View source for Nvidia corporation (20240137410). MULTICAST-REDUCTION ASSISTED BY NETWORK DEVICES simplified abstract

=MULTICAST-REDUCTION ASSISTED BY NETWORK DEVICES=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Glenn Dearth of Groton MA (US)|Glenn Dearth of Groton MA (US)]][[Category:Glenn Dearth of Groton MA (US)]]

[[:Category:Mark Hummel of Franklin MA (US)|Mark Hummel of Franklin MA (US)]][[Category:Mark Hummel of Franklin MA (US)]]

[[:Category:Nan Jiang of Sudbury MA (US)|Nan Jiang of Sudbury MA (US)]][[Category:Nan Jiang of Sudbury MA (US)]]

[[:Category:Gregory Thorson of Eau Claire WI (US)|Gregory Thorson of Eau Claire WI (US)]][[Category:Gregory Thorson of Eau Claire WI (US)]]

==MULTICAST-REDUCTION ASSISTED BY NETWORK DEVICES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240137410 titled 'MULTICAST-REDUCTION ASSISTED BY NETWORK DEVICES

==Simplified Explanation==

The patent application describes systems and techniques for performing multicast-reduction operations in a network environment. Here are some key points from the abstract:

* Network device receives first network data related to a multicast operation involving multiple endpoints.
* Device reserves resources to process second network data from the endpoints.
* First network data is sent to additional network devices.
* Device receives second network data and processes it using the reserved resources.

== Potential Applications ==
This technology could be applied in various industries such as telecommunications, video streaming, online gaming, and content distribution networks.

== Problems Solved ==
1. Efficiently managing multicast operations involving multiple endpoints.
2. Optimizing resource allocation for processing network data in a distributed environment.

== Benefits ==
1. Improved network performance and scalability.
2. Reduced network congestion and latency.
3. Enhanced reliability and fault tolerance in multicast operations.

== Potential Commercial Applications ==
Optimizing multicast operations in cloud computing services for improved data distribution.
SEO Optimized Title: "Commercial Applications of Multicast-Reduction Technology in Cloud Computing Services"

== Possible Prior Art ==
One possible prior art could be the use of multicast protocols in traditional network environments to distribute data to multiple endpoints efficiently.

== Unanswered Questions ==
=== How does this technology handle network security and data privacy concerns in multicast operations? ===
This article does not address the specific security measures implemented in the multicast-reduction operations described.

=== What impact does this technology have on network bandwidth utilization and cost savings for organizations? ===
The article does not provide details on the potential cost savings or bandwidth efficiency achieved through the implementation of this technology.


==Original Abstract Submitted==

systems and techniques for performing multicast-reduction operations. in at least one embodiment, a network device receives first network data associated with a multicast operation to be collectively performed by at least a plurality of endpoints. the network device reserves resources to process second network data to be received from the endpoints, and sends the first network data to a plurality of additional network devices. the network device receives the second network data, and processes the second network data using the reserved resources.



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