Microsoft had 17 patents in edge computing during Q2 2024. Microsoft Corp’s patents filed in Q2 2024 focus on monitoring and reallocating compute resources in a cloud-computing environment, enabling DNS resolution during network connectivity issues using a host DNS local cache, managing security for data streams ingested by a tenant and a cloud platform using an edge device, and deploying cloud-native services across multiple cloud-computing platforms. These patents aim to optimize performance, enhance security, and streamline deployment processes in cloud environments. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft had no grants in edge computing as a theme in Q2 2024.
Recent Patents
Application: Techniques for adaptively allocating resources in a cloud-computing environment (Patent ID: US20240214871A1)
The patent filed by Microsoft Corp. describes a method and device for monitoring performance metrics of workloads in a cloud-computing environment and reallocating compute resources accordingly. Specifically, the technology focuses on monitoring traffic load of virtual radio access network (vRAN) workloads and reallocating hardware accelerator resources based on the comparison of traffic load to a threshold. This reallocation can involve adjusting queues for uplink or downlink traffic, redistributing resources across multiple virtual functions of the hardware accelerator, and utilizing machine learning to analyze performance metrics.
The system is designed to optimize resource allocation in cloud-computing environments, particularly for vRAN workloads providing wireless network access to user equipment. By monitoring traffic load and adjusting hardware accelerator resources accordingly, the technology aims to enhance the efficiency and performance of signal processing tasks within the cloud infrastructure. The patent outlines various aspects of resource reallocation, including adjusting queue sizes, redistributing resources among different vRAN workloads, and utilizing machine learning models for comparison and decision-making. Additionally, the technology addresses the specific requirements of 5G wireless network access and mobile edge computing environments, highlighting the potential applications and benefits of the proposed method and device.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
