INTERNATIONAL BUSINESS MACHINES CORPORATION (20240236011). TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE simplified abstract
Contents
- 1 TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Tunnel Aggregation Optimization
- 1.13 Original Abstract Submitted
TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Pravein Govindan Kannan of Bangalore (IN)
Palanivel Andiappan Kodeswaran of Bangalore (IN)
SAYANDEEP Sen of Bangalore (IN)
TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240236011 titled 'TUNNEL AGGREGATION BASED OPTIMIZATION IN A MULTI-CLOUD ARCHITECTURE
Simplified Explanation
The patent application relates to optimizing tunnel aggregation in a multi-cloud architecture by combining packets with a predefined traffic class into aggregated packets for more efficient transmission over a communication network.
- The optimization involves receiving packets for transmission and identifying those with a specific traffic class.
- These packets are then grouped together into aggregated packets with a shared header.
- The aggregated packets are then sent over the communication network for improved efficiency.
Key Features and Innovation
- Tunnel aggregation optimization in a multi-cloud environment.
- Combining packets with predefined traffic classes into aggregated packets.
- Enhanced transmission efficiency over communication networks.
Potential Applications
This technology can be applied in various industries such as telecommunications, cloud computing, and network optimization.
Problems Solved
- Improved packet transmission efficiency.
- Streamlined communication network traffic.
- Enhanced performance in multi-cloud architectures.
Benefits
- Faster data transmission.
- Reduced network congestion.
- Improved overall network performance.
Commercial Applications
Optimizing tunnel aggregation in multi-cloud architectures can benefit cloud service providers, network operators, and businesses requiring efficient data transmission across multiple cloud environments.
Prior Art
Readers can explore prior research on tunnel aggregation optimization in cloud computing and network traffic management to gain a deeper understanding of the technology.
Frequently Updated Research
Stay informed about the latest advancements in tunnel aggregation optimization in multi-cloud architectures by following relevant research publications and industry conferences.
Questions about Tunnel Aggregation Optimization
How does tunnel aggregation optimization impact network performance?
Tunnel aggregation optimization improves network performance by reducing congestion and enhancing data transmission efficiency.
What are the potential challenges of implementing tunnel aggregation optimization in multi-cloud architectures?
Implementing tunnel aggregation optimization in multi-cloud architectures may face challenges related to compatibility with existing systems, scalability, and security considerations.
Original Abstract Submitted
embodiments are related to providing tunnel aggregation based optimization in a multi-cloud architecture. the optimization includes receiving packets to be sent over a communication network and determining the packets that have a predefined traffic class. the optimization includes combining the packets having the predefined traffic class into an aggregated packet, the aggregated packet including an aggregated packet header. the optimization includes transmitting the aggregated packet over the communication network.