cloud computing research
Post on 09-Jan-2017
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1 EMC CONFIDENTIAL—INTERNAL USE ONLY EMC CONFIDENTIAL—INTERNAL USE ONLY
Karin Breitman
@kbreitman
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@kbreitman, PhD Chief Scientist – EMC Brazil R&D
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• R&D Center for Applied Research in Big
Data
• Inaugurated in May 2014.
• Corporate investment of US$ 100
million
• Located in Rio de Janeiro Technology Park
• Executive Briefing Center
EMC’S BRAZIL R&D CENTER
Support Sales & Consulting Win the sale Footprint & Mindshare Exceptional delivery
--
Research & Intellectual Property Invention Disclosures
Global Portfolio New products Replicable opportunities (O&G, Telco, Finance, Public Sector)
42 2.5B
TENNETS
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SEISMIC COMPRESSION Lossless Compression
Performed by EMC BRDC
Machine Learning
Parallel Processing
Compress seismic files Bit by bit lossless compression
Real pre-stack data Mobility and online access (speed is important) Storing (size is important)
Faster and more efficient algorithm Massive Parallelism
-500
0
500
1
116
231
346
461
576
691
806
921
1036
1151
1266
1381
1496
1611
1726
1841
1956
2071
2186
2301
2416
2531
2646
2761
2876
2991
A Seismic Trace
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CUSTOMER GEOLOCATION
Identification of customer geo-referenced patterns Customer segmentation Different chart analysis
Geo-referencing
Customer profiling, Roaming identification and Population movement patterns.
Call Detail Record (CDR) of network traffic (voice and data) CDRs from Rio de Janeiro city
Performed by EMC BRDC
Log Analytics
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ROAMING
ANALYSIS
USER
PROFILING
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Driver Ranking Fuel Consumption Predictor (e-Driver)
Machine
Learning Optimize fuel consumption based on past trips, geography, maintenance history and physical model (speed, acceleration, energy)
Relational DB 2 years of data 300 bus routes
Performed by EMC BRDC
Time-Series Analysis
Parallel Processing
Fuel Consumption Optimization
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IOT Uses GPS information to predict when a
bus will arrive
How to predict failures using machine sensors?
How do I help broadcasters create audience based content?
How to find anomalies and actions to leverage production of plants based on a large number of time series?
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CITIES OF THE FUTURE PaaS
PaaS that exposes data feeds and API’s for Internet-of-Things applications within a smart city context.
Performed by EMC BRDC
Machine Learning
How to manage massive and heterogeneous data that requires normalization and standardization to address Data Orchestration and integration
Geo-referencing
Time-Series Analysis
Real-Time
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ANALYTICS PLATFORM LAYER
DATA INTEGRATION
EMC Data Lake
traffic safety transport healthcare education
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KPIs
Metrics
ANALYTICS PLATFORM LAYER
DATA INTEGRATION
traffic safety transport healthcare education
EMC Data Lake
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KPIs
Metrics
APPS LAYER
ANALYTICS PLATFORM LAYER
DATA INTEGRATION
traffic safety transport healthcare education
EMC Data Lake
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privacy
portability security
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