Cloud Process Tenant System for Big Data Re-integration

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Solution Overview

Problem

The re-integration of big data processing sub-processes across different entities is time-consuming, error-prone, and cumbersome due to non-standardized approaches, making it difficult to manage and coordinate data processing efficiently and accurately in large data sets like warehouse data, IoT observations, and life sciences information.

Innovation Solution

A cloud-embedded process tenant system facilitates coordination and management by establishing a process using a tenant template associated with public and private data, transmitting public data to a remote service executor platform, receiving result data and a process state identifier, and materializing a virtual process to integrate public, private, and result data efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If sub-processes are processed by different entities using non-standardized approaches, then data processing can be distributed and specialized, but re-integration becomes time-consuming and error-prone

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidre-integration time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system segments big data processing into independent sub-processes that can be distributed to different entities. Each entity processes specific portions of data using specialized approaches, while the process tenant template maintains the structural framework for re-integration. This segmentation enables parallel processing without sacrificing re-integration efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The invention changes the parameter of data exchange format by using standardized process tenant templates that define specific data structures, identifiers, and exchange protocols. This standardization transforms the re-integration process from error-prone manual operations to automated, standardized data exchange, significantly reducing re-integration time and errors.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If non-standardized approaches are used for data processing, then entities can use customized methods, but re-integration becomes cumbersome and error-prone

Engineering Contradiction:

Improveprocessing method flexibilityVSAvoidre-integration ease

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The process tenant template acts as an intermediary layer between customized processing methods and re-integration requirements. It provides a standardized interface that accommodates various processing approaches while ensuring consistent data exchange formats, thereby maintaining both flexibility and ease of re-integration.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The process tenant template is designed with universal data structures and identifiers that can accommodate multiple processing methods and data types. This multi-functionality allows different entities to use customized processing approaches while still integrating seamlessly through the common template framework.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If all data including private data is transmitted to remote platforms, then complete processing can be performed, but data privacy and security are compromised

Engineering Contradiction:

Improveprocessing completenessVSAvoiddata privacy security

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system extracts and separates private data from public data in the process tenant template. Only public data and necessary identifiers are transmitted to remote platforms for processing, while private data remains on the local platform. This extraction enables complete processing of public information without compromising sensitive private data security.

Inventive Principle:

Principle #2Taking out (Extraction)

4Ease of operation

If manual re-integration of processed data is performed, then data can be consolidated, but the process is time-consuming and error-prone

Engineering Contradiction:

Improvedata consolidation capabilityVSAvoidconsolidation time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The invention replaces manual mechanical re-integration operations with automated electronic data exchange using standardized process tenant templates. Control logic automatically retrieves processed data, matches it with original templates using identifiers, and performs re-integration without manual intervention, dramatically reducing time and errors.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10083061B2Cloud embedded process tenant system for big data processing

Publication Date: 2018.09.25 SAP SE

AI summary

A process owner platform may be associated with a cloud embedded big data application and may exchange information with a tenant service executor platform. The process owner platform may establish a process using a process tenant template, the process being associated with public and private data and transmit, to the remote tenant service executor platform, information including the public data (without including the private data). The process owner platform may then receive result data and a process state identifier and establish a virtual process such that it is associated with the public data, the private data, and the result data. The process owner platform may also execute control logic in accordance with the process state identifier to materialize the virtual process into a process or a process tenant template, and the materialized process or process tenant template may associated with the public data, the private data, and the result data.