Amadeus IT Group has been granted a patent for a method that optimizes the topology of geographically distributed systems. The method involves assessing resource usage of initial and additional topologies, enabling the relocation of data and applications to more efficient locations based on projected resource usage. GlobalData’s report on Amadeus IT Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Amadeus IT Group, was a key innovation area identified from patents. Amadeus IT Group's grant share as of June 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Resource optimization in geographically distributed systems
The patent US12041121B2 outlines a method and device for optimizing resource usage in a geographically distributed system. The method involves determining the resource usage of an initial topology, which includes data stored at specific locations and applications that utilize this data. It further entails projecting the resource usage for various additional topologies, which are defined by different locations for the data and applications. If an additional topology shows a projected resource usage lower than that of the initial topology, the system can control the movement of data and applications to the new locations. This process includes estimating resource usage, migration costs, and latency, while also considering constraints such as latency rules and location-specific regulations.
Additionally, the device associated with this patent is equipped with a communication interface and a controller that performs the aforementioned functions. It can provide recommendations for additional topologies and execute data movement upon acceptance of these recommendations. The controller is designed to determine the minimum resource usage among the topologies and can utilize optimization algorithms to select the most efficient topology. The projected resource usage is assessed with respect to cost, and the resource usage engine manages data requests between initial locations. This innovative approach aims to enhance the efficiency of resource allocation in distributed systems, potentially leading to cost savings and improved performance.
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