Company Filing History:
Years Active: 2019-2022
Title: The Innovations of Anne Liret
Introduction
Anne Liret is a prominent inventor based in London, GB. She has made significant contributions to the field of computer science, particularly in the area of virtual machine scheduling. With a total of 2 patents, her work focuses on optimizing computing tasks and resource allocation.
Latest Patents
One of her latest patents is titled "Risk-aware virtual machine scheduling." This invention describes a computer-implemented method for scheduling multiple virtual machines to execute tasks on a physical computing infrastructure. The method involves determining a subset of the infrastructure and a time period for each virtual machine's deployment, ensuring that all tasks are completed efficiently. The scheduling is based on a mathematical optimization of a risk function, which assesses the likelihood of a virtual machine failing to complete its task.
Another notable patent is "Scheduling tasks to resources for a network using fuzzy logic." This invention provides a method to optimize the delivery of services over communication networks. It excludes tasks that need to be executed immediately or those that are scheduled for a long time in the future from the optimization process. A score is calculated using fuzzy logic for each task and its related resources, which helps determine which tasks should be prioritized for optimization.
Career Highlights
Anne Liret currently works at British Telecommunications Public Limited Company, where she applies her expertise in virtual machine scheduling and resource optimization. Her innovative approaches have contributed to advancements in the efficiency of computing tasks.
Collaborations
Some of her notable coworkers include Carla Cairano-Gilfedder and Mathias Kern. Their collaborative efforts have further enhanced the impact of their work in the field.
Conclusion
Anne Liret's contributions to the field of computer science through her patents demonstrate her commitment to innovation and efficiency. Her work continues to influence the optimization of computing resources and task scheduling.