View source for 17978716. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DATA COLLECTION simplified abstract (Dell Products L.P.)

=METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DATA COLLECTION=


==Organization Name==

[[:Category:Dell Products L.P.|Dell Products L.P.]]


[[Category:Dell Products L.P.]]

==Inventor(s)==

[[:Category:Fang Du of Guangyuan (CN)|Fang Du of Guangyuan (CN)]][[Category:Fang Du of Guangyuan (CN)]]

[[:Category:Weilan Pu of Chengdu (CN)|Weilan Pu of Chengdu (CN)]][[Category:Weilan Pu of Chengdu (CN)]]

[[:Category:Peilei Chen of Chengdu (CN)|Peilei Chen of Chengdu (CN)]][[Category:Peilei Chen of Chengdu (CN)]]

==METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DATA COLLECTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17978716 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DATA COLLECTION

==Simplified Explanation==

The present disclosure describes a method, electronic device, and computer program product for scheduling data collection based on running parameters of a storage system.

* The method involves acquiring running parameters of a storage system, determining grade ranges for each parameter indicating impact on scheduling, determining relevancies of parameters for each grade range, and scheduling data collection based on relevancies.
* The innovation allows for dynamic determination of when to perform data collection to avoid data loss.

== Potential Applications ==
This technology could be applied in various industries such as data storage, cloud computing, and information technology management.

== Problems Solved ==
This technology solves the problem of data loss by intelligently scheduling data collection based on the impact of running parameters.

== Benefits ==
The benefits of this technology include improved data management, reduced risk of data loss, and optimized performance of storage systems.

== Potential Commercial Applications ==
Potential commercial applications of this technology include data storage solutions, cloud service providers, and IT management software companies.

== Possible Prior Art ==
One possible prior art for this technology could be existing data collection scheduling methods in storage systems or IT management software.

== Unanswered Questions ==

=== How does this technology compare to existing data collection scheduling methods? ===
The article does not provide a direct comparison to existing methods, leaving the reader to wonder about the specific advantages of this innovation.

=== Are there any limitations to the dynamic determination of data collection scheduling? ===
The article does not address any potential limitations or challenges that may arise from the dynamic determination of data collection scheduling, leaving room for further exploration of this aspect.


==Original Abstract Submitted==

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for scheduling data collection. The method includes acquiring a plurality of running parameters of a storage system. The method further includes determining a plurality of grade ranges of each of the plurality of running parameters, the grade ranges indicating degrees of impact on scheduling for data collection. The method further includes determining a plurality of relevancies of the plurality of running parameters for the plurality of grade ranges. The method further includes determining scheduling for the data collection based on the plurality of relevancies. The method can dynamically determine when to perform data collection, thus avoiding data loss.



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