Deutsche Telekom has patented a system and method for managing traffic to software applications by distributing client operations based on consumer identification and executing them synchronously. The system intelligently distributes operations to asynchronous queues based on even or odd consumer identification numbers, ensuring timely execution. GlobalData’s report on Deutsche Telekom 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 Deutsche Telekom, Payment actuated vending was a key innovation area identified from patents. Deutsche Telekom's grant share as of April 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Asynchronous distribution of operations requiring synchronous execution
A recently granted patent (Publication Number: US11966744B2) discloses a system for asynchronous distribution of operations that require synchronous execution. The system includes a processor and memory storing instructions that receive client operations from multiple client computing systems. These operations are then distributed based on the consumer identification, with even-numbered identifications going to one asynchronous queue and odd-numbered identifications to another. The first client operation is executed based on the consumer identification, with timestamps ensuring the order of execution.
Furthermore, the system includes instructions to determine consumer identification, inspect HTTP headers and payloads, and send notifications to client computing systems upon receipt and execution of operations. The method and computer-readable medium versions of the system also provide detailed steps for asynchronous distribution, execution, and notification processes. The patent aims to streamline the execution of operations by efficiently managing the distribution based on consumer identification and timestamps, ensuring synchronous execution of asynchronous operations for improved system performance and reliability.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
