Electronic design automation software supplier Mentor Graphics has been building out its embedded multicore capabilities for industrial automation over the past year with a goal of enabling connected systems. The framework, built on top of Linux and the company\u2019s Nucleus real-time operating system (RTOS), includes scalability and security for the Internet of Things (IoT). The next step is to provide integration with the cloud.<\/p>\n
Next month at Embedded World, the company will offer a demonstration of its embedded platforms integrated with Microsoft Azure. Using Microsoft Azure device and gateway software development kits (SDKs), Mentor Graphics will enable a direct connection between a smart device and the Microsoft Azure IoT Hub. This will enable customers who license Azure from Microsoft to benefit from a solution that is pre-integrated with Mentor\u2019s embedded development platforms.<\/p>\n
\u201cI\u2019ve talked to a lot of customers building devices and the discussion now is how to build a device as part of an IoT strategy,\u201d said Warren Kurisu, director of product management, runtime solutions at Mentor Graphics\u2019 embedded systems division. “This is a significant shift from the days when the discussion was just about an operating system and a board support package for a single device.\u201d<\/p>\n
Customers don\u2019t always have the engineering resources required to enable device-to-cloud integration. Now they can use the Mentor Graphics pre-integrated and tested technology to focus their limited resources on building differentiated products and not on basic enablement.<\/p>\n
\u201cThis mitigates risk and increases productivity,\u201d Kurisu said. \u201cAnd, since we understand embedded systems at the lowest levels, we can augment the customer\u2019s data with deeply-embedded information, whether it is alarms, events or raw data, for use in analytics and business intelligence.\u201d<\/p>\n
Customers are becoming more interested in what\u2019s happening with the device hardware and software\u2014such as system memory or CPU availability, for example\u2014in order to predict a system failure. To that end, a threshold for CPU utilization, memory, temperature, etc., could be set to send an alarm up to the cloud with a message for the operational systems. Or, if a system crashes, a core dump of device data could be sent to the cloud for analysis.<\/p>\n
In the bigger picture, with the announcement that Siemens will complete the acquisition of Mentor Graphics early this year, the device-to-cloud offering could play directly into the Siemens cloud strategy.<\/p>\n","protected":false},"excerpt":{"rendered":"
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