Intelligent Resource Autostopping for Cloud Cost Reduction
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Solution Overview
Problem
Cloud computing service providers charge customers for resources even when they are idle, leading to unnecessary costs.
Innovation Solution
An intelligent shutdown system that detects idle resources and shuts them down based on configured rules, redirecting traffic to a proxy machine and restarting resources as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are kept running continuously to ensure immediate availability, then service reliability is improved, but resource cost increases due to charging for idle time
Solution Approach 1:
The system dynamically adjusts resource states between running and stopped based on real-time traffic conditions. Resources are kept running when traffic is detected and stopped when idle, creating a dynamic adaptation to workload demands rather than static continuous operation
Solution Approach 2:
A proxy machine serves as an intermediary between clients and backend resources. When resources are stopped, the proxy machine receives client requests and forwards them to the resource group, enabling seamless traffic redirection without requiring resources to remain continuously running
2Loss of energy
If resources are stopped to reduce costs during idle periods, then resource cost decreases, but service availability deteriorates until resources are restarted
Solution Approach 1:
The system performs preliminary actions by pre-warming resource groups before traffic arrives. When traffic is detected at the proxy machine, the system proactively starts the resource group in advance, ensuring resources are ready before actual service demands occur
Solution Approach 2:
The system implements feedback mechanisms by monitoring traffic patterns and using this information to automatically control resource states. The proxy machine detects traffic and sends feedback signals to start or stop resource groups, creating a closed-loop control system that adapts to actual usage patterns
3Loss of energy
If traffic redirection to proxy machine is implemented when resources are stopped, then resource cost is reduced, but system complexity increases due to additional traffic management logic
Solution Approach 1:
The proxy machine acts as a simplified intermediary that handles all traffic management logic centrally. Rather than implementing complex logic in each resource or client, the proxy machine provides a single point of control for traffic redirection, resource state management, and coordination
Solution Approach 2:
The proxy machine performs multiple functions including traffic reception, resource state monitoring, automatic resource group management, and client communication. This multi-functional design consolidates complexity into a single component rather than distributing it across multiple systems
Data Source
AI summary
A system that provides intelligent shutdown of a resource when the resource is idle for a set period of time. A set of rules may be configured to determine when to shut down the resource, in what order, how to handle traffic when a resource is shut down, and how to startup resources that have been previously shut down when demand requires it. In addition to setting an idle time at which point to shut down the resource, the type of shutdown may be configured. Dependencies may be configured, which indicate how the resource should be shut down or powered up with respect to other resources. A user interface may be used to configure rules, and a dashboard may be provided to see the current status and cost savings information for a set of resources for a system.