How to Combat Rapidly Growing Mobile Data by Hideyuki Sasaki

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How to combat rapidly growing mobile traffic Hideyuki Sasaki Interna0onal Business Planning Office 1

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How to Combat Rapidly Growing Mobile Data by Hideyuki Sasaki

Transcript of How to Combat Rapidly Growing Mobile Data by Hideyuki Sasaki

Page 1: How to Combat Rapidly Growing Mobile Data by Hideyuki Sasaki

How to combat rapidly growing mobile traffic

Hideyuki  Sasaki  Interna0onal  Business  Planning  Office

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Agenda

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1.  Our  introduc0on  2.  Current  status  of  the  Internet  in  Japan  3.  Our  approach

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What is BBIX?

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President & CEO Masayoshi Son

Foundation

Paid-in Capital

Group Employees

SoftBank Group is Japan’s Largest Internet Company

September 3, 1981

21,858 (As of March 31, 2011)

Number of Group Companies 900

188.5 Billion Yen (As of March 31,

2012)

4 *1USD=80JPY

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Growth with the Internet

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BBIX has 6 IX locations

Fukuoka

Osaka

Tokyo Tokyo metropolitan

Tokyo 1st

Tokyo 2nd

Nagoya

Tokyo 3rd

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Fastest growing IX in Japan

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Jan-­‐13  

Feb-­‐13  

Mar-­‐13  

Apr-­‐13  

May-­‐13  

Jun-­‐13  

Jul-­‐1

3  

Aug-­‐13  

Sep-­‐13  

Oct-­‐13  

Traffic Growth

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What’s happening in Japan?

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30% growth every year 11

1235    1363    

1516    1696     1730    

1905    

2275    

0  

500  

1000  

1500  

2000  

2500  May-­‐10  

Nov-­‐10  

May-­‐11  

Nov-­‐11  

May-­‐12  

Nov-­‐12  

May-­‐13  

(Gbps) Average  Traffic

Source:  hOp://www.soumu.go.jp/johotsusintokei/field/tsuushin06.html

Amount of Internet Traffic in Japan

Source:  MIC  “我が国のインターネットに置けるトラフィック総量の把握(August-­‐2013)”

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Doubles every year 12

62.9   71.2   82.2  105.2  

123.5  154.6  

181.3  

234.8  

274.3  

328.9  349.0  

422.0  

469.8  

0  

50  

100  

150  

200  

250  

300  

350  

400  

450  

500  

Jun-­‐10  

Sep-­‐10  

Dec-­‐10

 

Mar-­‐11  

Jun-­‐11  

Sep-­‐11  

Dec-­‐11

 

Mar-­‐12  

Jun-­‐12  

Sep-­‐12  

Dec-­‐12

 

Mar-­‐13  

Jun-­‐13  

(Gbps) Average  Traffic

98.8  

110.6  125.5  

157.1  180.6  

227.9  270.0  

350.2  

417.9  

487.7  

522.9  

623.2  

712.7  

0  

100  

200  

300  

400  

500  

600  

700  

800  

2010.06  

2010.09  

2010.12  

2011.03  

2011.06  

2011.09  

2011.12  

2012.03  

2012.06  

2012.09  

2012.12  

2013.03  

2013.06  

(Gbps) 最繁時トラヒック  (23時台の平均トラヒック)

1.71 Times

+12%

+25%

+15%

+26%

+18%

+13%

1年で

1.71倍 に増加

+30%

+19%

+17%

+7%

+19%

+14%

Source:  hOp://www.soumu.go.jp/johotsusintokei/field/tsuushin06.html

Mobile Traffic Trend in Japan

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Technology Innovation

More than

10Times

Smart Phone

Feature Phone

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Source:  So\Bank’s  shareholder’s  mee0ng  in  2012

Daily usage (Japan) 97mins

96mins 23mins 77mins 21mins

Radio

Smartphone has become most used device

Magazine  Newspaper

Computers Television Mobile

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Mobile Broadband Era

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Anywhere, Anytime

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What happens to our backbone?

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Multiple peaks &

Directional changes

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Traffic shifts even within 24hs!

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Graph for FNO

Peak once at night

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Traffic shifts even within 24hs!

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Graph for FNO

Graph for MNO

Multiple peaks

Peak once at night

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North-South Traffic

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Mobile  Network  Operators

The  Internet  (Transit  network)

Social  Plaaorm  Providers  Cloud  /  Datacenter

Social  Applica0on/Game  Provider  Cloud  /  Datacenter

Typical  Traffic  Flow

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East-West Traffic

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Mobile  Network  Operators

The  Internet  (Transit  network)

East-­‐West

Strict  reliability  requirement  like  

“5secs  rule”

Social  Plaaorm  Providers  Cloud  /  Datacenter

Social  Applica0on/Game  Provider  Cloud  /  Datacenter

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North-South Traffic

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Mobile  Network  Operators

The  Internet  (Transit  network)

DDoS  like  

Traffic

Massive  amount  of  

short  packets

East-­‐West

Strict  reliability  requirement Social  Plaaorm  Providers  

Cloud  /  Datacenter Social  Applica0on/Game  Provider  

Cloud  /  Datacenter

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Mobile  Network  Operators

The  Internet  (Transit  network)

East-­‐West

Delay

Conge stion

Packet Loss

Transit network became “bottleneck”

Social  Plaaorm  Providers  Cloud  /  Datacenter

Social  Applica0on/Game  Provider  Cloud  /  Datacenter

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Transition of Internet topology

Subscribers/Users              

Tier1

Tier2 Tier2

Tier3 Tier3

Data  Center

Tier1 Tier1

Tier2 Tier2 Tier2

Tier3 Tier3 Tier3

1st Starting of the Internet 2nd Rising Data Centers

Tier1

Tier2 Tier2

Tier3 Tier3

Data  Center

3rd Hyper Giants era

CDN CDN

CDN Hyper  Giants Service  

Plaaorm/  Cloud/  DC  

We  are  here

4th Cloud Computing era Tier1

Tier2 Tier2

Hieratical Structure of the Internet will be replaced soon by “Direct Connection” between Subscribers and Contents.

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Think about the future!

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Serious future will come...

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

Overwhelming  Traffic  Growth

Expensive  IX  price

Quality  Control?

Cost  management  for  the  future? Otemachi  

Problem

etc…

etc…

etc…

etc…

Let’s think about the Interconnection.

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Do we still need such complicated network?

Tier1

Tier2

Tier1

Tier2

Tier2

Tier2

Tier2

Tier2 Tier2

Tier2

Tier2

Tier2

Tier1

Tier2

Tier2

Tier2

Tier2 Tier2

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Let’s simplify the network! J

Internet Exchange

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•  Opera0on  collabora0on    •  Traffic  dispersion  to  regions  away  from  Otemachi,  Tokyo.  •  Building  new  interconnec0on  scheme  •  etc…  

+ Promoting direct connection

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Cloud IX Study Council

hOp://www.bbix.net/_shared/asset/en/press/press_20130919.pdf

Par0cipa0ng  companies    (that  have  given  permission  for  lis0ng,  in  alphabe0cal  order)    

•  BBIX  Inc.  •  CyberAgent,  Inc.  •  DataHotel  Co.,  Ltd.    •  GMO  Internet,  Inc.    •  GREE,  Inc.  •  IDC  Fron0er  Inc.  •  mixi,  Inc.  •  NEC  BIGLOBE,  Ltd.  •  NIFTY  Corpora0on  •  SAKURA  Internet  Inc.  •  So\Bank  BB  Corp.  •  TOKAI  Communica0ons  Corpora0on  •  Others    

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What’s the Ideal Interconnection environment?

Brainstorming with professionals  

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Results of discussion

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酒・寿司

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Sometimes fun & treats…

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Sometimes fun & treats… Closed relationship!! Community-­‐centric  movement…

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

BFD introduction Bidirectional Forwarding Detection

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

What is BFD?

BFD is effective to minimize the down time.

Outage  Detec0on

Recovery  from  the  outage

Convergence  Time Time  for  outage  detec0on

Outage  Dura0on

outage

Are  you  sa0sfied  with  Keepalive  0me?  60/180??  30/90??  

Let’s  shorten  the  0me!

BFD  can  shutdown  the  BGP  session  in  under  a  second!

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

Detection time of outage

Significant improvement!

BFD Non-­‐BFD

3  secs 71  secs Source:  Test  result  between  our  par0cipants  companies

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

Effect of Direct connection

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  

Case 1: Improvement on Latency

Peer Up

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•  Overwhelming  traffic  growth  • Most  expensive  IXes  in  the  world  •  Quality  control…?  •  Cost  management  for  the  future  •  Otemachi  Problem  •  etc…  Peer Up

Case 2: Improvement on stability

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Summary

東 京

シンガポール

香 港

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•  Mobile broadband in Japan •  “Cloud IX” community •  What we’re doing over IX

What’s next for Asia?

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“No Peering, No Internet”