IoT = device + cloud. how to architect an iot solution slideshare
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This document discusses architecting an IoT solution and addresses common dilemmas. It introduces Guy Vinograd as the CEO of Softimize, an IoT platform provider. Softimize's TBBT platform offers services like push notifications, access control, security, billing and analytics to help vendors focus on their core business rather than developing their own cloud infrastructure. The document then outlines three common IoT design dilemmas around human-sensor interactions, sensor placement and maintenance, and determining the best locations for an IoT gateway, data and logic processing, and message formats.
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Creating an IoT Cloud service for a connected product presents a huge challenge. Why? Because the tasks of serving millions, responding to events in near real-time, securing the solution from ambitious IoT hackers, AND generating a monthly bill that doesn't collapse the business model, resemble attempts to solve Rubik's Cube, but are far more difficult. Commercial IoT platforms are irrelevant because of the vendor-lock, so we must use basic building blocks to accomplish all this. This session will illustrate the architecture of an IoT service on top of the AWS Cloud.
Blueprint for creating a Secure IoT Product
What is the right way to authenticate IoT devices? What is Security-First software design? What design patterns can comply as HIPAA? Those questions and more will be answered in my presentation.
Best practices for connecting medical devices to the cloud
This document discusses best practices for connecting medical devices to the cloud. It outlines the key components of a typical medical IoT solution including patients, doctors, nurses, administrators, medical devices, and backend platforms. It then discusses seven design dilemmas around where to place logic and data, choosing IoT gateways, connectivity options, defining message formats and protocols, handling offline scenarios, and determining the minimum viable product. The document recommends leveraging an existing IoT platform to avoid the long and expensive process of building all components from scratch, and argues that for medical device manufacturers, owning their own platform may be preferable to relying on a third party.
OK, I Need an IoT Service. Now What??
“In the current market, companies realize that the device itself is not enough. What’s more important is the service around it. Take Philips for example, and see how they managed to covert a basic light bulb business into a lucrative smart lighting experience.
The question is
1. How do we do it?
2. To choose from 300+ IoT platforms?
3. To do it by myself?
4. Where do the cloud providers take place?
All the answers – in the session.”
Internet of things
This document provides an overview of Internet of Things (IoT) and Industrial Internet of Things (IIoT). It discusses key concepts including sensors, gateways, connectivity protocols, cloud platforms, security, and applications. Specifically, it describes how sensors collect data and transmit it via protocols like MQTT and AMQP to gateways, which perform edge analytics and send data to the cloud for storage and processing using services like AWS IoT. The cloud platform then makes this data available to applications and end users.
Best practices for connecting medical devices to the cloud
1) The document discusses best practices for connecting medical devices to the cloud, including considerations around where to store data and logic, selecting an IoT gateway and connectivity, and protocols.
2) It presents common IoT design dilemmas such as balancing cloud storage vs offline needs and mitigating offline scenarios.
3) The TBBTM platform is introduced as an ownable medical IoT platform provided by Softimize that can help companies leverage common services and functionality to build their IoT solutions more quickly.
Touring the Dark Side of Internet: A Journey through IOT, TOR & Docker
With the advent of IOT, Every 'Thing' is getting Smart, starting from the range of smartwatches, smart refrigerators, smart bulbs to smart car, smart healthcare, smart agriculture, smart retail, smart city and what not, even smart planet. But why is every thing getting smart? People are trying to bridge the gap between Digital World & Physical World by means of ubiquitous connectivity to Internet, and when digital things become physical, digital threats also become physical threats. Security & Privacy issues are rising as never before. What if the microphone in your smart TV can be used to eavesdrop the private communications in your bed room? What if a smart driverless car deliberately crashes itself into an accident? What if you want to be Anonymous over Internet and don't want anybody to track you?
This talk will focus on answering the above questions with a view on 'What are we currently doing to protect ourselves' and 'What we need to do'. What are the new security challenges that are coming up and how privacy & anonymity is taking the lead over security. The talk will also sensitive the audience about the paradigm shift that is happening in IOT DevOps, with help of Docker Containers and how they can be anonymised using TOR.
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The Solution is a Properly Architected IoT Stack.
IoT from edge to cloud: bringing order to the chaos
The document discusses Internet of Things (IoT) concepts including hardware, connectivity, cloud services and applications. It provides examples of IoT use cases like tracking energy usage with connected devices and monitoring child car seats. It also describes common local and cloud communication methods for connecting IoT devices, such as Bluetooth, WiFi, NFC/RFID, Zigbee and cellular networks. Edge computing concepts are introduced for performing local data processing and analytics.
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DCEU 18: Edge Computing with Docker Enterprise
Marc Meunier - Director of Business Development, Docker
Adam Parco - Director of Engineering, Edge & IoT, Docker
The Internet of Things (IoT) is pushing more computing to the edge - where data from devices can be aggregated, filtered, and analyzed before it’s sent somewhere else. As edge devices become more powerful and capable of running sophisticated applications, the edge servers have to keep pace with development. The challenge for edge computing is that these servers and devices are distributed geographically across many sites and sometimes inaccessible. The Docker platform is designed for distributed computing and provides an easy way to securely distribute and run applications at the edge. In this session, we will outline some of the major trends around edge computing and the common architectures and use cases across different industries. We will highlight some of the work we’re doing with our customers to deliver on these edge use cases and where Docker is headed.
Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
Addressing the Complexity and Risk of M2M Projects by using essential Field-to-Cloud Technology Building Blocks for the Internet of Things
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--
What’s wrong with the current IoT architectures and why we should decentralise it? This talk will present the AGILE gateway, a new Open Source project that aims to build and deliver an open source (hardware & software) modular gateway for the Internet of Things. The gateway, based on open platforms, will target makers and entrepreneurs allowing to quickly prototype solutions for domains like home automation, quantifiedself, enironment monitoring and more. Managing devices, data and apps on the gateway can allow more secure and trusted Internet of Things.Internet of things - what is really happening
This document discusses the Internet of Things (IoT) market and key technologies. It attempts to map the IoT market across three axes: open vs closed ecosystems, instrumenting machines vs the physical world, and autonomous devices vs collaborative ecosystems. Some of the big players in IoT like Google, Microsoft, Amazon, GE and Cisco are mentioned. Key IoT components discussed include radios/communication, real-time analytics platforms, sensors, data collection, and actuators. Security, scaleability, and open standards are identified as important technologies for IoT. The document also briefly discusses what is happening in Norway's IoT market and opportunities in health, oil/gas, transportation, and other sectors.
edgecomputing-201203071131.pptx
Edge computing is computing that takes place at the edge of corporate networks, where end devices access the rest of the network. It allows devices like phones, laptops, sensors, and robots to analyze and process data locally, rather than sending all data to a central cloud. This provides benefits like faster response times, increased security and privacy since data isn't sent over wide areas, lower bandwidth usage and costs, and more reliable operations even with intermittent connectivity. Edge computing will be important for applications involving IoT, gaming, healthcare, smart cities, transportation, and enterprise security.
Edge computing
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Introduction to the AGILE project: open source modular gateway for the IoT (C...
This document introduces AGILE, an open source modular IoT gateway that aims to decentralize the IoT. It discusses issues with the current centralized IoT landscape and vendor-specific clouds. AGILE seeks to give users full control of their devices and data by providing a gateway that allows users to control devices, store and manage data, create and run apps, and share data while preserving ownership. The document outlines AGILE's objectives, features, ecosystem of developers, industry, and end users, and funding opportunities to support its open source goals.
Azure Digital Twins
Azure Digital Twins is a PaaS service to build IoT solution on the Azure platform focused on state and on a spatial intelligence graph to model the devices, the sensors and the environment around them.
In this session we talk aboutthe spatial graph and the pipeline the data follow from generation in the device to the processing.
Business Transformation with Microsoft Azure IoT
The document discusses how IoT and cloud services can enable business transformation. It defines IoT, provides examples of real-life IoT use cases, and explains why the cloud is well-suited for IoT solutions. It then outlines the key Azure IoT services, demonstrates an example IoT solution using sensors, Event Hubs and Stream Analytics, and highlights takeaways about how Azure IoT can be applied across industries.
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Best practices for connecting medical devices to the cloud
Best practices for connecting medical devices to the cloud
Best practices for connecting medical devices to the cloud
Best practices for connecting medical devices to the cloud
Touring the Dark Side of Internet: A Journey through IOT, TOR & Docker
Touring the Dark Side of Internet: A Journey through IOT, TOR & Docker
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in London
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IoT from edge to cloud: bringing order to the chaos
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Addressing the Complexity and Risks of M2M Projects - M2M World Congress Apri...
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SFScon15 - Charalampos Doukas: "Decentralising the IoT through adoptive Gatew...
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IoT = device + cloud. how to architect an iot solution slideshare
- 1. Guy Vinograd, CEO IoT = Device + Cloud How to architect an IoT Solution
- 2. Developing IoT for OEMs ◦ Cloud – Mobile – Web over TBB ◦ Device vendors - focus on your core Million-scale users, 100K+ devices Trusted advisor for IoT About Me and Softimize
- 3. Security Users/Devices Data Streaming Vendor Services Management TBBTM – The Best IoT Platform for Vendors Push notifications Access Control – laas, SaaS Vendor and cloud provider protection Billing & Payment Licensing – per Tenant. Trial license Site management – Multi device Complex event processing Real-time, sub second latency Users | Devices and hierarchies Encryption, Tenant isolation Back-office, Audit Analytics – Failures, Usage patterns Prediction – Churn, Upsell On Premise Cloud Abstraction Multi Cloud Abstraction Layers for managed services NO DevOps-hungry open sources Device Interaction MQTT, HTTP
- 5. Human-sensor interactions? How many sensors per location? Sensor maintainability? #1 – Where is my IoT Gateway
- 6. Cloud – the ideal ◦ Protects IP ◦ Data Privacy Raw signal = less risk ◦ Cheaper ◦ High availability/durability GW ("fog") – the reality ◦ Offline ◦ True real time ◦ Data BW is large #2 – Where is the Logic & Data?
- 7. Questions ◦ Message size/velocity ◦ NW environment ◦ Ability of device processing Encryption Too much? ◦ Value of each message? Value of the action taken ◦ Offline training of ML - identify the right metrics. (Mind the training period) #3 – What are the Messages?
- 8. Guy Vinograd, CEO guy@softimize.co Need IoT Cloud-Mobile-Web? Use