Server Consolidation Modeling Tool

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Solution Overview

Problem

Conventional IT systems built on a distributed server-based computing model face inefficiencies such as poor utilization, redundancy, inadequate support, and difficulty in measuring maintenance costs, leading to inefficient infrastructure accumulation and operational challenges.

Innovation Solution

A system and method for IT infrastructure consolidation and rationalization, utilizing server management tools, centralizing servers, and workload consolidation to improve performance, reduce resources, and lower costs, including data processing and optimization systems to generate recommendations for improved infrastructure configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If servers are distributed across numerous physical locations to meet growing computing needs, then computing capacity is increased, but infrastructure complexity and management difficulty increase

Engineering Contradiction:
Improvecomputing capacityVSAvoidinfrastructure complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent consolidates multiple distributed servers into centralized server facilities, merging computing resources to reduce infrastructure complexity while maintaining or increasing computing capacity through efficient resource utilization and shared infrastructure

Inventive Principle:
Principle #5Merging (Combining)

2Quantity of substance

If new servers are incrementally added to meet growing computing needs, then computing capacity is increased, but server utilization efficiency deteriorates

Engineering Contradiction:
Improvecomputing capacityVSAvoidserver utilization efficiency
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The patent creates universal server pools where computing resources can be dynamically allocated to multiple applications and workloads, enabling single servers to serve multiple functions and improving overall utilization efficiency while meeting growing computing demands

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If multiple proprietary software products are deployed on different platforms, then functional requirements are met, but total cost of ownership increases

Engineering Contradiction:
Improvefunctional requirements coverageVSAvoidtotal cost
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent standardizes on universal hardware and software platforms that can run multiple proprietary applications, eliminating the need for separate hardware for each software product and reducing total cost while maintaining the ability to support diverse functional requirements

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Ease of operation

If servers are physically distributed across multiple locations, then local computing needs are met, but support and maintenance quality deteriorates

Engineering Contradiction:
Improvelocal computing availabilityVSAvoidsupport quality
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent introduces centralized server facilities as intermediaries that provide professional support and maintenance services, allowing local computing needs to be met through networked access while concentrating expertise and support resources in centralized locations

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS7761548B2Dynamic server consolidation and rationalization modeling tool
Publication Date: 2010.07.20 ACCENTURE GLOBAL SERVICES LTD
  • US7761548B2 patent drawing
  • US7761548B2 patent drawing
  • US7761548B2 patent drawing

AI summary

A method and system for providing efficient and flexible techniques for modeling technical and economic benefits of consolidating information technology (IT) systems, hardware, software, network, and other infrastructure are described. The system includes a data processing system configured to receive data from a user. The system also includes an input collection system communicatively coupled to the data processing system, with the input collection system designed to organize, convert, and sort the data to generate baseline server information. In addition, the system includes an optimization system communicatively coupled to the data processing system, with the optimization system designed to generate one or more server consolidation models based on the baseline server information. Further, based on the generated one or more server consolidation models, a recommendation can be generated.