Clustered Cache Appliances for NAS Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional Network Attached Storage (NAS) devices face performance issues due to lower cache hit rates caused by increased disk capacity and high-density mounting, leading to slower access response times, which existing solutions have not adequately addressed.
Innovation Solution
A high-performance, scalable, stand-alone intelligent cache appliance that dynamically caches files by monitoring NFS and CIFS traffic between clients and NAS subsystems, intercepting requests to provide read and write cache acceleration, and allows clustering of multiple appliances to form a cohesive memory pool without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If disk capacity is increased and high-density mounting is used, then storage capacity is improved, but cache hit rate decreases and access response time increases
Solution Approach 1:
The system segments storage functionality into two separate components: a high-capacity disk subsystem for bulk storage and a high-speed cache appliance for frequently accessed data. This segmentation allows each component to optimize for its specific function, with the cache appliance intercepting requests before they reach the slower disk subsystem, thereby maintaining fast access times while preserving large storage capacity.
Solution Approach 2:
The cache appliance acts as an intermediary component positioned between the client devices and the NAS storage subsystem. It intercepts I/O requests, determines whether data can be served from its high-speed cache memory, and only forwards requests to the disk subsystem when necessary. This intermediary approach resolves the contradiction by providing fast access for cached data while maintaining the ability to access large容量的 stored data.
2Speed
If cache memory size is increased, then access speed is improved, but system cost increases
Solution Approach 1:
The system changes the parameter of cache memory technology by using solid-state flash memory instead of traditional DRAM cache. This parameter change provides sufficient cache capacity at a lower cost point while maintaining high-speed access characteristics, thereby achieving improved access speed without proportionally increasing system cost.
3Productivity
If multiple cache appliances are clustered to scale cache capacity, then caching performance is improved, but system complexity increases
Solution Approach 1:
Multiple cache appliances are merged into a unified cluster that operates as a single logical caching system. The appliances share a common namespace and coordinate through standardized protocols, allowing them to collectively provide large-scale caching performance. This merging approach enables horizontal scaling of caching capacity while managing complexity through uniform appliance designs and automated coordination mechanisms.
Data Source
AI summary
A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using clustered cache appliances with packet inspection intelligence. A cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).