The world of IT changes very quickly, and you need to be paying attention to the changes or risk falling behind. One of the new impactful trends you will be hearing more and more about is “edge computing.”
Edge computing is a way to streamline the flow of traffic from IoT devices and provide real-time local data analysis. It allows data that is produced by internet of things devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
What Gartner Has to Say
Industry analyst firm Gartner says that edge computing solutions can take on many forms. For example, they could be mobile in a vehicle or a smart phone. They could also be static like in a building management solution, off-shore oil rig or a manufacturing plant. Edge computing solutions could even be a combination of both mobile and static solutions, such as in hospitals. “A wearable health monitor is an example of a basic edge solution. It can locally analyze data like heart rate or sleep patterns and also provide recommendations without a frequent need to connect to the cloud,” says Santhosh Rao, principal research analyst at Gartner.
5 Reasons Why Edge Computing Is Growing So Fast
IDC predicts that by 2020, the spend on edge infrastructure will reach up to 19% of the total IoT infrastructure. There are many reasons for this growth and the storing and processing of data locally on a device:
- Privacy and security: If you work with sensitive personal data that is not needed centrally or on the cloud, it is easier to keep the data secure by storing it where it belongs. It can also ease General Data Protection Regulation compliance.
- Latency and speed: If data is being stored and processed in a local database, computing can be done in real-time instead of having to communicate back and forth with the cloud for every interaction.
- Offline-capability: The more you compute on the edge, the more your app is independent from a constant network connection.
- Costs: Because you only store the data that is needed centrally or the data you really want to backup, your cloud costs will go down.
- Resourcefulness: Storing and processing data on the edge and only sending out to the cloud what will be used and useful saves bandwidth and server space
Arrow is teaming up with technology leaders around the world to expand new edge computing capabilities and provide partners with the latest edge solutions. If you would like additional information about edge computing, reach out to us!
Last modified: April 2, 2019