Internet of Things
The Rise of the
IoT Analytics Gateway
Analyzing and Acting at the Edge to Reduce Cloud Costs By Andy Rhodes, Executive Director, Commercial IoT Solutions, Dell
G
CAN bus DNP3 LAN
BACnet
Modbus ZigBee* SCADA
Enterprise-class security and manageability Global availability of services around design, development, integration and support
Figure 1.
Analytics gateways collect data and enable decisions at the edge in Dell's distributed architecture.
intel.com/embedded-innovator |
ateway devices at the edge are driving the growth of the Internet of Things (IoT) by connecting sensors and other data-producing objects to the cloud. Through Big Data analytics, this data enables new insights into operations and markets that can lead to dramatic gains in effi ciency and productivity, as well as new revenue-generating products and services. Yet despite the IoT’s tremendous potential for delivering these gains and improvements, the enormous amount of edge data is creating challenges.
This
Purpose-built gateways support virtually any connection protocol and environment.
Smarter data Control
Perform analytics and apply control at any tier (gateway, data center, cloud).
ERP CRM
Merge filtered sensor inputs with big data, rich ana- lytics, and services.
article explores the WWAN
importance of applica- tion-ready gateway solutions in providing the necessary input/output (I/O) options, operating systems, security, and reliability for connecting end points to a cloud or data center. We examine the ram- ifications of collecting so much edge data and discuss the potential role of edge analysis for reducing latency and data movement, storage, and analysis costs. We look at the analytics gateway, a new product that meets enterprise needs and enables near-real- time, data-driven decisions at the edge for improved system automation (Figure 1). We then present two use cases that demonstrate the utility and value of these new gateways.
Embedded Innovator | 13th Edition | 2016 | 25
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