Location-Based Cloud Resource Activation
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Solution Overview
Problem
Manual processes for activating and deactivating cloud-based resources are inefficient and error-prone, requiring users to perform multiple steps such as starting/stopping web servers, logging into databases, and deploying virtual images, which can be cumbersome and prone to errors.
Innovation Solution
A system that receives user preferences including geographic points of interest, associations of resources with these points, and contexts, implementing a listening service to determine user location and activate/deactivate resources accordingly, allowing for automated instantiation and de-allocation of resources based on user movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to activate and deactivate cloud-based resources, then users have direct control over resource management, but the process becomes inefficient and error-prone
Solution Approach 1:
The system automatically activates and deactivates cloud-based resources based on user location detection, eliminating the need for manual intervention. The listening service continuously monitors user position and triggers resource activation/deactivation automatically, making the system self-managing and reducing both errors and operational complexity
Solution Approach 2:
The system implements a feedback mechanism where the listening service continuously provides location information to the resource management system. This closed-loop feedback enables automatic decision-making for resource activation and deactivation based on real-time user position, improving reliability while simplifying operation
2Productivity
If multiple manual steps are required for resource activation, then users can precisely control each resource, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The system performs preliminary actions by pre-configuring resource activation rules and associations with geographic points of interest. When a user approaches a designated location, the system has already prepared the activation parameters, enabling instant resource deployment without manual configuration steps, thus increasing productivity while minimizing time loss
3Extent of automation
If automated location-based activation is implemented, then resource management efficiency improves, but system complexity increases
Solution Approach 1:
The listening service is designed as a universal component that handles multiple functions: location tracking, user identification, resource association management, and activation triggering. This multi-functional design consolidates what would otherwise be separate complex systems into a single unified service, achieving high automation while managing overall system complexity
Data Source
AI summary
Embodiments of the present invention provide an approach for invocation and de-allocation of networked-based resources (e.g., cloud-based resources) based on users' geographic movements. Specifically, in a typical embodiment, a set (one or more) of user preferences are received. Such preferences can include: a set of geographic points of interest, a set of users, associations of a set of resources (e.g., services, applications, etc.) of the set of users with the set of geographic points of interest, and/or contexts associated with the set of geographic points of interest. A listening service may then be implemented for the set of resources to determine a location of the set of users. Based on the location and the associations of the set of resources with the set of geographic points of interest, at least one of the set of resources may then be activated.