In our previous volumes on edge computing (one, two, three, four and five), we discovered how edge computing relates to the Internet of Things (IoT) and how it can help to minimize infrastructure demands in a data center. We also discussed how mobile edge computing can help in achieving greater efficiencies as well as to optimize privacy and security. This volume will discuss the distributed data approach in relation to edge computing!
As previously mentioned, edge computing is driven by mobile computing and the increasing number of networked devices in the Internet of Things (IoT). IoT is the inter-networking of physical devices, vehicles (also referred to as “connected devices” and “smart devices”), buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.
Distributed Data Approach
With the demand for data increasing, the frequency of edge computing is growing as well. Some are using a distributed data approach as a way to manage the data that results from edge computing.
This distributed data approach involves spreading collections of data over multiple locations. This can be on organized network servers or decentralized independent computers on various networks. This is an approach that can be tailored to fit any data center or client’s needs and is very flexible.
By spreading this data out across different locations, performance on end-user devices that use edge computing may be improved or sped up. The tasks being performed on such devices are now being processed in many places, instead of just one. While this is the main advantage, there are other benefits that make the distributed data approach popular, including:
- Increased reliability and availability
- Lower costs
- Protection of valuable data
- Greater performance and shorter processing time
- Continuous operation, even if something goes offline
For more information on edge computing, how it is being used and how it may benefit you, please contact our team today.