Distributed Server Data Management with Predictive Analytics

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Solution Overview

Problem

Conventional online systems for managing resources for third parties are inefficient due to processing power, memory, and network bandwidth issues, leading to suboptimal resource management.

Innovation Solution

A distributed server data management system that includes a resource management server with a processor, communication interface, and memory, utilizing a data analytics engine to detect potential future actions and provide recommended actions to users, while allowing authorization and access control for secondary users with customizable access levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional online systems are used for resource management, then users can manually manage resources for third parties, but computing resources such as processing power, memory, and network bandwidth are inefficiently utilized

Engineering Contradiction:

Improveresource management efficiencyVSAvoidcomputational resource utilization

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by detecting potential future actions through the data analytics engine and presenting recommended future actions to users before they manually execute them. This allows the system to anticipate and prepare for resource management tasks, reducing the need for reactive processing and improving overall efficiency while optimizing computational resource utilization.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If manual resource management is implemented through online websites, then users can control resources, but the processes and interfaces lead to inefficiencies in processing power, memory, and network bandwidth

Engineering Contradiction:

Improveuser control capabilityVSAvoidsystem interface complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system enables self-service by automatically detecting user needs through the data analytics engine and generating recommended future actions without requiring complex manual interfaces. Users simply review and approve recommendations, eliminating the need for complicated processes and interfaces while maintaining full control over resource management decisions.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If the system provides full access to historical data for second users, then multi-user access is enabled, but security and access control may be compromised

Engineering Contradiction:

Improvemulti-user access flexibilityVSAvoiddata security

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system applies local quality by allowing different users to have different levels of access to historical data based on their specific needs and authorization. Second users can be granted selective access to particular data sets or time periods relevant to their responsibilities, providing customized access control that maintains security while enabling necessary multi-user collaboration.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10437899B2System for distributed server data management with multi-user access

Publication Date: 2019.10.08 BANK OF AMERICA CORP

AI summary

A system for distributed server data management is provided. The system receives, via a user device associated with a user, a request to manage a resource on behalf of a third party, recalls historical data associated with the third party from the historical database, detects, via a data analytics engine, a potential future action of the user, and displays, via a graphical interface, a recommended future action to the user. In this way, the system provides an efficient way for users to manage resources for a third party.