Automatic selection of a data store

Patent metadata

Field	Value
Publication number	US-11250057-B2
Application number	US-201816603751-A
Country	US
Kind code	B2
Filing date	Mar 9, 2018
Priority date	Apr 12, 2017
Publication date	Feb 15, 2022
Grant date	Feb 15, 2022

Abstract

The disclosure relates to a method for operating a data storage system that includes a plurality of data stores. In the method, IoT data generated at a specific data point are stored in at least one data store, and at least one data store for storing the IoT data is selected automatically based on metadata, wherein the metadata are associated with a data point. The disclosure also relates to a computer program configured to carry out the method, and a data storage system that works according to the method.

First claim

The invention claimed is:

1. A method for operating a data storage system comprising a plurality of data stores, the method comprising:
providing Internet of Things (IoT) data, wherein the IoT data arises at a plurality of data points;
supplementing, by a processor of the data storage system, each data point of the plurality of data points with metadata for assigning the IoT data to a data storage, wherein the metadata comprises at least one metadatum for specification of a latency of the IoT data arising at the respective data point, wherein an adaptable latency value is initialized with the latency defined in the at least one metadatum, wherein, on accessing the IoT data of a data point of the plurality of data points in a context of a data activity recognition, an exceeding of a configurable activity threshold is monitored, and wherein, on exceeding the activity threshold, the adaptable latency value is reduced by a configurable amount;
automatically selecting at least one data store of a plurality of data stores for storage of the IoT data based on the adaptable latency value of the at least one metadatum allocated to a respective data point of the plurality of data points; and
storing IoT data in the selected at least one data store of the plurality of data stores.

2. The method of claim 1 , wherein the automatic selection of the at least one data store takes place based on the at least one metadatum and a configuration of the data storage system, and
wherein the configuration comprises a definition of an assignment of the latency or a latency region to respectively at least one data store.

3. The method of claim 1 , wherein the IoT data of a data point of the plurality of data points is automatically stored according to a criticality defined in the metadata with increased failure prevention.

4. The method of claim 1 , wherein the IoT data of a data point of the plurality of data points is automatically stored after expiry of a lifetime defined in the metadata.

5. The method of claim 1 , wherein the IoT data of a data point of the plurality of data points for which an indexing has been requested, by the metadata, is automatically deposited in a suitable data store.

6. The method of claim 1 , wherein, in event of a size limit of a data store of the plurality of data stores, a latency defined in the metadata is used for determining a priority, and
wherein, based on the priority determined, the IoT data is automatically deposited in a faster data store or in a data store which is slower in comparison therewith.

7. A non-transitory storage medium storing computer-executable program code instructions, wherein the program code instructions, when executed, cause a processor of a data storage system to:
provide Internet of Things (IoT) data, wherein the IoT data arises at a plurality of data points;
supplement each data point of the plurality of data points with metadata for assigning the IoT data to a data storage, wherein the metadata comprises at least one metadatum for specification of a latency of the IoT data arising at the respective data point, wherein an adaptable latency value is initialized with the latency defined in the at least one metadatum, wherein, on accessing the IoT data of a data point of the plurality of data points in a context of a data activity recognition, an exceeding of a configurable activity threshold is monitored, and wherein, on exceeding the activity threshold, the adaptable latency value is reduced by a configurable amount;
automatically select at least one data store of a plurality of data stores for storage of the IoT data based on the adaptable latency value of the at least one metadatum allocated to a respective data point of the plurality of data points; and
store Internet of Things (IoT) data in the selected at least one data store.

8. A data storage system comprising:
a plurality of data stores;
a processor;
a storage unit; and
a computer program,
wherein the computer program is loaded into the storage unit and, on operation of the data storage system by the processor, is configured to:
provide Internet of Things (IoT) data, wherein the IoT data arises at a plurality of data points;
supplement each data point of the plurality of data points with metadata for assigning the IoT data to a data storage, wherein the metadata comprises at least one metadatum for specification of a latency of the IoT data arising at the respective data point, wherein an adaptable latency value is initialized with the latency defined in the at least one metadatum, wherein, on accessing the IoT data of a data point of the plurality of data points in a context of a data activity recognition, an exceeding of a configurable activity threshold is monitored, and wherein, on exceeding the activity threshold, the adaptable latency value is reduced by a configurable amount;
automatically select at least one data store of a plurality of data stores for storage of the IoT data based on the adaptable latency value of the at least one metadatum allocated to a respective data point of the plurality of data points; and
store Internet of Things (IoT) data in the selected at least one data store.

9. The data storage system of claim 8 , wherein the automatic selection of the at least one data store is configured to take place based on the at least one metadatum and a configuration of the data storage system, and
wherein the configuration comprises a definition of an assignment of the latency or a latency region to respectively at least one data store.

Assignees

• Siemens Ag

Inventors

• Ripplinger Thomas

Classifications

• G06Q30/00

  Commerce · CPC title

• G06F16/182 Primary

  Distributed file systems · CPC title

• G06F16/907

  Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title

• G06F16/185

  Hierarchical storage management [HSM] systems, e.g. file migration or policies thereof (details of archiving G06F16/11) · CPC title

• G06F16/901 Primary

  Indexing; Data structures therefor; Storage structures (for retrieval from the web G06F16/951) · CPC title