Automated Server Discovery in Copy Data Management
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Solution Overview
Problem
Manual registration of hosts in copy data management (CDM) systems is time-consuming and error-prone, especially in environments with numerous hosts or virtual machines, which can compromise CDM processes.
Innovation Solution
Implementing automated server discovery within CDM systems to automatically detect and register hosts, eliminating the need for manual entry of host information such as IP addresses and credentials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual registration of hosts is used in CDM systems, then user control and verification are maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The host system automatically performs registration with the CDM system without requiring manual user input. The host initiates and completes the registration process autonomously by providing its own identification information, thereby eliminating time-consuming manual operations while maintaining registration accuracy through automated data capture.
Solution Approach 2:
The patent introduces an automated discovery mechanism that acts as an intermediary between the host and the CDM system. This intermediary automatically extracts host identification information and facilitates registration, reducing both the time required and the potential for human error in the registration process.
2Productivity
If automated server discovery is implemented, then registration time and errors are reduced, but system complexity increases
Solution Approach 1:
The host system autonomously provides its own identification information to the CDM system without requiring external discovery mechanisms. This self-service approach enables automated registration while minimizing additional system complexity, as the host itself becomes the source of registration data rather than requiring separate discovery infrastructure.
3Measurement precision
If manual host registration is performed, then data accuracy can be verified, but the likelihood of input errors increases
Solution Approach 1:
The host system automatically provides its own identification information to the CDM system without requiring manual user input. This eliminates human input errors entirely while maintaining data accuracy, as the host generates and provides its own identification data autonomously, resolving the contradiction between verification capability and error prevention.
Data Source
AI summary
In one example, a method involves performing an initial discovery process that includes querying a storage array, and identifying, based on the query, one or more hosts that are registered with the storage array. This initial discovery process is performed automatically without requiring user action to identify the one or more hosts. The method additionally includes presenting a list of discovered hosts, receiving a selection input from a user specifying one or more of the hosts in the list, retrieving, from the storage array, information associated with each of the respective hosts, and making the information available to a user.