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Ibm iot overview
The document provides an overview of the Internet of Things (IoT) and IBM's solutions in this area. It discusses the scalability issues with today's IoT solutions and the evolution needs to address billions of connected devices. The document outlines IBM's IoT viewpoint which covers the full lifecycle from connecting devices to analyzing data. It also summarizes some of IBM's IoT solutions including analytics offerings, IoT foundations, gateways, and DevOps solutions. The document stresses that both business models and technology need evolution to fully realize the potential of the IoT.
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Ibm iot overview
- 1. Internet Of Things- Overview Eric Cattoir IBM Rational Client Technical Professional Member of the IBM Benelux Technical Expert Council @CattoirEric
- 2. © 2015 InternationalBusiness Machines Corporation 2@CattoirEric Disclaimer • This presentation is based on a lot of sources – See also references slide in back – IBM Research – IBM Academy of Technology – IBM Institute for Business Value • Purpose is to give an overview – not to be complete on any of the technologies • This world is evolving quickly • It tries to give a view on how IBM fits in the Internet of Things
- 3. 3 Agenda Introduction Internet of ThingsViewpoint IBM Solutions Summary
- 4. 4 Agenda Introduction Internet of ThingsViewpoint IBM Solutions Summary
- 5. © 2015 InternationalBusiness Machines Corporation 5@CattoirEric Short Intro Video https://www.youtube.com/watch?v=FNtgvLNVVKY
- 6. © 2015 InternationalBusiness Machines Corporation 6@CattoirEric We are at the threshold of a massive explosion in the history of computing Source IBM Institute for Business Value study : Device Democracy – Saving the future of the Internet of Things http://ibm.co/1rMQj2I
- 7. © 2015 InternationalBusiness Machines Corporation 7@CattoirEric Importance of Analytics
- 8. © 2015 InternationalBusiness Machines Corporation 8@CattoirEric Software delivery Intelligent/ Connected Systems Software component in smart products driving increased value and differentiation Big Data Insights on new products by more efficiently interpreting massive quantities of data Cloud Demand for apps requires fast, scalable environments for dev and test, as well as production Instrumented Products Industry requirements demand faster response to regulations and standards, with traceability and quality Social Business Broader set of stakeholders collaborates to deliver continuous innovation and value Mobile Modern workforce expects constantly updated software to connect to enterprise systems Software delivery is at the heart of today’s top technology trends
- 9. 9 Agenda Introduction Internet of ThingsViewpoint IBM Solutions Summary
- 10. © 2015 InternationalBusiness Machines Corporation 10@CattoirEric Scalability Issues with Today's Solutions
- 11. © 2015 InternationalBusiness Machines Corporation 11@CattoirEric Evolution Needs
- 12. © 2015 InternationalBusiness Machines Corporation 12@CattoirEric IBM Internet of Things View Industry Solutions Design & Engineer Operate Manage Analyze & Optimize Connect, Collect, & Command Secure Devices, Gateways, & Assets Protocols Manage The lifecycle of Assets ensuring safe, reliable and predictive operations Secure Full Lifecycle from device till Industry solutions Analyze & Optimize Analytics on static or moving data at right level in the solution Operate Solution from development to production Design and Engineer Continuous engineering of Systems of Systems Connect, Collect & Command Connect devices using a variety of protocols and collect data.
- 13. 13 Agenda Introduction Internet of ThingsViewpoint IBM Solutions Summary
- 14. © 2015 InternationalBusiness Machines Corporation 14@CattoirEric IBM Internet of Things Solutions Industry Solutions Design & Engineer Operate Manage Analyze & Optimize Connect, Collect, & Command Secure Devices, Gateways, & Assets Protocols - QRadar - Trusteer - IoT Foundation, - Informix - Long Range Signalling and Control - Predictive Maintenance and Quality (PMQ) - Streams - ILOG CPLEX - BigInsights - Cognos - SPSS - Continuous Engineering Solution - Maximo -Tririga - Smarter Cities offerings - GBS, GTS engagements - Research FOAK / PoC - Devops Solution - ARM mbed starter kit for IoT - Nodered - MQTT - Messagesight - ADEPT prototype
- 15. © 2015 InternationalBusiness Machines Corporation 15@CattoirEric IBM Research Industry Solutions
- 16. © 2015 InternationalBusiness Machines Corporation 16@CattoirEric Connected Car High Level Architecture
- 17. © 2015 InternationalBusiness Machines Corporation 17@CattoirEric Example: Smarter Buildings Detailed Physical Model of art gallery helped identify 3D view of micro-climate; Recommended placement of art work, sensor location, where to locate HVAC, and restrictions on number of visitors tightly control micro-climate Predictive analytics included weather forecasts and historical number of visitors to ensure HVAC changes could be made in advance Deployed entire IT solution on-site and integrated with Building Management System IBM Solution Improve art preservation by tightly controlling micro-climatic conditions in art gallery Need to control temperature, humidity, corrosion contamination, light levels, air flow, pressure, people movement Solution should be invisible, i.e. no sensors or wires visible, non-disruptive to the business Client Requirements Client: Museum (National Historic Landmark ) on the United States East Coast
- 18. © 2015 InternationalBusiness Machines Corporation 18@CattoirEric A lightweight publish/subscribe protocol with predictable bi-directional message delivery Lossy or Constrained Network Lossy or Constrained Network Monitoring & Analytics Server Commands or Data Visualisation High volumes of data/events IT Systems In the era of a Smarter Planet, open source, inter-operability and standards are essential 1999 Invented by Dr. Andy Stanford-Clark (IBM), Arlen Nipper (now Cirrus Link Solutions) 2011 - Eclipse PAHO MQTT open source project 2004 MQTT.org open community 2013 – MQTT Technical Committee formed Cimetrics, Cisco, Eclipse, dc- Square, Eurotech, IBM, INETCO Landis & Gyr, LSI, Kaazing, M2Mi, Red Hat, Solace, Telit Comms, Software AG, TIBCO, WSO2 Evolution of an open technology MQTT - Open Connectivity for Mobile, M2M and IoT
- 19. © 2015 InternationalBusiness Machines Corporation 19@CattoirEric Node-RED Program using a visual wiring paradigm but with the ability to program in JavaScript if needed http://nodered.org/
- 20. © 2015 InternationalBusiness Machines Corporation 20@CattoirEric IBM Long Range Signaling and Control
- 21. © 2015 InternationalBusiness Machines Corporation 21@CattoirEric Internet of Things Foundation IoT Foundation Registration, Connectivity, Messaging, Historian IoT Foundation Registration, Connectivity, Messaging, Historian https://internetofthings.ibmcloud.com/
- 22. © 2015 InternationalBusiness Machines Corporation 22@CattoirEric Run Your Apps The developer can chose any language runtime or bring their own. Just upload your code and go. DevOps Development, monitoring, deployment and logging tools allow the developer to run the entire application APIs and Services A catalog of open source, IBM and third party APIs services allow a developer to stitch together an application in minutes. Cloud Integration Build hybrid environments. Connect to on- premises systems of record plus other public and private clouds. Expose your own APIs to your developers. Built on IBM SoftLayer Runs automatically on top of IBM’s leading infrastructure as a service. No need to worry about provisioning or managing infrastructure. http://www.bluemix.net/ The IoT Foundation is part of our broader cloud platform: Bluemix
- 23. © 2015 InternationalBusiness Machines Corporation 23@CattoirEric Gateway(s) IoT Gateways: High speed data capture local analytics, replication, security & privacy, backup “Edge Devices”, Sensors: Rapid on-boarding of devices Simple registration of connected things Historian & Operational Analytics Historian & Operational Analytics Devices and Sensors IoT Cloud: Millions of gateways …. … connecting billions of devices Analytics, billing, data recovery, security and alerts, etc. PureData Hadoop Deep Analytics & Sensor Analytics Real Time Analytics: InfoSphere Streams Real Time Analytics: InfoSphere Streams Big Insights SPSS Cognos MessageSight Make the most of your IoT Data
- 24. © 2015 InternationalBusiness Machines Corporation 24@CattoirEric Integration: Big Data & Analytics Offering Watson FoundationsWatson Foundations Information Integration & Governance INFORMATION SERVER, MDM, G2, GUARDIUM, OPTIM Exploration, landing and archive Trusted data Reporting & interactive analysis Deep analytics & modeling Data types Real-time processing & analytics STREAMS, DATA REPLICATION Transaction & application data Machine and sensor data Enterprise content Social data Image and video Third-party data Operational systems BIGINSIGHTS PUREDATA HADOOP DB2, INFORMIX PUREDATA TRANS- ACTIONS PUREDATA ANALYTICS DB2 BLU PUREDATA ANALYTICS DB2 WAREHOUSE PUREDATA OPERATIONAL ANALYTICS Actionable insight Decision management Predictive analytics & modeling Reporting, analysis, content analytics Discovery and exploration SPSS MODELER COGNOS BI COGNOS TM1 DATA EXPLORER SPSS MODELER GOLD
- 25. © 2015 InternationalBusiness Machines Corporation 25@CattoirEric System design System requirements Customer requirements Systems engineering System verification and validation System test Quality managementAnalysis, design and prototypingRequirements management Data & Analysis, Planning, Task & Change Management Integration andValidation Decomposition andDefinition Process & Data Mgmt. Managing the Systems Lifecycle from concept to implementation (and beyond)
- 26. © 2015 InternationalBusiness Machines Corporation 26@CattoirEric Devops DevOps Foundation Open Lifecycle and Service Management Integration Platform DevOps Lifecycle Operations/ProductionDevelopment/TestCustomers Business Owners Continuous Innovation, Feedback and Improvements Ecosystem BestPractices Monitor and Optimize Plan and Measure Develop and Test Release and Deploy
- 27. 27 Agenda Introduction Internet of ThingsViewpoint IBM Solutions Summary
- 28. © 2015 InternationalBusiness Machines Corporation 28@CattoirEric Industry Solutions Design & Engineer Operate Manage Analyze & Optimize Connect, Collect, & Command Secure Devices, Gateways, & Assets Protocols Both Business Model and Technology needs evolution +
- 29. © 2015 InternationalBusiness Machines Corporation 29@CattoirEric References • IBM IOT on Twitter – Twitter: @IBMIoT – Twitter: twitter.com/IBMIoT – Tumblr: ibminternetofthings.tumblr.com • Node Red – http://nodered.org/ • Internet of Things Foundation – https://internetofthings.ibmcloud.com • Bluemix – http://www.bluemix.net • IBM Developerworks – http://www.ibm.com/developerworks/ • MQTT – http://mqtt.org/ • IBM Long Range Signaling Control – http://www.research.ibm.com/labs/zurich/ic s/lrsc/ • IBM Institute for Business Value study – Device Democracy – Saving the future of the Internet of Things – http://ibm.co/1rMQj2I • Continuous Engineering – http://www.ibm.com/ibm/continuousengineering/us/e • IBM Research – http://www.research.ibm.com/ • IBM Academy of Technology – www.ibm.com/ibm/academy/
Editor's Notes
- #9 Businesses who can establish software delivery as their core competency will be able to exploit the emerging technology trends Unprecedented demands from cloud, mobile and social, and big data and analytics, instrumented products etc. are causing significant changes in how companies deliver software, requiring new levels of collaboration and innovation. Business as usual in IT is not going to survive. Traditional software delivery methods evolved over the years across many IT industries now pose a bigger risk tan ever, resulting in loss of competitive advantage where business survival can be at stake. TRANSITION: And majority are still taking the traditional approach when it comes to software delivery Next slide….
- #15 Now, from a technology standpoint, one of the problems with the IoT today is that many, many discussions are confined to a limited aspect of the IoT. Based on our long experience with IoT projects, we’ve created a logical reference model to ensure that the we have an overall context for the detailed discussion. At the bottom, we have the connectivity to the devices – very important, and we could spend hours talking about the challenges there, but the collection, normalization, and storage of sensor / device data is just the first step. [Note, we distinguish between sensors and devices since most devices have multiple sensors] To unlock the true value of IoT, this data needs to be analyzed and optimized. We have a later chart that will go into more detail on analytics. [Need to put more here] When we think about the IoT Lifecycle, we can think of three processes that operate continuously over time. [The analogy here is to the former “Build, Run, Manage” division we have used for IBM Software in the past] Design and Engineer – the Continuous Engineering done by both Inventors of Things and Operators of Things Operate – the core function of the devices to provide value. These people have job titles like Manufacturing or Operations. IBM is NOT trying to replace these functions, but rather to use some of the data generated by them to provide value in the IoT. Manage – using data to do predictive analytics and maintenance Of course all of this is worthless unless it is secure. Security is both a vertical thought (how do we authenticate the device that is providing data? How do we know that the data has not been spoofed during transmission?) and a horizontal thought (why is it that all other devices in this class are sending data to one place, but this particular device is sending data somewhere else? Why has it sent data here for the last month, but suddenly started sending data to a different place?). [Need to add the general Security framework to the backup section in a future version] Finally, while this is a fine logical architecture, and we think it accomplishes its goal of ensuring that conversations cover all the key areas, IoT is not a technology in itself – it needs to be put in an industry context and language. However, too often we dive into a particular use case in a particular industry and lose sight of the importance of the horizontal data relationships and the advantage of leveraging technology across use cases. In our experience, we have not yet met a customer with only one use case.
- #24 Connect – Easily Register and connect “things” through a UI or APIs Collect – Collect and manage a time series view of data from “things” Assemble – Visually assemble events from things into logic flows Manage – Manage “thing” connections and subscriptions Build – Create applications that directly interact with connected “things”
- #25 Streams does not work in a vacuum. It is part of a next generation architecture for delivering information and insights.
- #26 KEY POINTS: It’s not sufficient to have separate collaborative environments for requirements, design and test. They need to be connected for traceability and workflow, supported with planning and task management and integrated into a change management process. Narrative: Simply stated, the discipline of Systems Engineering is translating a project’s requirements into a proven, working design. But it is never really that simple. [CLICK] First, the requirements need to completely and accurately addressed. This includes things like customer needs, product specifications, industry regulations and standards, pricing objectives, legal considerations, and much more. The product will fail if it does not meet the consumers’ expectations, or falls short in any way. This means that the requirements must be organized and traced throughout the project. [CLICK] Then, the requirements need to be translated into a working design. And the requirements will grow and change during the design phase, so a direct connection needs to be maintained to keep the requirements current. [CLICK] To ensure project success, each element of the requirements and design needs to be proven as they are created. This speeds development by ensuring that each project element is being built with tested and proven components. Rational helps its clients achieve the goal of “design-in quality”, as opposed to the less desirable “test-in quality”, by helping them adhere to strict validation and verification at each step of development. But it’s not sufficient for requirements, design and test to operate in isolation. They must be part of a consistent and iterative workflow to create the visibility, collaboration and traceability you need for successful systems engineering [CLICK]. Throughout the project, the development team should have full access to engineering data for analysis and reuse, task management, and to plan and track progress. And with the inevitability of changes to the project, you’ll need a change management capability that supports a review and approval process integrated fully into the workflow. [NEXT SLIDE]
- #27 Growing into a devops solution requires you to improve in various domains. At IBM we have developed a devops maturity model based on 4 large capability groups. This can be used to measure where you stand today and then use this to grow.