Edge Computing

An alternative to cloud based storage is edge computing, which allows IoT apps to operate regardless of the Internet connection and work as a standalone network node. 

The idea behind it is that the collected data from an IoT application are sent to the local IoT device or the edge of the network, where it is sorted and filtered and then is partly forwarded to the cloud, reducing, therefore, traffic to the network.

Advantages

The most substantial advantages of Edge Computing

Scalability

Applying edge computing allows to scale IoT network on demand, without reference to available storage, so users can scale their data and computing needs more efficiently.

Speed

As IoT edge computing processes collected data locally, the processed information does not need to be transferred as far as it uses cloud architecture. The result is higher speed for end users.

Reliability

IoT edge computing devices and edge data centers positioned closer to end users make it difficult for any single disruption to take down the network, which enhances IoT app reliability.

Some additional perks of Edge Computing:

1)    Enhanced data security

Another advantage of decentralizing IoT with edge computing is secured data. Placing valuable data on IoT edge devices can minimize data loss, making it prone to distributed denial of service (DDoS) attacks and power rages. In addition,  edge computing assists in meeting the General Data Protection Regulation (GDPR) compliance: the less sensitive information is sent through your network and stored in your cloud, the better.

2)    Reduced operational costs 

Analyzing data close to where it is collected offers huge benefits in terms of cost. When storing and processing data «at the edge», there is no need in the abundance of cloud storage. Additionally, unnecessary information can be identified, so that only relevant data are backed up. As a result, operational costs are significantly decreased.

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