• Save
Io e iot_m2m_platform_by_sateesh_addepalli
Upcoming SlideShare
Loading in...5
×
 

Io e iot_m2m_platform_by_sateesh_addepalli

on

  • 433 views

 

Statistics

Views

Total Views
433
Views on SlideShare
433
Embed Views
0

Actions

Likes
0
Downloads
0
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Io e iot_m2m_platform_by_sateesh_addepalli Io e iot_m2m_platform_by_sateesh_addepalli Presentation Transcript

    • Sateesh Addepalli August 2012© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1
    • Collaborative Collective Strategic Intelligence Value & Creation/ Creativity Capture Rapid Innovation Bringing to bear Rapid Innovation in a Collaborative/Collective manner that has Strategic Value To Customers/Businesses/Citizens/Society In General© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2
    • • Rapid urbanization — According to Pop. Reference Bureau, 70% percent of the world population will be urban by 2050, creating logistical and transportation gridlock.• Growth of aging population is accelerating — As per RAND group, by 2030, elderly population will reach 24 million per year, requiring assistive living and elderly care• The rise of the global middle class — As per Reuters Info Graph, global middle class will rise from current 2 billion to 4.9 billion by 2030. This creates massive opportunity in terms of spending power, but also, puts enormous stress on energy, food, other resources and environment.• Alarming rise in health care cost — As per, Benton foundation, in 2006 healthcare consumed 16% of US GDP and is projected to consume 19% of US GDP by 2017. Trend is to use digital technology such as „Telehealth‟ and „digital health IT‟ to reduce health care cost by 100s of billions of dollars.• Heightened social responsibility in sustainability — Education programs through UN agencies, taking effect on private/public entities in caring about sustainability and want to associate themselves with the word “Smart Everything” e.g net positive energy usage, giving back to grid, reducing the pollution, saving the environment, positively influencing the climate change etc.• Digital world is creating massive potential virtual capital — Need to translate to physical world for better “Quality of Live” for human being. Source: Multiple© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 3
    • Human Society Better “Quality of Life” & Sustainability Real Virtual World World© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 4
    • resources, risks, health and environmentSource: Cisco© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 5
    • Perception is not always the reality© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 6
    • Perception is not always the reality© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 7
    • Perception is always the reality© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 8
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 9
    • Infrastructure Space Cloud Space Swarming Space Transportation Sensors, Actuators and Mobile Devices and Shipping Pervasive Service Exchange(PSX) & SDP Service ASR Provider Collaboration Auto Care/ Telematics Edge IP CORE RAN/LAN Visualization Utility & Power ISR Decision Enterprise Remote Healthcare Edge Compute Servers and Storage , Smart Gateways, Switches/Routers, Communities Base Stations/APs Horizontal Capabilities across Spaces Middleware : Discovery, Deterministic Messaging, Object Context, Object Execution, Object & Context Mobility, Object & Context Security, Dynamic Offloading , Federated Directory Services, Distributed Processing, Integration to App Framework Big/Fast Data Middleware : Data Ingestion, Filtering, Data Fusion, Geo-Data Management, Distributed Indexing and Search Big/Fast Data Analysis : Complex Event Processing, Event Stream Processing, Distributed Data Mining, Correlation and Analys Application Framework : Pervasive Service Exchange (PSX) Platform + ESB to integrate SS, IS, ERP/CRM© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 10
    • Service Delivery Business Policies BI Enterprise Service Bus (ESB) Collaboratio Data SC / Pervasive n Service SCADA Ware ERP CRM Work Sensor Framework Mgmt Systems Flow Framework XMPP House© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 11
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 12
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 13
    • 1. Creation of Reference IoT Platform Architecture 2. Innovation and experimentation on a. Sensing and Actuation Technologies b. Big Data/Fast Data/Real-Time Data Processing Techniques c. Real-time sensing and control protocols d. Middleware technologies e. Common Security, Privacy, Identity and Trust Framework© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 14
    • 3. Show casing various vertical use cases over IoT Platfrom a. Smart Parking and Cities b. Health and Wellness c. Intelligent Transportation and SCV d. Public Safety e. Smart Grid and Energy f. Smart Building g. Industrial Automation© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 15
    • • Network connectivity options AVPN/MIS DC/Cloud to/from RPL root nodes: Applications 1. 2G/3G direct to CGR 1000 Mobility EPC 2. 3G/4G → Ethernet via 819 ISR Ethernet access 3. 3G/4G → WiFi via 819 ISR switched/routed network Cell Site 3 4. Ethernet (ISR/Catalyst) → 3G/4G Ethernet 4 (e.g., IA2K, IA3K, Cat2955) WiFi 819 ISR WiFi mesh root node • Optimal connectivity model 3G/4G (Cisco WiFi) varies depending upon: 1 WiFi mesh Application(s)Geographic 2 2G/3G/4G/WiFi/Ethernet Grid Cell deployment 819 ISR WiFi mesh node(see next slide) 2G/3G (Cisco WiFi) Cost models Ethernet WiFi Fog computing root node (e.g., CGR 1000) Network connectivity options: • IEEE 802.15.4 3rd party sensors/vehicles • WiFi direct (tbd) (variable, subject to application, e.g., parking space sensors) • Cellular direct (tbd) © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 16
    • Geographic Grid System Map • Geographic grid system may represent city, state, highway, parking lot, etc. • Network connectivity between “grid cell” and AVPN/MIS/Cloud depends upon various factors as outlined on previous slide • Within each grid cell, there exists an RPL root node and application-specific sensors Sensors/Vehicles WiFi mesh node or 2G/3G/4G cell site RPL root node© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 17
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 18
    • Cloud Virtual xChange Monitoring Control Analytics Collaboration Security & Privacy Apps Identity & Trust Space Cloud Pervasive Platform with Open APIs Service Orchestration & Delivery Big Data Management Cross Platform Pervasive Middleware With APIs to/from Fog Federated Monitoring Control Analytics Collaboration Apps Federated Space Security & Privacy Identity & Trust Distributed Pervasive Platform with Open APIs Service Orchestration & Delivery Big Data Management Edge/Fog Compute Pervasive SW Components including Middleware With Cloud APIs to/from Cloud or other Fog Distributed Core SDN + (CPUs, GPUs, VM, Control Sandbox) Virtualization Pervasive Sensor-Actuator Platform Identity & Trust Swarming Space Security & Network of Sensory Swarms (PLC, 802.11x, Zigbee, SCADA,TTEthernet, Privacy Asset/Sens IPv6,WirelessHART, RPL) or/ Actuator Fabric Industrial Climate & Health & Resources Energy Automation Disasters Emergency Vehicles© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 19
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 20
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 21
    •  Finally communicate with drivers  Publish location and policy (free!)  Reservations capabilities  Dynamic advertising  Real-time availability© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 22
    • AI Learning Models© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 23
    • © 2010 Cisco and/or its affiliates. All rights reserved. Source : NASA Cisco Confidential 24
    • Business Intelligence Service (Analytics, Visualizations, Alerts, Control) HTTP | HTTPS | XDBC | WebDAV | REST | AJAX | JSON | SQL JDBC/ODBC Search Query API SQL Query API Data Servicing Master Node Query Parser, Planner/Scheduler, Dispatcher, Result Collector Distributed Query Processing at Network NOSQL SQL Streaming Streaming Streaming Distributed XDB Data Streaming or XDB RDBMS Storage(Indexed, Relational) Distributed Statistical Models for Data Filtering (Correlation, Regression, Anomaly Detection etc) Data Discovery & Aggregation Semi- Un-structured Structured structured Raw Data Streams© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 25
    • Domains (tbd) Transit Utilities Health … Acquisition tabular, web, sensors, … Disciplines (tbd) Project 1 Integration … GIS, visualization, data science, … Analysis Project 4 Project 3 Project 2 Data mining, OR, modeling Living Lab, Innovation District Science “Users” Citizen Science New York City© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 26
    • Infrastructure Efficiency Assessment Meet Enterprise Requirements  Reduce the environmental and economic impact of energy consumption  Optimize large data center projects (consolidation, virtualization)  Improve electrical efficiency and availability to realize capacity gains Benchmark Energy Efficiency of IT Infrastructure  Electrical capacity  Electrical efficiency  Cooling burden factor Benefits  Facilities burden factor  Thermal density  Reduce energy consumption and costs Recommendations to Improve Efficiency  Establish efficiency  Benchmark energy efficiency: CADE, PUE, DCiE metrics benchmarks for space, power and cooling  Analyze performance for CPU, storage, and network resource  Initiate active energy utilization management  Project efficiency gains through modeling and ROI analysis© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 27
    • Automated Land change Evaluation,Reporting and Tracking System(ALERTS) enabling near real timeautomated detection and characterizationof land use change events in Forests, ALERTS is a global platform for landFood, Energy and Water Systems change detection, providing: • Global coverage of land change events • 250 m x 250m resolution  50 m • Near-real time global refresh and reconstructed 11 yr historical record • Initial assessments suggest that performance is on par with alternative approaches • Automated, very low-cost operation, leveraging US Billions spent in last 20 years in EO satellites and frontier computer science / engineering • Customizable electronic alerts; tailored to decision flows of stakeholders © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 28
    • © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 29