Host Multi-Path Zone Set Adjustment via Centralized Discovery
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Solution Overview
Problem
Conventional approaches for configuring and adjusting zone sets in distributed storage systems, particularly with advanced protocols like NVMe-oF or NVMe/TCP, require excessive manual intervention, making them inflexible and inefficient.
Innovation Solution
Implementing a centralized discovery controller that interacts with a multi-path layer of hosts to dynamically adjust zone sets, eliminating the need for manual intervention and enabling flexible zone set arrangements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention by storage administrators is used to configure and adjust zone sets, then zone set configuration can be performed, but the process becomes complex and time-consuming with excessive manual intervention required
Solution Approach 1:
The system enables self-service zone set configuration where the centralized discovery controller automatically adjusts zone sets based on path performance monitoring without requiring manual intervention from storage administrators. The controller autonomously identifies optimal paths and configures zone sets dynamically.
Solution Approach 2:
The system implements feedback mechanisms where path performance is continuously monitored and this performance information feeds back to the centralized discovery controller, which then automatically adjusts zone sets to optimize storage access based on real-time performance data.
2Adaptability or versatility
If manual intervention is required for zone set adjustment, then configuration control is maintained, but flexibility and adaptability to changing storage conditions are reduced
Solution Approach 1:
The system transitions from static manual zone set configuration to dynamic automatic adjustment. The centralized discovery controller continuously monitors path performance and dynamically reconfigures zone sets in real-time to adapt to changing storage conditions without human intervention.
Solution Approach 2:
The discovery controller performs self-service automation where it independently monitors, analyzes, and adjusts zone sets based on path performance metrics, eliminating the need for manual administrator intervention while maintaining full control over zone configuration.
3Productivity
If conventional manual approaches are used for zone set configuration, then system control is maintained, but productivity and efficiency are reduced due to excessive manual intervention
Solution Approach 1:
The system uses feedback from path performance monitoring to automatically drive zone set configuration, eliminating manual configuration steps and significantly improving productivity. The controller continuously optimizes zone sets based on real-time performance data without human intervention.
Solution Approach 2:
The centralized discovery controller performs self-service automation to configure and adjust zone sets, replacing manual administrator tasks with automated processes that continuously optimize storage access paths based on performance metrics.
Data Source
AI summary
An apparatus in an illustrative embodiment comprises at least one processing device that includes a processor coupled to a memory. The at least one processing device is configured to implement a centralized discovery controller for coupling to a host and to a storage system accessed by the host. The centralized discovery controller is configured to receive, from at least one of the host and the storage system, information indicating a need for an adjustment in at least one zone set, a given such zone set specifying a plurality of endpoints including one or more host endpoints and one or more storage system endpoints, and responsive to the received information, to automatically initiate the adjustment in the at least one zone set. The host endpoints illustratively comprise respective host initiators and the storage system endpoints illustratively comprise respective storage system targets.