20240045730. DISTRIBUTED EDGE COMPUTING SYSTEM AND METHOD simplified abstract (Rakuten Mobile, Inc.)

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DISTRIBUTED EDGE COMPUTING SYSTEM AND METHOD

Organization Name

Rakuten Mobile, Inc.

Inventor(s)

Hiren Joshi of Tokyo (JP)

DISTRIBUTED EDGE COMPUTING SYSTEM AND METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240045730 titled 'DISTRIBUTED EDGE COMPUTING SYSTEM AND METHOD

Simplified Explanation

The abstract of this patent application describes a method for distributed edge computing (DEC). Here is a simplified explanation of the abstract:

  • The method involves obtaining a request from a computational resource provider (CRP) that offers computational resources.
  • The computational resources of the CRP are validated.
  • The computation resources of the CRP are offered to a computational resource consumer (CRC).
  • A reservation request for a portion of the computation resources of the CRP is obtained from the CRC.
  • CRC software is installed on the CRP for DEC.
  • The CRP is configured to receive produced data related to the CRC software from a first localized device.
  • The computational resources process the produced data.
  • The processed data is forwarded to a second localized device that has requested the processed data.

Potential applications of this technology:

  • Edge computing: This method enables distributed edge computing, where computational resources are provided by a CRP and utilized by a CRC. This can be useful in scenarios where data processing needs to be done closer to the source of data, reducing latency and improving efficiency.

Problems solved by this technology:

  • Resource utilization: The method allows for efficient utilization of computational resources by offering them to CRCs based on their reservation requests. This helps in optimizing resource allocation and reducing wastage.

Benefits of this technology:

  • Reduced latency: By processing data at the edge, closer to the source, this method reduces the time taken for data processing and analysis. This can be beneficial in applications where real-time or near real-time processing is required.
  • Improved efficiency: By utilizing computational resources from CRPs, CRCs can offload their processing needs and improve their own efficiency. This can be particularly useful for resource-constrained devices or applications.
  • Scalability: The method allows for scalability by leveraging the computational resources of CRPs. As the demand for processing power increases, more CRPs can be added to the system to meet the requirements.


Original Abstract Submitted

a method for distributed edge computing (dec) includes obtaining a request from a computational resource provider (crp) offering computational resources of the crp; validating the computation resources of the crp; offering the computation resources of the crp to a computational resource consumer (crc); obtaining a reservation request from the crc for a portion of the computation resources of the crp; and installing crc software on the crp for dec, where the crp is configured to receive produced data related to the crc software from a first localized device, the computational resources process the produced data, and forward processed data to a second localized device that has requested the processed data.

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