1. Evolution in Coming 10 Years: What's the Future of Network? - Evolution in Coming 10 Years: What's the Future of Network? - Big Data- Big Changes in the Network Waseda GITS Nakazato lab WangHuan 2013 2 nd Oct

2. Outline Big Data Introduction Characteristics of Big Data Challenges Big Data Transmission Network Big Data Network Future Q/A

3. Who’s Generating Big Data Social media and networks (all of us are generating data) Scientific instruments (collecting all sorts of data) Mobile devices (tracking all objects all the time) Sensor technology and networks (measuring all kinds of data) The progress and innovation is no longer hindered by the ability to collect data But, by the ability to manage, analyze, summarize, visualize, and discover knowledge from the collected data in a timely manner and in a scalable fashion 3

4. How much data? Google processes 20 PB a day (2008) Wayback Machine has 3 PB + 100 TB/month (3/2009) Facebook has 2.5 PB of user data + 15 TB/day (4/2009) eBay has 6.5 PB of user data + 50 TB/day (5/2009) CERN’s Large Hydron Collider (LHC) generates 15 PB a year 640K ought to be enough for anybody.

5. Characteristics of Big Data: 1-Scale (Volume) Data Volume  44x increase from 2009 2020  From 0.8 zettabytes to 35zb Data volume is increasing exponentially 5 Exponential increase in collected/generated data

6. Characteristics of Big Data: 2-Complexity (Varity) Various formats, types, and structures Text, numerical, images, audio, video, sequences, time series, social media data, multi-dim arrays, etc… Static data vs. streaming data A single application can be generating/collecting many types of data 6 To extract knowledge  all these types of data need to linked together

7. Characteristics of Big Data: 3-Speed (Velocity) Data is begin generated fast and need to be processed fast Online Data Analytics Late decisions  missing opportunities Examples  E-Promotions: Based on your current location, your purchase history, what you like  send promotions right now for store next to you  Healthcare monitoring: sensors monitoring your activities and body  any abnormal measurements require immediate reaction 7

8. Challenges How to transfer Big Data?

9. Big Data Transmission Data transmission with high-value-per-bit  SONET/SDH (Synchronous Optical Network) Lower-cost-per bit technologies  Carrier Ethernet. Networking switching is moving rapidly to 10-40 Gbps Big data requires big networks.

10. Big Data- Network However Ethernet on its own is not sufficient to handle the torrent of Big Data. Network architectures also need to change to become flatter and more flexible. Basic idea:  Push computing to data, not pushing data to computing.

11. Limitations of Current Networks 11 Switches

12. Old ways to configure a network Limitations of Current Networks Specialized Packet Forwarding Hardware App Specialized Packet Forwarding Hardware App Specialized Packet Forwarding Hardware App Specialized Packet Forwarding Hardware App Specialized Packet Forwarding Hardware Operating System Operating System Operating System Operating System Operating System Operating System Operating System Operating System Operating System Operating System App 12

13. An OS for Networks Towards an Operating System for Networks Global Network View Protocols Control via forwarding interface Network Operating System Control Programs Software-Defined Networking (SDN) 13

14. Q & A Thank You for your attention! Q/A