Memory Hypervisor Bypasses Storage Stack for Distributed Node Provisioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems face performance bottlenecks in handling large data volumes due to inefficient data reading and writing processes, particularly in how applications interact with memory and storage devices, leading to suboptimal performance and scalability.
Innovation Solution
The implementation of a system that allows applications to directly issue I/O requests to storage pools via a memory hypervisor module, bypassing the storage stack, using POSIX interfaces and scale-out volume offsets to manage data layouts and mappings between virtual and physical addresses, enabling transparent interaction with memory devices at scale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If applications interact with storage through traditional storage stack, then data access is simplified, but performance bottlenecks occur due to inefficient data reading and writing processes
Solution Approach 1:
The patent extracts the memory hypervisor module from the traditional storage stack architecture. This module is positioned between the application layer and the storage layer, allowing applications to issue I/O requests directly to storage pools without going through the conventional storage stack processing path, thereby improving data access performance while maintaining simplified interaction through POSIX interfaces
Solution Approach 2:
The memory hypervisor module acts as an intermediary component that mediates between applications and storage pools. It receives I/O requests from applications, translates them into appropriate storage operations using scale-out volume offsets, and manages data layouts, thereby enabling direct high-performance access while abstracting the complexity of storage management
2Adaptability or versatility
If traditional storage stack is used, then configuration management is maintained, but scalability is limited due to overhead
Solution Approach 1:
The patent segments the storage access path into distinct functional components: the memory hypervisor module handles I/O request processing and translation, while the storage pools manage actual data storage. This segmentation allows thousands of client application nodes to access storage independently and efficiently, improving system scalability by reducing the overhead on centralized storage stack components
Solution Approach 2:
The system employs dynamic configuration management where the memory hypervisor module can adaptively handle I/O requests and manage data layouts based on runtime conditions. The use of scale-out volume offsets enables flexible mapping between virtual and physical addresses, allowing the system to scale dynamically without rigid configuration constraints
Data Source
AI summary
In general, embodiment relate to a method for provisioning a plurality of client application nodes in a distributed system using a management node, the method comprising: creating a file system in a namespace; associating the file system with a scale out volume; mounting the file system on a metadata node in the distributed system, wherein mounting the file system comprises storing a scale out volume record of the scale out volume; storing file system information for the file system in a second file system on the management node, wherein the file system information specifies the file system and the metadata node on which the file system is mounted; wherein storing the file system information triggers distribution of the file system information to at least a portion of a plurality of client application nodes.