I/O Determinism via Load Balancer Mediator
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Solution Overview
Problem
Existing storage access technologies face challenges in implementing input/output (I/O) determinism due to the need for access to storage architecture information, which can compromise security and efficiency, especially when executing I/O instructions with specific time requirements.
Innovation Solution
A method and system that provide I/O determinism by receiving I/O instructions with service level indicators from client devices, determining if the instructions can be executed within the required time, and sending notifications to the client devices when execution is not possible, allowing for execution on suitable storage without exposing architectural information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the server requires knowledge of storage device architecture to implement I/O determinism, then I/O execution efficiency is improved, but security is compromised due to exposure of storage architecture information
Solution Approach 1:
The patent introduces a load balancer as an intermediary component between the server and storage devices. The load balancer receives I/O instructions, determines execution suitability based on storage architecture information, and routes instructions to appropriate storage devices. This mediator approach allows the server to achieve I/O determinism without directly accessing or exposing storage architecture details, thereby resolving the contradiction between efficiency improvement and security protection.
2Object-affected harmful factors
If the server sends I/O instructions to storage devices without knowing execution time requirements, then security is maintained, but I/O execution efficiency deteriorates due to inability to optimize instruction routing
Solution Approach 1:
The load balancer serves as an intermediary that receives I/O instructions from the server, evaluates them against storage device capabilities and current states, and routes instructions to appropriate storage devices. This mediator enables efficient instruction routing and execution time management without requiring the server to have direct knowledge of storage architecture, thus maintaining security while improving productivity.
Solution Approach 2:
The system implements feedback mechanisms where the load balancer monitors storage device execution status and adjusts instruction routing accordingly. Storage devices provide feedback about their execution capacity and state, allowing the load balancer to make informed routing decisions that optimize I/O execution efficiency while maintaining security by not exposing architecture information to the server.
3Productivity
If the server implements I/O determinism by accessing storage architecture information, then instruction routing optimization is achieved, but device complexity increases due to information management requirements
Solution Approach 1:
The load balancer acts as an intermediary that centralizes the management of storage architecture information and I/O instruction routing. Instead of the server maintaining complex knowledge of storage device architectures, the load balancer handles this complexity by receiving instructions, evaluating storage suitability, and routing to appropriate devices. This separation of concerns reduces the complexity burden on the server while achieving optimized instruction routing.
Data Source
AI summary
Systems and methods for providing input/output (I/O) determinism. An I/O instruction and at least one service level indicator are received, wherein the at least one service level indicator includes a required time for executing the I/O instruction. It is determined whether the I/O instruction can be executed on the storage within the required time. When it is not determined that the I/O instruction can be executed on the storage within the required time, a notification is sent.