18063761. SYSTEMS AND METHODS FOR MANAGEMENT OF DATA STORAGE DEVICES IN A HETEROGENEOUS COMPUTING PLATFORM simplified abstract (Dell Products, L.P.)
Contents
SYSTEMS AND METHODS FOR MANAGEMENT OF DATA STORAGE DEVICES IN A HETEROGENEOUS COMPUTING PLATFORM
Organization Name
Inventor(s)
Daniel L. Hamlin of Round Rock TX (US)
Suraj M Varma of Portland OR (US)
Travis C. North of Cedar Park TX (US)
SYSTEMS AND METHODS FOR MANAGEMENT OF DATA STORAGE DEVICES IN A HETEROGENEOUS COMPUTING PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18063761 titled 'SYSTEMS AND METHODS FOR MANAGEMENT OF DATA STORAGE DEVICES IN A HETEROGENEOUS COMPUTING PLATFORM
Simplified Explanation: The patent application describes systems and methods for managing the performance of storage drives in heterogeneous computing platforms of Information Handling Systems (IHSs). It involves firmware instructions stored in memory that control the operation of devices in the platform, with one device acting as an orchestrator to adjust storage drive settings based on changes in user context, thereby optimizing the performance of the IHS.
- The patent application focuses on managing the performance of storage drives in heterogeneous computing platforms of IHSs.
- Firmware instructions stored in memory control the operation of devices in the platform.
- One device acts as an orchestrator to adjust storage drive settings based on changes in user context.
- The orchestrator optimizes the performance of the IHS by configuring storage drives accordingly.
Potential Applications: This technology can be applied in various industries where heterogeneous computing platforms are used, such as data centers, cloud computing, and high-performance computing environments.
Problems Solved: This technology addresses the challenge of efficiently managing the performance of storage drives in complex computing platforms with diverse devices and user contexts.
Benefits: The technology allows for dynamic adjustment of storage drive settings based on user context, leading to improved performance and efficiency of the Information Handling System.
Commercial Applications: Optimizing storage drive performance in heterogeneous computing platforms can benefit industries such as data storage, cloud computing services, and high-performance computing providers by enhancing overall system efficiency and user experience.
Prior Art: Prior research in the field of heterogeneous computing platforms and storage drive management can provide valuable insights into similar technologies and approaches.
Frequently Updated Research: Stay informed about the latest advancements in heterogeneous computing platforms, storage drive management, and user context-based optimization to ensure the technology remains competitive and relevant in the market.
Questions about Storage Drive Management in Heterogeneous Computing Platforms: 1. How does the orchestrator device determine the appropriate storage drive settings based on changes in user context? 2. What are the potential challenges in implementing this technology across different types of storage drives in an Information Handling System?
Original Abstract Submitted
Systems and methods for managing performance of storage drives in heterogenous computing platforms of IHSs (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in the context of operation of the IHS by a user and determines storage drive settings that are mapped to the reported user context, where the storage drive settings modify operations by the plurality of storage drives of the IHS. The orchestrator configures one or more of the plurality of storage drives of the IHS using the storage drive settings and thus adjusts the performance of the IHS in response to the change in user context.
