Computing System Reboot Tracking with Request Identifier Matching
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Solution Overview
Problem
Distributed computing systems face challenges in consistently handling reboots due to differing client privileges and types of reboot requests, leading to redundant reboots that reduce uptime and affect client workloads without a mechanism to track and manage reboot requests effectively.
Innovation Solution
A computing system with a reboot tracking module that assigns a unique reboot request identifier (RRID) to each node, tracks reboot states, and manages reboot requests by comparing identifiers to determine acceptance or rejection, ensuring only authorized reboots are performed and redundant requests are avoided.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reboot requests are handled without tracking mechanism, then client operations are simple, but redundant reboots occur reducing uptime
Solution Approach 1:
The system performs preliminary action by assigning a unique reboot request identifier (RRID) to each node before processing reboot requests. This pre-established identifier enables the system to track and manage reboot requests effectively, preventing redundant reboots while maintaining simple client operations. The RRID is assigned in advance and stored, allowing subsequent reboot requests to be matched against the stored identifier to determine whether to process or reject the request.
2Productivity
If reboot tracking is implemented, then redundant reboots are prevented, but system complexity increases
Solution Approach 1:
The system extracts the essential tracking function into a dedicated reboot tracking module that operates independently from the core reboot processing logic. This module handles only the identification and matching of reboot requests using RRIDs, separating the tracking complexity from the reboot execution logic. The extracted tracking mechanism can be implemented as a separate service or module that maintains a mapping between nodes and their current RRIDs, reducing the complexity burden on the main system.
3Adaptability or versatility
If multiple clients can request reboot, then system flexibility is improved, but conflict management becomes difficult
Solution Approach 1:
The system introduces an intermediary mechanism in the form of a reboot tracking module that mediates between multiple clients and the node reboot process. This intermediary uses RRIDs as a common reference to manage conflicts and coordinate reboot requests from different clients. The tracking module receives reboot requests from various clients, compares their RRIDs against the stored identifier, and determines whether to process or reject each request, thereby resolving conflicts automatically without requiring complex client coordination.
Data Source
AI summary
A computing system is provided, including a processor and memory executing a reboot tracking module configured to read out a stored reboot request identifier assigned to a node in the computing system including a first value, and receive a first reboot request to reboot the node in the computing system including a first reboot request identifier. The reboot tracking module is further configured to, responsive to identifying a match between a value of the first reboot request identifier and the first value of the stored reboot request identifier, accept the first reboot request and update the stored reboot request identifier with a second value, receive a second reboot request to reboot the node including a second reboot request identifier, and responsive to identifying a mismatch between a value of the second reboot request identifier and the second value of the stored reboot request identifier, reject the second reboot request.