In volumes one, two and three on edge computing, we discovered what edge computing is, how it relates to the Internet of Things and how it can help to minimize infrastructure demands in a data center. In this article, we will explore mobile edge computing and how to achieve greater efficiencies using it.
How it Works
Mobile edge computing is the concept of enabling cloud computing capabilities at the edge of the cellular network. This means that tasks performed on cellular devices will have data processed closer to the end user that way it doesn’t require being sent back to the cloud first. This is the same concept behind edge computing, but implemented specifically for cellular networks and devices.
The biggest benefit of mobile edge computing is reducing the congestion of core mobile networks. Mobile data is being created in increasing amounts every day and the problem is that much of that data isn’t actually needed to answer data analysis queries. By using the mobile edge and analytics, data centers are able to understand and process their data more efficiently. This means that these networks become more efficient and experience less latency as the amount of data passing through is reduced.
Mobile edge computing also provides a way for data to be processed locally instead of through the cloud. This helps to provide near real time data analysis, which is now expected by many consumers and helps to provide a better user experience. By processing data at the mobile edge, this can relieve operations and data management expenses as less data needs to be stored and moved back and forth from the cloud.
More mobile operations are making the move to edge computing as the benefits are too good to ignore. Here are some of the top benefits of mobile edge computing:
- Real-time data analysis at the local level, eliminating travel time to and from the cloud.
- Lower operating costs due to smaller data management expenses.
- Reduced network traffic from local devices via a network to a data center or cloud, decreasing network latency.
- Reduced data traffic as a result of data processing analytics.
- Improved application performance as apps experience less latency.
For more information on mobile edge computing, how it is being used and how it may benefit you, please contact our team today.