微軟願景 – be what’s next 用 創新打造新世代的 it 藍圖

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微軟願景 – Be What’s Next 用 創新打造新世代的 IT 藍圖. 微軟亞洲研究院常務副院長 趙 峰. Microsoft Research (MSR). Cambridge, MA. Silicon Valley, CA. Redmond, WA. Cambridge, UK. Beijing, China. Bangalore, India. MSR-Asia @ 13. Founded Nov 5, 1998 200+ researchers 3000+ papers 260+ tech transfers. Big Data. - PowerPoint PPT Presentation

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微軟願景 – Be What’s Next用創新打造新世代的 IT 藍圖微軟亞洲研究院常務副院長 趙峰

Microsoft Research (MSR)

Cambridge, MA

Cambridge, UK

Silicon Valley, CA

Bangalore, India

Redmond, WA

Beijing, China

Advance the state-of-the-art in computing

Rapidly transfer technology to products

MSR-Asia @ 13• Founded Nov 5, 1998• 200+ researchers• 3000+ papers• 260+ tech transfers

Big Data

Cloud Computing

Natural User Interface

KinectIdentity

MiningMobilityData

TigerIndex Serving

Knowledge discovery in huge and heterogeneous data

Social structure

Traffic flows and road networks Points of interest User-generated content

Human mobilityUser locations

Knowledge Mined from Taxicabs

Recommending Driving Direction

Detecting Events

Connecting Taxi Drivers and PassengersUrban Planning

The Magic Is Here

Tiger: Next Generation Index Serving Platform for Bing

What is Index Serving?

“Microsoft Research”

http://research.microsoft.com/en-us/• Bing is serving billions of queries

every day• Each query searches for the best

webpages among billions of web documents

• It is the most critical infrastructure for the search engine

What is Tiger?• Tiger is the next generation index

serving platform for Bing• Leveraging Solid State Disks (SSD) to

deliver great performance improvements

• Translates to significant annual savings, and better user experience for Bing

• A close collaboration between Bing engineering teams and MSR Asia– Three researchers working almost full-time

for one and a half years among the product teams

– Demonstrates our commitment to leveraging research to improve Microsoft products

Tiger Index Server is Live!Try it out at http://www.bing.com

Data Center Connectivity• Challenges– Scaling: connect 100K-1M servers– Fault tolerance: failures are common– High performance: highly demanding apps – Low cost: commodity devices whenever

possible• Opportunity – Data centers owned by single org;

deployment can be easier than on Internet

ServerSwitch Design

Softw

are

Hard

war

e

PCI-E

• Packet forwarding in commodity switching ASIC– High performance and limited

programmability

• Low latency and high throughput interconnection

• Full programmability at server– Kernel module for low latency– User space for

programmability

NSDI’11 Best Paper Award

Kinect and You

Recognizing you• Your identity• Your facial

expression

Kinect Identity: Recognizes You

“Kinect ID” User Differentiation Personalization

Kinect Identity

Face recognitionRobust to varying light condition

Fusion of multiple signaturesFace + clothes + body height

Handling real world variationsSignatures are learned from real data

User Identity

faceclothes height

+ +

Collaboration with Kinect Platform Team

Turning Ideas Into RealityKinect Contribution Highlights

• Kinect Identity: shipped Nov 2010

• Kinect Head Pose Tracking: shipped Aug 2011• Kinect-based Object Digitization: shipped June

2011• Avatar Kinect: shipped July 2011

NaturalUserInterface

BigData

Cloud Computing