Cloud Scheduling Server for Public Safety Resource Reservations
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Solution Overview
Problem
Public safety organizations face challenges in ensuring guaranteed cloud computing resources during public safety incidents due to unpredictable demand, where auto-scaling may fail to provide necessary resources when needed, and reserving maximum resources in advance significantly increases costs.
Innovation Solution
A scheduling server that monitors events outside the cloud-based communication system to determine incident occurrences and allocates cloud computing resources, allowing for dynamic adjustment and guaranteed resource availability, while optimizing costs by releasing excess resources when demand decreases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maximum resources are reserved in advance for public safety incidents, then resource availability is guaranteed, but cost significantly increases
Solution Approach 1:
The patent implements dynamic resource reservation that adjusts resource allocation based on real-time incident characteristics, severity levels, and actual demand. The system transitions from static maximum reservation to dynamic adjustment, reserving resources proportionally to incident needs while maintaining guaranteed availability thresholds, thereby reducing wasted resource reservation and cost.
Solution Approach 2:
The system changes reservation parameters (resource quantity, duration, type) based on incident parameters (severity, type, location, expected duration). Different incident scenarios trigger different reservation levels, allowing the system to optimize between guaranteeing availability and minimizing cost by matching reservation parameters to actual incident requirements.
2Loss of energy
If auto-scaling is used to address changing demand, then cost is optimized, but resource availability cannot be guaranteed when needed
Solution Approach 1:
The system performs preliminary resource reservation based on predicted incident demand and historical data before incidents occur or at incident onset. By pre-reserving resources based on incident characteristics rather than waiting for demand to materialize, the system guarantees availability while reserving only what is predicted to be needed, avoiding both auto-scaling failures and excessive reservation.
Solution Approach 2:
The system implements feedback loops that monitor actual resource consumption during incidents and adjust future reservation decisions. By learning from past incident patterns and actual demand vs. reservation ratios, the system continuously optimizes reservation algorithms to better predict needed resources, improving both availability guarantees and cost efficiency over time.
Data Source
AI summary
Scheduling resource reservations in a cloud based communications system. One embodiment provides a scheduling server for scheduling resource reservation in a cloud-based communication system. The scheduling server includes an electronic processor configured to monitor events outside of the cloud-based communication system to determine an occurrence of an incident and determine cloud computing resources to be allocated to consuming communication devices assigned to respond to the incident. The electronic processor is also configured to reserve the cloud computing resources such that the cloud computing resources are available to the consuming communication devices for responding to the incident.