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HP Enterprise Launches Converged IoT Systems for Edge Analytics
Posted June 13, 2016
HP Enterprise Launches Converged IoT Systems for Edge Analytics
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By Jef Cozza. Updated June 13, 2016 10:53AM

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Hewlett Packard Enterprise (HPE) is releasing two new platforms for the Internet of Things (IoT) that it said represent the industry’s first converged IoT systems. The systems, called Edgeline EL1000 and Edgeline EL4000, combine data capture, control, compute, and storage capabilities for heavy-duty enterprise Relevant Products/Services analytics tasks taking place at the edge of the network.

The company said the new Edgeline EL1000 (pictured above) and Edgeline EL4000 converged systems target enterprise clients deploying IoT devices in remote environments, also known as the “edge of the network." While the recent proliferation of IoT devices has made it increasingly possible for companies to gather massive amounts of data from remote locations in the field, retrieving that information and performing intensive analytics on it has been challenging.

Growing Need for Edge Analytics

Some companies, such as those in the oil and gas, manufacturing, and telecommunications industries face particular challenges when it comes to harnessing big data in remote environments, HPE said. “Until now, the remote data would have to be transported to a data center or cloud for analysis, which can be a slow, risky and inefficient process,” the company said in a statement.

The two new systems are aimed at enabling organizations to harness their data onsite by delivering real-time analytics and machine learning at the point of data collection.

“Organizations that take advantage of the vast amount of data and run deep analytics at the edge can become digital disrupters within their industries,” said Tom Bradicich, vice president and general manager, Servers and IoT Systems, Hewlett Packard Enterprise, in the statement. “HPE has built machine learning and real-time analytics into its IoT platforms, and provides services that help customers understand how data can best be leveraged, enabling them to optimize maintenance management, improve operations efficiency and ultimately, drive significant cost savings.”

Hardened Environments

The two Edgeline systems are designed to integrate compute, storage, data capture, control, and enterprise-class systems and device management capabilities and are built to thrive in hardened environments and handle shock, vibration, and extreme temperatures, the company said. Both are optimized to deliver heavy-duty data analytics and insights, graphically intense data visualization, and real-time response at the edge.

In addition, the company announced that its recently launched Vertica Analytics Platform will run on the Edgeline EL4000, delivering historical predictive analytic insights from in-database machine learning algorithms across a range of IoT analytic use cases.

The two systems will also support Aruba’s Virtual Intranet Access VPN client to more easily secure data on its way back to the data center, and is available for both commercial and high-security government IoT applications.

Tools to support big data analytics capabilities at the network’s edge are becoming increasingly important in enterprise IT, thanks to the explosion of IoT devices. Earlier this month, Cisco partnered with IBM to install the Watson IoT AI technology on its edge network servers.

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