Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Free
Faster access than browser!
 

Inverse multiplexer and Link aggregation

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Inverse multiplexer and Link aggregation

Inverse multiplexer vs. Link aggregation

An inverse multiplexer (often abbreviated to inverse MUX or IMUX) allows a data stream to be broken into multiple lower data rate communication links. In computer networking, the term link aggregation applies to various methods of combining (aggregating) multiple network connections in parallel in order to increase throughput beyond what a single connection could sustain, and to provide redundancy in case one of the links should fail.

Similarities between Inverse multiplexer and Link aggregation

Inverse multiplexer and Link aggregation have 2 things in common (in Unionpedia): Link aggregation, Load balancing (computing).

Link aggregation

In computer networking, the term link aggregation applies to various methods of combining (aggregating) multiple network connections in parallel in order to increase throughput beyond what a single connection could sustain, and to provide redundancy in case one of the links should fail.

Inverse multiplexer and Link aggregation · Link aggregation and Link aggregation · See more »

Load balancing (computing)

In computing, load balancing improves the distribution of workloads across multiple computing resources, such as computers, a computer cluster, network links, central processing units, or disk drives.

Inverse multiplexer and Load balancing (computing) · Link aggregation and Load balancing (computing) · See more »

The list above answers the following questions

Inverse multiplexer and Link aggregation Comparison

Inverse multiplexer has 16 relations, while Link aggregation has 69. As they have in common 2, the Jaccard index is 2.35% = 2 / (16 + 69).

References

This article shows the relationship between Inverse multiplexer and Link aggregation. To access each article from which the information was extracted, please visit:

Hey! We are on Facebook now! »