The IoT will likely see billions of sensors distributed in common devices from domestic thermostats to industrial machinery, all transmitting data.
Gartner says 6.4 billion connected "things" will be in use in 2016, which is making companies think hard about how they will manage and communicate with so many widely distributed devices.
But not all of that data needs to always be sent to the enterprise datacenter: by performing some of the management and analytics out in the network companies can get access to data faster and reduce the amount of costly data traffic as well.
The latest company to tackle this is Hewlett Packard Enterprise (HPE), which says its new Edgeline IoT Systems are designed to sit at the network edge, allowing companies to aggregate and analyze data and control devices and 'things'.
The first new HPE Edgeline IoT Systems are available now, including the HPE IoT System EL10 -- an edge gateway designed for entry-level deployments - and the HPE IoT System EL20, which comes with additional features for higher compute capabilities and is designed for more demanding high volume deployments.
The devices come in ruggedized, mobile and rack-mounted versions and are aimed at industrial, logistics, transportation, healthcare, government and retail applications. They have been certified to work with Microsoft Azure IoT Suite.
HPE said future Edgeline products will incorporate HPE's Moonshot system architecture which uses less energy and space than typical servers - handy for IoT deployments.
In related news Aruba - part of HPE - unveiled its cloud-based beacon management system for multivendor wi-fi networks. The sensors combine a small wi-fi client and Bluetooth Low Energy radio to remotely monitor and manage Aruba Beacons across existing multivendor wi-fi networks from a central location using the Meridian cloud service.
HPE said the sensors can allow companies to introduce location-based services, using Aruba Beacons and Sensors at the edge, and the Meridian cloud service to interface with business and analytics applications.