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UNDERSTANDING THE TOP
FOUR USE CASES FOR IOT
Dheeraj Remella
Director of Solutions Architecture
1
page© 2016 VoltDB page
COMPETITIVE ADVANTAGE
2
page© 2016 VoltDB page
DATA LANDSCAPE IS CHANGING
3
page© 2016 VoltDB
VOLTDB OVERVIEW
Heritage Innovation
Mike Stonebraker
Other Stonebraker Companies
Co-Founded by the 2014 ACM
Turing Award recipient
•  In-Memory (but data is durable to disk)
•  Scale-Out shared-nothing architecture
•  Reliability and fault tolerance
•  SQL + Java with ACID
•  Hadoop and data warehouse integration
•  Open source and commercially licensed (24X7)
Speed
World Record Cloud Benchmark:
YCSB (Yahoo Cloud Serving Benchmark) 2.4m
million tps (transactions per second)
Technology Customers
Success
4
page© 2016 VoltDB page
USE CASES IN TODAY’S SESSION
•  Avoid Unplanned Downtime
•  Asset Tracking
•  Smart Meter Management
•  Fleet Management
5
page© 2016 VoltDB page
AVOIDING UNPLANNED DOWNTIME
6
page© 2016 VoltDB page
TRUE DOWNTIME COSTS
•  E-commerce businesses lose $42,000 to $110,000 per hour from
data center outages
•  Power plants lose two ways: cost of maintenance between
$200,000 to $400,000 and revenue loss between $475,000
(125MW F-class) and $775,000 (250MW F-class) per year
•  Automotive manufacturers can lose over 1 Million dollars per
month from True Downtime Costs (TDC)
•  Oil and Gas equipment: reactive maintenance can save over 10
Million Dollars compared to scheduled maintenance in a year
7
page© 2016 VoltDB page
WHAT CAN IOT DO TO AVOID/REDUCE TDC
•  Collecting health metrics data from sensors – Event/Response:
Responding to events appropriately can be automated
•  Taking preventative measures with actuators – The response to an
anomalous event immediately in real-time can prevent the system before a
breakdown
•  Dashboards showing current health metrics
•  A real-time decision making system that can process data from multiple
streams in real-time to prescribe preventative measures
•  Continuous analysis of data to create new insights
8
page© 2016 VoltDB page
USE CASE – STORAGE DEVICE MANUFACTURER
VM Metrics
Host Metrics
Disk Array Metrics
Event
Separator
Process
Apache Kafka
VM Metrics
Host Metrics
Disk Array Metrics
Ingest,
process,
decide and
aggregate
VoltDB Cluster
Data Lake/
Analytics store
From Installed Disk Arrays
9
page© 2016 VoltDB page
BENEFITS OF REAL-TIME DECISIONS
•  Sustainable performance that scales
•  Non-stop availability – 99.9997% measured uptime
•  Lowering the total cost of ownership by 33% to 66%
•  9 out of 10 issues were detected before the symptoms became
apparent
•  Automated decision making removed the need for level-1 and
level-2 support engineers
10
page© 2016 VoltDB page
ASSET TRACKING
11
page© 2016 VoltDB page
WHY TRACK ASSETS
•  Know where they are (GPS, RFID – Active/Passive) – Supply Chain
Management
•  Inventory control (Barcodes, RFID) Retailers lose nearly 60 Billion dollars
in 2015. Employee theft is the #1 concern.
•  Indoor customer experience enhancement (Wi-Fi, IR and Bluetooth)
•  Asset condition checking (NFC)
12
page© 2016 VoltDB page
USE CASE – WALKER DIGITAL TABLE SYSTEMS
RFID Enabled
Gaming Chips
Smart Game
Tables
VoltDB Cluster Apache Kafka
13
page© 2016 VoltDB page
BENEFITS OF REAL-TIME ASSET TRACKING
14
page© 2016 VoltDB page
SMART METER MANAGEMENT
15
page© 2016 VoltDB page
CHALLENGES UTILITIES ARE FACING
•  Lack of real-time insight into consumers’ spending of the utility
•  Leading to ineffective/sub-optimal grid management
•  Need to reduce CO2 footprint
•  Eliminate inaccurate billing
16
page© 2016 VoltDB page
USE CASE – UK SMART METERING
Smart Meters
Meter Reading
Collectors
VoltDB Cluster
Decision
making and
notifications
Data Lake
17
page© 2016 VoltDB page
BENEFITS OF SMART METER MANAGEMENT
•  Consumers get real time energy costs
•  Real-time billing
•  Influence the consumers’ energy utilization patterns based on tariffs
•  Supports demand response techniques for the utilities companies
•  Effective grid management
•  Management of a large smart meter installation base – 53 million smart
meters
18
page© 2016 VoltDB page
FLEET MANAGEMENT
19
page© 2016 VoltDB page
CHALLENGES IN FLEET MANAGEMENT
•  Driver safety and productivity
•  Fuel utilization management
•  Avoid unplanned downtime
•  Managing reactive maintenance on in-service fleet vehicles
•  Maintaining visibility of in-transit vehicles
20
page© 2016 VoltDB page
USE CASE – MINING EQUIPMENT MANAGEMENT
Telemetry data
Location
services data
Event collating
message
queue
VoltDB Cluster
for correlation
and
notification
Data Lake/
Data
Warehouse
21
page© 2016 VoltDB page
BENEFITS OF REAL-TIME FLEET MANAGEMENT
•  Establishing visibility of the fleet location in real-time
•  Notification of nearest safety zones in case of catastrophes
•  Improved efficiency in fuel utilization
•  Fleet vehicles health metrics enabling just-in-time reactive
maintenance
•  Geo-fencing of the fleet vehicles
22
page© 2016 VoltDB page
COMMON TRAITS OF REAL-TIME NEEDS
•  Ability to ingest data created at a high velocity
•  Need to process each event data or a group of events representing a
meaningful session
•  Apply complex policies and logic to make decisions immediately
•  Notify downstream subsystems to take immediate action
•  Operationalizing big data insights into real-time event processing
VOLTDB COMBINES THESE CAPABILITIES INTO A
SINGLE PLATFORM
23
page© 2016 VoltDB
24
DELIVERING BUSINESS VALUE ACROSS INDUSTRIES
Smart grid/meters, asset tracking & management
	
  
IoT Platforms, Energy, Sensor
Ad optimization, audience segmenting, customer servicePersonalize, Customize, Target
Billing/rights management, subscriber data, etc.
Risk, market data management, customer mgt
Data pipeline, system performance, streaming ETL
Telco
Financial Services
Infrastructure, Dashboards, KPIs
page© 2016 VoltDB page
Q & A
25
page© 2016 VoltDB page
THANK YOU
26

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Understanding the Top Four Use Cases for IoT

  • 1. page UNDERSTANDING THE TOP FOUR USE CASES FOR IOT Dheeraj Remella Director of Solutions Architecture 1
  • 2. page© 2016 VoltDB page COMPETITIVE ADVANTAGE 2
  • 3. page© 2016 VoltDB page DATA LANDSCAPE IS CHANGING 3
  • 4. page© 2016 VoltDB VOLTDB OVERVIEW Heritage Innovation Mike Stonebraker Other Stonebraker Companies Co-Founded by the 2014 ACM Turing Award recipient •  In-Memory (but data is durable to disk) •  Scale-Out shared-nothing architecture •  Reliability and fault tolerance •  SQL + Java with ACID •  Hadoop and data warehouse integration •  Open source and commercially licensed (24X7) Speed World Record Cloud Benchmark: YCSB (Yahoo Cloud Serving Benchmark) 2.4m million tps (transactions per second) Technology Customers Success 4
  • 5. page© 2016 VoltDB page USE CASES IN TODAY’S SESSION •  Avoid Unplanned Downtime •  Asset Tracking •  Smart Meter Management •  Fleet Management 5
  • 6. page© 2016 VoltDB page AVOIDING UNPLANNED DOWNTIME 6
  • 7. page© 2016 VoltDB page TRUE DOWNTIME COSTS •  E-commerce businesses lose $42,000 to $110,000 per hour from data center outages •  Power plants lose two ways: cost of maintenance between $200,000 to $400,000 and revenue loss between $475,000 (125MW F-class) and $775,000 (250MW F-class) per year •  Automotive manufacturers can lose over 1 Million dollars per month from True Downtime Costs (TDC) •  Oil and Gas equipment: reactive maintenance can save over 10 Million Dollars compared to scheduled maintenance in a year 7
  • 8. page© 2016 VoltDB page WHAT CAN IOT DO TO AVOID/REDUCE TDC •  Collecting health metrics data from sensors – Event/Response: Responding to events appropriately can be automated •  Taking preventative measures with actuators – The response to an anomalous event immediately in real-time can prevent the system before a breakdown •  Dashboards showing current health metrics •  A real-time decision making system that can process data from multiple streams in real-time to prescribe preventative measures •  Continuous analysis of data to create new insights 8
  • 9. page© 2016 VoltDB page USE CASE – STORAGE DEVICE MANUFACTURER VM Metrics Host Metrics Disk Array Metrics Event Separator Process Apache Kafka VM Metrics Host Metrics Disk Array Metrics Ingest, process, decide and aggregate VoltDB Cluster Data Lake/ Analytics store From Installed Disk Arrays 9
  • 10. page© 2016 VoltDB page BENEFITS OF REAL-TIME DECISIONS •  Sustainable performance that scales •  Non-stop availability – 99.9997% measured uptime •  Lowering the total cost of ownership by 33% to 66% •  9 out of 10 issues were detected before the symptoms became apparent •  Automated decision making removed the need for level-1 and level-2 support engineers 10
  • 11. page© 2016 VoltDB page ASSET TRACKING 11
  • 12. page© 2016 VoltDB page WHY TRACK ASSETS •  Know where they are (GPS, RFID – Active/Passive) – Supply Chain Management •  Inventory control (Barcodes, RFID) Retailers lose nearly 60 Billion dollars in 2015. Employee theft is the #1 concern. •  Indoor customer experience enhancement (Wi-Fi, IR and Bluetooth) •  Asset condition checking (NFC) 12
  • 13. page© 2016 VoltDB page USE CASE – WALKER DIGITAL TABLE SYSTEMS RFID Enabled Gaming Chips Smart Game Tables VoltDB Cluster Apache Kafka 13
  • 14. page© 2016 VoltDB page BENEFITS OF REAL-TIME ASSET TRACKING 14
  • 15. page© 2016 VoltDB page SMART METER MANAGEMENT 15
  • 16. page© 2016 VoltDB page CHALLENGES UTILITIES ARE FACING •  Lack of real-time insight into consumers’ spending of the utility •  Leading to ineffective/sub-optimal grid management •  Need to reduce CO2 footprint •  Eliminate inaccurate billing 16
  • 17. page© 2016 VoltDB page USE CASE – UK SMART METERING Smart Meters Meter Reading Collectors VoltDB Cluster Decision making and notifications Data Lake 17
  • 18. page© 2016 VoltDB page BENEFITS OF SMART METER MANAGEMENT •  Consumers get real time energy costs •  Real-time billing •  Influence the consumers’ energy utilization patterns based on tariffs •  Supports demand response techniques for the utilities companies •  Effective grid management •  Management of a large smart meter installation base – 53 million smart meters 18
  • 19. page© 2016 VoltDB page FLEET MANAGEMENT 19
  • 20. page© 2016 VoltDB page CHALLENGES IN FLEET MANAGEMENT •  Driver safety and productivity •  Fuel utilization management •  Avoid unplanned downtime •  Managing reactive maintenance on in-service fleet vehicles •  Maintaining visibility of in-transit vehicles 20
  • 21. page© 2016 VoltDB page USE CASE – MINING EQUIPMENT MANAGEMENT Telemetry data Location services data Event collating message queue VoltDB Cluster for correlation and notification Data Lake/ Data Warehouse 21
  • 22. page© 2016 VoltDB page BENEFITS OF REAL-TIME FLEET MANAGEMENT •  Establishing visibility of the fleet location in real-time •  Notification of nearest safety zones in case of catastrophes •  Improved efficiency in fuel utilization •  Fleet vehicles health metrics enabling just-in-time reactive maintenance •  Geo-fencing of the fleet vehicles 22
  • 23. page© 2016 VoltDB page COMMON TRAITS OF REAL-TIME NEEDS •  Ability to ingest data created at a high velocity •  Need to process each event data or a group of events representing a meaningful session •  Apply complex policies and logic to make decisions immediately •  Notify downstream subsystems to take immediate action •  Operationalizing big data insights into real-time event processing VOLTDB COMBINES THESE CAPABILITIES INTO A SINGLE PLATFORM 23
  • 24. page© 2016 VoltDB 24 DELIVERING BUSINESS VALUE ACROSS INDUSTRIES Smart grid/meters, asset tracking & management   IoT Platforms, Energy, Sensor Ad optimization, audience segmenting, customer servicePersonalize, Customize, Target Billing/rights management, subscriber data, etc. Risk, market data management, customer mgt Data pipeline, system performance, streaming ETL Telco Financial Services Infrastructure, Dashboards, KPIs
  • 25. page© 2016 VoltDB page Q & A 25
  • 26. page© 2016 VoltDB page THANK YOU 26