Virtual State Machine for Client-Server Storage Operations
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Solution Overview
Problem
Current client-server systems face excessive overhead and redundancy due to the lack of a unified approach in managing storage operations, where managing entities must constantly monitor and reissue requests to storage controllers, leading to duplicate operations and increased administrative burden.
Innovation Solution
Implementing a method where a managing entity transmits logic code with state and event information to storage controllers, allowing them to transition between operation states and perform associated operations autonomously, reducing the need for direct communication and acknowledgement from the managing entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the managing entity constantly monitors and reissues requests to storage controllers, then operation reliability is improved, but system overhead increases and duplicate operations occur
Solution Approach 1:
The storage controller is equipped with a virtual machine that autonomously manages operation states and makes decisions about request handling without requiring constant intervention from the managing entity. The controller self-monitors its own state and self-corrects by detecting duplicate requests, thereby improving reliability while reducing system overhead.
Solution Approach 2:
The system implements a feedback mechanism where the storage controller reports its operation state and received requests back to the managing entity. The virtual machine processes this feedback to determine whether reissued requests are duplicates or necessary retransmissions, enabling reliable operation management without excessive overhead.
2Adaptability or versatility
If the managing entity supports multiple command structures for different storage controllers, then system adaptability is improved, but device complexity increases
Solution Approach 1:
The virtual machine acts as an intermediary layer between the managing entity and the storage controller's proprietary command structure. It translates and interprets requests according to the appropriate command structure without requiring the managing entity to directly support multiple different command formats, thus maintaining adaptability while reducing managing entity complexity.
Solution Approach 2:
The virtual machine provides a universal interface that can handle multiple command structures through a single standardized mechanism. Rather than requiring the managing entity to implement separate support for each storage controller's command structure, the virtual machine universally processes all requests through its state management logic.
3Reliability
If all decision-making logic resides in the managing entity, then system control is centralized, but productivity decreases due to excessive communication overhead
Solution Approach 1:
The decision-making logic is segmented between the managing entity and the storage controller's virtual machine. The virtual machine handles local decisions about operation state transitions and duplicate request detection, while the managing entity retains overall system control. This segmentation reduces communication overhead and improves productivity while maintaining centralized control where necessary.
Solution Approach 2:
The virtual machine is pre-configured with logic to autonomously handle common decision-making scenarios such as detecting duplicate requests and managing operation states. By performing these decisions in advance or autonomously without requiring managing entity intervention, the system improves productivity while the managing entity maintains supervisory control.
Data Source
AI summary
A method of managing operations performed in a client-server environment comprises receiving a set of commands; executing a first command in the set, wherein the first command is associated with a second command; and executing the second command, in response to determining that a first event has occurred.