Lab Environment Manager for Cloud Resource Conflict Resolution
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Solution Overview
Problem
Managing shared resources across multiple projects in an enterprise becomes unmanageable as the number and size of projects increase, leading to challenges in allocating resources effectively, which can result in increased costs, reduced quality, and delayed delivery.
Innovation Solution
The Lab Environment Manager (LEM) system allows for on-demand reservation and management of environments comprising various resources such as hardware, software, data, and communications capacity, enabling the abstraction of physical locations and prioritization of resource allocation based on project requirements, using a scheduler/conflict manager to resolve conflicts and substitute resources when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual resource allocation methods are used across multiple projects, then flexibility in resource assignment is maintained, but management complexity and time consumption increase significantly
Solution Approach 1:
The patent introduces an automated resource management system that acts as an intermediary between projects and resources. This system includes a resource manager that receives project requirements, evaluates resource availability, and automatically allocates resources according to predefined policies, eliminating the need for manual coordination while maintaining flexibility through configurable allocation rules.
Solution Approach 2:
The patent replaces manual resource allocation mechanisms with an automated computational system. The system uses software-based resource managers, schedulers, and conflict resolution algorithms to substitute human manual processes, thereby reducing management complexity while maintaining or improving adaptability through automated decision-making based on project priorities and resource constraints.
2Productivity
If more resources are allocated to support increasing number of projects, then project delivery capability improves, but resource allocation complexity and costs increase
Solution Approach 1:
The patent implements dynamic resource allocation where the system continuously monitors project progress, resource utilization, and changing requirements. The resource manager dynamically adjusts resource assignment in real-time based on current project priorities and availability, allowing the system to scale resource usage efficiently with project needs without requiring static over-provisioning that would increase complexity.
Solution Approach 2:
The patent changes the parameters of resource allocation from fixed manual assignments to dynamically adjustable parameters controlled by the automated system. The resource manager can modify allocation parameters such as resource quantity, assignment timing, and priority levels based on real-time project conditions, enabling scalable resource support for increasing project numbers without proportionally increasing management complexity.
3Productivity
If automated resource management systems are implemented, then allocation efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the resource management system into modular functional components including a resource manager module, a scheduler module, a conflict resolution module, and a reporting module. Each module performs a specific function and can be independently configured and maintained. This segmentation allows the system to achieve high allocation efficiency through specialized automated processing while managing complexity through modular architecture that simplifies implementation and maintenance.
Data Source
AI summary
Apparatus, systems, and methods may operate to receive time-based reservation requests for predefined resource environments comprising resource types that include hardware, software, and data, among others. Additional activities may include detecting a conflict between at least one of the resource types in a first one of the predefined resource environments and at least one of the resource types in a second one of the predefined resource environments, and resolving the conflict in favor of the first one of the predefined resource environments by reserving additional resource elements in a cloud computing architecture and/or reserving a less capable version of the second one of the predefined resource environments. Additional apparatus, systems, and methods are disclosed.