Delegating Information Management Operations to External Resources

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current information management systems face limitations in scalability and efficiency due to hardware constraints, leading to unnecessary service costs and potential liability from unstructured data, as they struggle to accurately classify and manage electronic data across varying network configurations.

Innovation Solution

The system delegates information management processing operations to external computing resources, utilizing intelligent managers for tasks like discovery, classification, service level mapping, and orchestration, reducing the processing load on the information management server and enabling more efficient data management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If information management operations are performed on a single server, then system simplicity is maintained, but scalability is limited by hardware constraints

Engineering Contradiction:
ImprovescalabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the information management system into multiple independent server nodes that can operate autonomously. Each server can manage its own subset of data and operations, allowing the system to scale by simply adding more server nodes without requiring complex centralized coordination. This segmentation enables linear scalability while maintaining relative system simplicity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from a single-dimension centralized server model to a multi-dimensional distributed network model. By adding the spatial dimension of multiple servers operating in parallel, the system achieves scalability without proportionally increasing operational complexity, as each server operates independently in its own operational dimension.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Productivity

If multiple homogeneous servers are used for scaling out, then processing capacity increases, but integration difficulties arise

Engineering Contradiction:
Improveprocessing capacityVSAvoidintegration complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent employs homogeneous server nodes with identical or similar hardware and software configurations. This homogeneity simplifies integration because all servers follow the same operational protocols, use the same data formats, and can be managed uniformly. New servers can be added to the network without requiring custom integration procedures, thereby increasing processing capacity while minimizing integration complexity.

Inventive Principle:
Principle #33Homogeneity

3Use of energy by moving object

If low-level information management functions are partitioned to other servers, then high-level server load is reduced, but significant computing resources are still required from the information management server

Engineering Contradiction:
Improveserver loadVSAvoidcomputing resources
Core Design Contradiction:
Use of energy by moving objectVSQuantity of substance

Solution Approach 1:

The patent extracts specific information management functions from the central information management server and delegates them to external servers. Low-level functions such as data storage, basic processing, and routine maintenance are taken out and handled by dedicated external servers, freeing up computing resources on the information management server for high-level decision-making and coordination tasks.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces intermediary components that facilitate communication and coordination between the information management server and external servers. These intermediaries handle resource allocation, task distribution, and data exchange, allowing the system to reduce server load while efficiently utilizing the computing resources of external servers without requiring excessive resources on the central server.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Reliability

If services are provided for all electronic data, then data protection is comprehensive, but unnecessary service costs are incurred for low-value data

Engineering Contradiction:
Improvedata protectionVSAvoidservice costs
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies local quality by providing different levels of service protection to different data based on their value and sensitivity. High-value or sensitive data receive comprehensive protection services including encryption, redundancy, and advanced security measures, while low-value data receive minimal or no specialized services. This differentiated approach ensures reliable protection for critical data while eliminating unnecessary service costs for insignificant data.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8522248B1Monitoring delegated operations in information management systems
Publication Date: 2013.08.27 EMC IP HLDG CO LLC
  • US8522248B1 patent drawing
  • US8522248B1 patent drawing
  • US8522248B1 patent drawing

AI summary

Information management is provided. Information management may include a method of monitoring the information management processes. The method may include delegating one or more information management processing operations to one or more external computing resources. The information management processing operations require intelligence provided by an information management server. Monitoring information received from the external computing resources indicates that the external computing resources are performing the one or more delegated information management processing operations. An analysis of a subset of data objects from the information management system is performed to ensure that the delegated information management process operations have been performed on the data objects.