OEM Solutions

Compute Power at the Edge for Real-Time Processing

You need a strategy to handle the inflow of information from sensors and monitors in the field and to guide decisions about where to locate the compute power, storage, and analytics engines essential to successful IoT implementations.

So where do your apps and services belong?

Some will inevitably reside in the cloud, but cloud infrastructures cannot efficiently handle the massive loads of data the IoT is expected to generate. Despite the cloud’s scalability, cost-effectiveness, and support for future architectures, latency issues can get in the way of the real-time processing necessary for IoT implementations. That won’t be happening at the core network either. The cloud is essential to relieve central IT of ever-increasing demands for data processing, analysis, and storage. Some other solution is needed between the core and cloud. And that’s where edge computing comes in.

Why Edge Computing Matters?

  • Edge allows placing compute power closer to the network edge. That is, where many of the IoT’s analytics and monitoring applications reside to enable real-time decision-making. 
  • Edge computing promises to play an essential role in the network of the future as it evolves to accommodate IoT needs. That network is hybrid combining cloud, edge, and central IT components, with applications residing in these distinct but integrated areas.
  • As in real estate, edge computing comes down to location. The closer you place processing and data, the more agile your organization becomes. Now you don’t have to wait for data to travel from the source for hundreds or thousands of miles to a cloud data center to be processed and redirected to a technician or analyst in front of a dashboard somewhere else.
  • Edge computing extends existing cloud services into the highly distributed mobile base station environment, so that road hazards can be recognized and warnings can be sent to nearby cars with extremely low latency, according to a Nokia blog
  • Edge computing has a place not only on regular roadways but also on the racetrack, where cars running at 140 mph can transmit sensor data to the pit crew. This scenario is already a reality in Formula E, where the DS Virgin Racing team uses the compute power of a trackside data center provided by Hewlett Packard Enterprise to optimize car performance.
  • Edge computing is going to make a difference in the healthcare industry as well. The healthcare providers increasingly rely on connected devices that deliver vital information to applications monitored by medical personnel.


On the edge: Lessons for leaders

  • It is critical to understand how data is generated and consumed via your enterprise infrastructure.
  • The correct balance of edge and central IT will enhance IT agility while retaining security and reliability.
  • Proper implementation will reduce OpEx for services and applications via lower networking costs, minimized latency, and more satisfied consumers.
  • Edge data centers will be essential to IoT adoption in hybrid environments where real-time decisions are paramount. However, cloud infrastructures will still provide essential scalability, flexibility, and storage for certain applications. The cloud can handle massive volumes of data for which no immediate action is required. Analysts mine that data to identify patterns that can be used for preventive maintenance and predictive purposes.


What to learn more about edge computing? Talk to OEM executives & experts at our upcoming event, Discover 2017 Las Vegas, June 5-8th. There’s still time to attend. Check out the agenda 2017 and register here!


Learn More

Visit the HPE OEM Program page on hpe.com 

The HPE OEM hpe.com page showcases the quality, experience, and pedigree of the HPE OEM program and why our customers are choosing HPE. Visit the new site today!

 Follow the HPE OEM Solutions Group on LinkedIn

Join in the conversation on LinkedIn


0 Kudos
About the Author