Dynamic Central Cache Memory Resource Allocation
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Solution Overview
Problem
Current memory storage systems, particularly managedNAND types like eMMC and SSD, face inefficiencies due to insufficient embedded memory resources, leading to delays and wear-out issues when handling runtime data, especially in networked devices with limited resources.
Innovation Solution
Implementing a central cache module that dynamically allocates and manages memory resources across multiple memory modules, using pre-set or run-time reservations based on device IDs, class IDs, and memory types, to optimize resource utilization and reduce reliance on slower non-volatile memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If memory resources are reserved statically for each memory module, then reliability is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements a dynamic resource allocation mechanism where the cache module can switch between static reservation modes and dynamic allocation modes. The system determines resource allocation based on real-time operational states, allowing it to adapt to different scenarios while maintaining reliability through structured allocation protocols.
Solution Approach 2:
The cache module serves multiple functions: it acts as both a reserved resource for specific memory modules and a dynamic allocation pool for other modules. This multi-functionality allows the system to maintain reliability for critical operations while providing adaptability for varying workload demands.
2Productivity
If embedded memory resources are increased, then system performance is improved, but device complexity increases
Solution Approach 1:
The patent introduces a cache module as an intermediary between memory modules and the host device. This cache module manages resource allocation and operations, reducing the complexity burden on individual memory modules while improving overall system performance through centralized intelligent management.
Solution Approach 2:
The memory system is segmented into distinct functional components: memory modules, cache module, and host device. Each segment has specialized responsibilities, with the cache module handling resource management tasks. This segmentation improves performance by optimizing each component's function while managing complexity through clear functional boundaries.
3Adaptability or versatility
If dynamic resource allocation is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The cache module implements self-service mechanisms for resource allocation, using predefined criteria and automated decision-making algorithms to determine resource distribution. This reduces the need for complex external control mechanisms while maintaining high adaptability to different operational scenarios.
Solution Approach 2:
The system dynamically changes allocation parameters based on operational conditions, such as memory module status, workload demands, and performance metrics. By adjusting these parameters through standardized protocols, the system achieves adaptability without requiring fundamentally complex control architectures.
Data Source
AI summary
The specification and drawings present a new apparatus, method and software related product for using a cache/central cache module/device (instead of e.g., system DRAM) which can serve multiple memory modules/devices. Each memory/IO module/device connected to the same memory network (e.g., via hub, bus, etc.) may utilize memory resources of this cache module/device either in a fixed manner using pre-set allocation of resources per the memory module/device, or dynamically using run-time allocation of new resources to an existing module/device per its request or to a new module/device connecting to the memory network (e.g., comprised in a host device) and possibly requesting memory resources.