Provisioning insight services in a data provider landscape

Patent metadata

Field	Value
Publication number	US-2018123967-A1
Application number	US-201615342416-A
Country	US
Kind code	A1
Filing date	Nov 3, 2016
Priority date	Nov 3, 2016
Publication date	May 3, 2018
Grant date	—

Abstract

The present disclosure involves systems, software, and computer implemented methods for provisioning insight services in a data provider landscape. A method includes presenting an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider. Selection of the algorithm is received from a data consumer. The selected algorithm is provided to an agent at the data provider. The agent is configured to provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider. The agent is configured to execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs. The agent is configured to enable monitoring of the execution of the selected algorithm.

First claim

What is claimed is:

1 . A computer-implemented method, the method comprising:
presenting multiple algorithm descriptions including an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider, the algorithm description describing resources required to execute the algorithm, and data to be used by the algorithm; receiving selection of the algorithm from a data consumer; and providing the selected algorithm to an agent at the data provider, wherein the agent is configured to:
provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider;
execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs; and
enable monitoring of the execution of the selected algorithm.

2 . The method of claim 1 , wherein the selected algorithm is configured to obtain data provided by another data provider.

3 . The method of claim 1 , wherein the data included in the landscape of the data provider is private data maintained within the landscape of the data provider.

4 . The method of claim 3 , wherein the monitoring comprises enabling the algorithm provider to view performance information related to the execution of the selected algorithm while preventing the algorithm provider from viewing the private data.

5 . The method of claim 1 , wherein the resources include one or more of computing nodes, memory, network resources, and virtual machines.

6 . The method of claim 1 , wherein:
the agent is further configured to identify resources currently installed in the landscape of the data provider and provide information describing the installed resources; and presenting the algorithm description comprises:
determining, based on the information describing the installed resources, whether the resources currently installed in the data provider landscape are sufficient for executing the selected algorithm; and
presenting information that indicates whether the resources currently installed are sufficient, including presenting information that indicates resource shortcomings when the resources currently installed are not sufficient.

7 . The method of claim 1 , wherein the one or more outputs comprise one or more insights determined based on the data included in the landscape of the data provider.

8 . The method of claim 1 , wherein enabling monitoring comprises providing the one or more outputs to the data consumer.

9 . The method of claim 1 , wherein the data included in the landscape of the data provider comprises data generated by a set of Internet of Things (IoT) devices.

10 . The method of claim 1 , wherein the data consumer and the data provider are the same entity.

11 . The method of claim 1 , wherein the data consumer and the data provider are different entities.

12 . A system, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor, the memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
presenting multiple algorithm descriptions including an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider, the algorithm description describing resources required to execute the algorithm, and data to be used by the algorithm;
receiving selection of the algorithm from a data consumer; and
providing the selected algorithm to an agent at the data provider, wherein the agent is configured to:
provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider;
execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs; and
enable monitoring of the execution of the selected algorithm.

13 . The system of claim 12 , wherein the selected algorithm is configured to obtain data provided by another data provider.

14 . The system of claim 12 , wherein the data included in the landscape of the data provider is private data maintained within the landscape of the data provider.

15 . The system of claim 12 , wherein the data consumer and the data provider are the same entity.

16 . The system of claim 12 , wherein the data consumer and the data provider are different entities.

17 . One or more computer-readable media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:
presenting multiple algorithm descriptions including an algorithm description of an algorithm provided by an algorithm provider that is to be executed in a landscape of a data provider, the algorithm description describing resources required to execute the algorithm, and data to be used by the algorithm; receiving selection of the algorithm from a data consumer; and providing the selected algorithm to an agent at the data provider, wherein the agent is configured to:
provision resources in the landscape of the data provider, according to the algorithm description, to enable execution of the selected algorithm in the landscape of the data provider;
execute the selected algorithm in the landscape of the data provider, using data included in the landscape of the data provider, producing one or more outputs; and
enable monitoring of the execution of the selected algorithm.

18 . The computer-readable media of claim 17 , wherein the data included in the landscape of the data provider is private data maintained within the landscape of the data provider.

19 . The computer-readable media of claim 17 , wherein the data consumer and the data provider are the same entity.

20 . The computer-readable media of claim 17 , wherein the data consumer and the data provider are different entities.

Assignees

• Sap Portals Israel Ltd

Inventors

• Kinarti Barak
• Nathan Eyal
• Blich Amir
• Fishler Ido
• Behrens Marcus

Classifications

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• H04L43/08

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• H04L67/32

  Electricity · mapped topic

• H04L47/70 Primary

  Admission control; Resource allocation · CPC title