By 2020, IoT connected devices are estimated to grow to 30 Billion units worldwide. With the increase in the number of connected devices, an estimate of more than 500 Zettabytes of data will get generated per year. This explosion of data presents a huge opportunity for companies to derive actionable business insights using data analytics. However, the majority of the data generated by IoT devices has, so far, been processed in the cloud.
Shift From Cloud to Edge
Moving forward, some applications such as autonomous vehicles, industrial machinery and home automation need real-time analysis, remote management of assets and ongoing operations even in intermittent connectivity. This leads to an increasing need for real-time collection, processing and analysis of data at the device or gateway level i.e. closer to the edge. Edge computing and analytics, emulates the public cloud capabilities by bringing intelligence closer to the devices but with a smaller and more agile footprint.
The Why’s of Edge Computing
Edge Computing Takes Center Stage
Many leading cloud and analytics companies such as Amazon, Microsoft, PTC Thingworx, GE, HP Enterprise, IBM, and others provide IoT solutions and products. However, there is a rising trend among these companies to integrate edge analytics capabilities as part of their IoT platform.
Amazon and Microsoft are primarily offering software and services for edge computing, which tightly integrates with their existing cloud data storage and analytics platform. Amazon’s edge offering - Amazon Greengrass, launched in June 2017, extends AWS cloud capabilities to devices for local processing and analysis of data. Microsoft launched its edge platform almost a year after Greengrass, however, Azure IoT Edge is a more comprehensive and intelligent IoT edge solution.
In May, at IoT World 2018 USA, we surveyed more than 50 key IoT stakeholders from components to cloud. According to the survey results, developing “Edge Computing” capability within their IoT offerings is the key IoT focus area for these companies.
As more devices utilize edge computing, these devices are also prone to attacks and sensitive data can be compromised. Taking this into account, Microsoft launched Azure Sphere, which also allows Microsoft to penetrate the microcontroller market by integrating Azure IoT at the component/devices level. This allows Microsoft to enable hardware level security along side cloud level security.
Microsoft Azure Sphere
Microsoft announced Azure Sphere, a solution for creating secured, connected microcontroller (MCUs) devices, which will be able to provide holistic security for an IoT edge implementation. This is an important step from Microsoft to drive chip to cloud connectivity and security, which will extend its reach across the entire value chain.
Azure Sphere includes three components that work together for network and devices security
Microcontrollers (MCUs)
Operating System (OS)
Security Service
Azure Sphere Benefits
Integration of Azure Sphere at the chipset level will produce Azure IoT – ready devices. This has various benefits such as:
Partners Ecosystem
Microsoft has been building an ecosystem of partners with various OEMs and component/device manufacturers in order to deliver Azure Sphere certified chips and devices.
In addition, Microsoft will be licensing the security technologies royalty-free, so chip manufacturers can build Azure Sphere chips at affordable costs. Microsoft has announced the availability of their first chip - MediaTek MT3620 in volume by the end of 2018. However, Microsoft will have to work with partners across the value chain to drive adoption of Azure Sphere so the devices are shipped with Azure Sphere.
Amazon launched Amazon FreeRTOS in Nov 2017, a microcontroller operating system that can run on a low power connected device and can securely connect to the cloud or other edge devices. Microsoft Azure Sphere offers similar functionalities, however, Microsoft is positioning Azure Sphere with emphasis on end-to-end security and faster time-to-market.