Cloud Resource Schedule Modification for Maintenance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cloud-based systems are inefficient for maintenance as they often shut down during low activity periods, requiring users to manually locate and restart them, which is time-consuming and disruptive.
Innovation Solution
A web-based user interface allows users to search for and manage cloud-based resources, enabling them to modify operating schedules to keep resources awake during maintenance, with options for indefinite or timed modifications and automatic schedule restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If cloud-based systems are scheduled to shut down during periods of low activity, then energy consumption is reduced, but maintenance operations become disrupted and require manual intervention
Solution Approach 1:
The system performs preliminary actions by automatically detecting maintenance events and preemptively adjusting the operating schedule to keep the cloud-based system awake during the maintenance window. The operating schedule is modified in advance to prevent shutdown during the scheduled maintenance period, ensuring the system remains available for maintenance operations without requiring manual intervention.
Solution Approach 2:
The system implements self-service by automatically detecting maintenance events and adjusting its own operating schedule without human intervention. The cloud-based system autonomously identifies when maintenance is scheduled and modifies its wake/sleep schedule accordingly, eliminating the need for manual schedule adjustments by operators.
2Ease of repair
If users manually locate and turn on cloud-based systems for maintenance, then maintenance can be performed, but time is lost and efficiency is reduced
Solution Approach 1:
The cloud-based system performs self-service by automatically detecting maintenance events and adjusting its own operating schedule. The system autonomously identifies when maintenance is scheduled and modifies its wake/sleep schedule accordingly, eliminating the need for manual schedule adjustments by operators and reducing the time required to prepare for maintenance.
Solution Approach 2:
The system uses feedback from maintenance event detection to automatically adjust its operating schedule. When a maintenance event is detected, the system receives feedback about the scheduled maintenance window and responds by modifying its wake/sleep schedule to remain awake during that period, ensuring availability for maintenance without manual intervention.
3Productivity
If cloud-based systems automatically turn off according to set schedules, then resource utilization is optimized, but maintenance operations may be interrupted
Solution Approach 1:
The system takes preliminary action by detecting maintenance events in advance and proactively adjusting the operating schedule to prevent shutdown during the maintenance window. This preliminary adjustment ensures that the system remains awake and available for maintenance operations without interrupting the overall optimized wake/sleep schedule.
Solution Approach 2:
The operating schedule is made dynamic by automatically adjusting wake/sleep times based on detected maintenance events. The system can modify its schedule in real-time to accommodate maintenance needs while maintaining optimized resource utilization during non-maintenance periods, creating a flexible and adaptive operating schedule.
Data Source
AI summary
Techniques for managing cloud-based systems are provided. A user provides search criteria for cloud-based resources through a web-based user interface. A search for the cloud-based resources is conducted based on the search criteria. The web-based interface displays a listing of cloud-based resources matching the search criteria. The user provides an input indicating a request to keep awake a first cloud-based resource. In response, the web-based interface copies an original operating schedule for the first cloud-based resource into a first tag and modifies the original operating schedule contained within a second tag to form a modified operating schedule to cause the cloud-based resource to keep awake. The user can restore the original operating schedule when desired. Alternatively, the web-based interface can automatically restore the original operating schedule when a predetermined time period expires.