Docking Limited-Feature Data Modules to Full System
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Solution Overview
Problem
Organizations face challenges in transitioning from limited-feature data management software applications to comprehensive systems, as existing solutions struggle to integrate metadata and data from multiple sources, leading to resource inefficiencies and difficulties in providing additional features for virtual machine management and other data management tasks.
Innovation Solution
A system that allows limited-feature data management modules to be 'docked' with a full-featured data management system, enabling the integration of metadata and data, and providing additional features such as virtual machine life cycle management, including detection, shutdown, archiving, and restoration of idle virtual machines, while also offering seamless transitions and resource optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a comprehensive and full-featured data management system is deployed, then data management capabilities and features are improved, but system cost, resource consumption, and operational complexity increase
Solution Approach 1:
The patent segments the data management system into a full-featured data management system and multiple limited-feature modules that can operate independently or be integrated. Each module provides specific functionality (backup, archive, virtual machine management) and can be selectively docked with the full-featured system based on organizational needs, allowing gradual adoption rather than requiring complete system replacement.
Solution Approach 2:
The full-featured data management system is designed with universal docking capabilities that allow it to integrate with multiple types of limited-feature modules through standardized interfaces. The system can perform multiple functions by combining its core capabilities with various specialized modules, making it adaptable to diverse data management requirements without requiring separate specialized systems.
2Loss of energy
If limited_feature data management modules are used, then resource consumption and cost are reduced, but integration capability and feature completeness deteriorate
Solution Approach 1:
The patent enables merging of limited-feature modules with the full-featured data management system through docking mechanisms. When modules are docked, their metadata and data are integrated into the unified system framework, allowing them to work together seamlessly. This combining approach preserves the resource efficiency of limited modules while gaining the integration capabilities of the comprehensive system.
Solution Approach 2:
The full-featured data management system acts as an intermediary that mediates between multiple limited-feature modules. It provides standardized interfaces and protocols that enable modules from different vendors or with different capabilities to communicate and integrate smoothly, solving the integration problem without requiring direct module-to-module connections.
3Ease of manufacture
If multiple limited_feature applications are deployed piecemeal, then initial resource requirements are reduced, but transition difficulty and integration challenges increase
Solution Approach 1:
The patent implements preliminary action by designing limited-feature modules with pre-built docking interfaces and metadata structures that are compatible with the full-featured system from the outset. This preliminary preparation of integration mechanisms eliminates the need for complex custom integration work during transition, making the migration path straightforward and reducing operational difficulties.
Data Source
AI summary
Software, firmware, and systems are described herein that permit an organization to dock previously-utilized, limited-feature data management modules with a full-featured data management system. By docking limited-feature data management modules to a full-featured data management system, metadata and data from the various limited-feature data management modules can be integrated and utilized more efficiently and effectively. Moreover, additional data management features can be provided to users after a more seamless transition.