Acronis International has been granted a patent for a method that optimizes program operations on cloud-based services. The method involves receiving user constraints, determining sub-operations, assessing service components, and utilizing a machine learning algorithm to select the best service combination for execution while meeting specified constraints. GlobalData’s report on Acronis International 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 Acronis International, Hybrid cloud mgmt was a key innovation area identified from patents. Acronis International's grant share as of June 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Scheduling program operations on cloud-based services using machine learning
The patent US12033002B2 outlines a method and system for scheduling program operations on cloud-based services, focusing on optimizing execution based on user constraints such as deadlines and budgets. The method begins with receiving a request for a program operation along with user-defined constraints. It involves breaking down the operation into sub-operations and identifying various service component combinations that can execute these tasks. The system queries the status of each service component to assess their processing capabilities, including maximum speed, memory, and network bandwidth. A machine learning algorithm is employed to select the most suitable service component combination that meets the user constraints while considering any processing limitations.
Additionally, the patent details how the method can adapt to financial constraints by retrieving pricing models to evaluate costs associated with each service component combination. The algorithm assigns scores based on the likelihood of meeting budgetary requirements. If certain service components are unavailable, the system can estimate their availability and create a schedule to ensure the program operation is executed within the specified constraints. If the schedule fails to meet the user constraints, an error message is generated. This comprehensive approach aims to enhance the efficiency and reliability of cloud-based service operations by leveraging machine learning and real-time status assessments.
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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.
