10개
918.
호스트를
919.
기억한
920.
후 브라우저가
921.
시작하면
922.
이
923.
목록의
924.
호스트들을
925.
미리
926.
DNS
927.
조회함.
928.
chrome://dns
929.
Optimizing interactions with the
Omnibox •
930.
옴니박스
931.
:
932.
933.
! •
934.
주소창에
935.
타이핑을
936.
수행하면
937.
방문한
938.
url들과
939.
검색어들을
940.
자동
941.
노출
942.
• 사용자가
943.
무엇인가를
944.
입력하면
945.
적절한
946.
동작을
947.
과거의
948.
이력을
949.
토대로
950.
제안함.
951.
• 내부적으로
952.
이러한
953.
제안한
954.
동작들에
955.
대해
956.
스코어링을
957.
함.
958.
• 이러한
959.
점수들을
960.
토대로
961.
네트워크
962.
프리패칭을
963.
수행하여
964.
사용자
965.
체험을
966.
최적화 함.
967.
chrome://predictors •ResourceDisfetcher가
968.
동작시
969.
사용하는
970.
중요
971.
정보 유망
972.
후보
973.
(노란색):
974.
Dns
975.
prefectch
976.
수행. 유력
977.
후보
978.
(녹색):
979.
DNS
980.
Prefectch,
981.
TCP-Preconnect
982.
수행.
983.
984.
985.
986.
987.
988.
989.
990.
991.
992.
993.
994.
995.
996.
997.
998.
999.
1000.
만약
1001.
사용자
1002.
입력이
1003.
끝나기
1004.
전에
1005.
모두
1006.
수행이
1007.
완료되면
1008.
렌더링
1009.
수행.
1010.
Optimizing cache performance •크롬에서
1011.
사용하는
1012.
Cache
1013.
방식. 1.
1014.
In
1015.
Memory
1016.
Type
1017.
:
1018.
‘browse
1019.
in
1020.
private’
1021.
모드에서
1022.
사용.
1023.
1024.
1025.
1026.
1027.
1028.
1029.
1030.
1031.
1032.
1033.
1034.
1035.
1036.
1037.
1038.
1039.
1040.
1041.
1042.
1043.
1044.
1045.
1046.
1047.
1048.
1049.
창을
1050.
닫으면
1051.
캐시가
1052.
삭제처리
1053.
됨. 2.
1054.
Disk
1055.
File
1056.
Type
1057.
:
1058.
LRU
1059.
(Least
1060.
Recently
1061.
Used)
1062.
방식으로
1063.
관리됨. •캐시
1064.
사용을
1065.
위해서는
1066.
웹페이지
1067.
구성
1068.
시
1069.
Expires,
1070.
ETag,
1071.
Last-Modified,
1072.
Cache-Control
1073.
응답
1074.
헤더를
1075.
사용해야
1076.
함.
1077.
•chrome://cache,
1078.
chrome://net-internals/#httpCache
1079.
1080.
Optimizing DNS with prefetching •DNS
1081.
Prefetching이
1082.
일어나는
1083.
상황 1.
1084.
1085.
Blink의
1086.
Document
1087.
Parser가
1088.
현재
1089.
페이지에
1090.
존재하는
1091.
모든
1092.
링크의
1093.
호스트
1094.
목록을
1095.
1096.
1097.
제공하고
1098.
이를
1099.
크롬이
1100.
미리
1101.
조회하기로
1102.
결정했을
1103.
때.
1104.
2.
1105.
링크에
1106.
마우스를
1107.
오버하거나,
1108.
클릭하면
1109.
렌더
1110.
프로세스가
1111.
사용자가
1112.
곧
1113.
내비게이션
1114.
1115.
1116.
1117.
동작을
1118.
취할
1119.
가능성이
1120.
있다고
1121.
판단
1122.
했을
1123.
때. 3.
1124.
옴니박스가
1125.
유망도
1126.
높은
1127.
제안에
1128.
기초해서
1129.
호스트명을
1130.
조회하길
1131.
요청할때. 4.
1132.
과거
1133.
방문
1134.
기록과
1135.
Resource
1136.
Request에
1137.
기반해
1138.
Predictor가
1139.
호스트
1140.
명을
1141.
1142.
1143.
1144.
조회하길
1145.
요청할
1146.
때. 5.
1147.
페이지
1148.
소유자가
1149.
명시적으로
1150.
Prefetching할
1151.
호스트
1152.
이름을
1153.
미리
1154.
조회하라고
1155.
1156.
1157.
1158.
지시할
1159.
경우.
1160.
1161.
1162.
1163.
ex:
1164.
link
1165.
rel=dns-prefetch
1166.
href=“//host_name_to_prefetch.com
1167.
DNS 최적화 구현
방안 •크롬
1168.
버전에
1169.
따라
1170.
다르나
1171.
크게
1172.
두
1173.
가지
1174.
형태(운영체제
1175.
dns
1176.
기반
1177.
조 회와
1178.
chrome
1179.
자체
1180.
dns
1181.
기반
1182.
조회)로
1183.
구성됨.
1184.
1185.
•운영
1186.
체제
1187.
기반
1188.
조회의
1189.
특징.
1190.
장점
1191.
:
1192.
코드가
1193.
단순해짐,
1194.
OS의
1195.
DNS캐시를
1196.
이용할
1197.
수
1198.
있음
1199.
단점
1200.
:
1201.
직접
1202.
관리하지
1203.
않으므로
1204.
필요
1205.
정보가
1206.
부족함
1207.
1208.
1209.
1210.
1211.
1212.
1213.
ex)
1214.
Time-to-live(TTL),
1215.
DNS
1216.
캐시
1217.
자체
1218.
상태
1219.
1220.
•chrome
1221.
자체
1222.
dns
1223.
기반
1224.
조회의
1225.
특징. 장점
1226.
:
1227.
유용정보를
1228.
토대로
1229.
새로운
1230.
최적화들이
1231.
가능해짐 단점
1232.
:
1233.
코드가
1234.
많고,
1235.
복잡해
1236.
짐.
1237.
DNS 최적화 측정 •chrome://histograms/DNS
1238.
•대략
1239.
50%의
1240.
프리패치가
1241.
20ms이내에
1242.
수행
1243.
되었음
1244.
1245.
Optimizing TCP connection management
with pre-connect •사용자가
1246.
실제로
1247.
페이지를
1248.
요청하기
1249.
전에
1250.
목적지
1251.
호스트에
1252.
대해
1253.
TCP
1254.
Handshake를
1255.
먼저
1256.
수행하는
1257.
것을
1258.
의미.
1259.
1260.
•브라우저
1261.
내
1262.
확인방법:
1263.
chrome://dns
1264.
! •수행
1265.
동작 1.
1266.
1267.
소켓Pool에서
1268.
해당
1269.
Hostname으로
1270.
가용한
1271.
소켓이
1272.
있는지
1273.
확인 2.
1274.
존재할
1275.
경우
1276.
추가
1277.
커넥션
1278.
작업
1279.
없이
1280.
Pre-connect
1281.
수행
1282.
3.
1283.
없을
1284.
경우
1285.
TCP
1286.
handshake
1287.
수행
1288.
Optimizing DNS with prefetching •chrome://net-internals#sockets
1289.
Optimizing resource loading with
prefetch hints • 페이지
1290.
작성자가
1291.
브라우저의
1292.
사용자
1293.
체험
1294.
최적화를
1295.
위해
1296.
미리
1297.
힌트를
1298.
작성 하여
1299.
제공함.
1300.
• subresource
1301.
:
1302.
현재
1303.
사용하고
1304.
있는
1305.
리소스.
1306.
1307.
1308.
1309.
1310.
1311.
1312.
1313.
1314.
1315.
1316.
1317.
1318.
1319.
1320.
1321.
1322.
해당
1323.
리소스를
1324.
미리
1325.
가져오는
1326.
것이
1327.
바람직함을
1328.
표시
1329.
1330.
1331.
1332.
1333.
1334.
1335.
1336.
1337.
1338.
1339.
1340.