- Community Home
- >
- Partner Solutions and Certifications
- >
- OEM Solutions
- >
- Compute Power at the Edge for Real-Time Processing
Categories
Company
Local Language
Forums
Discussions
Forums
- Data Protection and Retention
- Entry Storage Systems
- Legacy
- Midrange and Enterprise Storage
- Storage Networking
- HPE Nimble Storage
Discussions
Discussions
Discussions
Forums
Forums
Discussions
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
- BladeSystem Infrastructure and Application Solutions
- Appliance Servers
- Alpha Servers
- BackOffice Products
- Internet Products
- HPE 9000 and HPE e3000 Servers
- Networking
- Netservers
- Secure OS Software for Linux
- Server Management (Insight Manager 7)
- Windows Server 2003
- Operating System - Tru64 Unix
- ProLiant Deployment and Provisioning
- Linux-Based Community / Regional
- Microsoft System Center Integration
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Community
Resources
Forums
Blogs
- Subscribe to RSS Feed
- Mark as New
- Mark as Read
- Bookmark
- Receive email notifications
- Printer Friendly Page
- Report Inappropriate Content
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 cloudโs 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 wonโt 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 thatโs 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 IoTโs 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 donโt 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. Thereโs 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
- Back to Blog
- Newer Article
- Older Article
- Niladri_Nayak on: AI's Impact on the Future of Work
- PrakashGohel33 on: How is technology redefining the future of the hea...
- Abhijit W on: Champion the Digital Era Along with our OEM Partne...
- subhashupux on: Discover 2018 Las Vegas: Download the Event App To...
- JillSweeneyTech on: Why and How of IoT for OEMs in the Food Industry
- Luis Albejante on: Take on New Opportunities with Hybrid IT and Get t...
- Con Kamaras on: Predictive Maintenance: A Paradigm Shift
- Mark Stanley on: Dell-EMC Deal Spells Risk and Uncertainty for OEMs