Cloud Resource Reclamation Using Lifecycle Event Sequencing
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Solution Overview
Problem
Cloud computing systems face challenges in gracefully shutting down resources to prevent data loss and disruptions during reclamation, particularly in complex deployments across multiple regions, which can generate significant network traffic and consume resources.
Innovation Solution
Implementing a resource reclamation service that automatically processes dependencies and performs graceful shutdowns in a decentralized manner, using a rolling event log to ensure dependencies are respected, allowing for a reversible intermediate suspend state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If cloud computing resources are distributed across multiple regions to reduce latency and improve user experience, then user experience and system performance are improved, but network traffic and resource consumption during reclamation increase
Solution Approach 1:
The reclamation process is segmented into multiple lifecycle stages (suspend, terminate, reclaim) that can be executed independently across different regions. Each region can suspend resources locally without coordinating with other regions, reducing the need for cross-region network traffic during reclamation operations.
Solution Approach 2:
Resources are suspended in advance before full reclamation occurs. This preliminary suspend action allows resources to be staged for reclamation without immediately triggering full termination procedures, enabling gradual resource release and reducing peak network traffic during the reclamation process.
2Adaptability or versatility
If a complex interconnected deployment of cloud computing resources is used to provide comprehensive services, then service capability and versatility are improved, but determining dependencies and performing graceful shutdowns becomes more challenging
Solution Approach 1:
The system implements feedback mechanisms where resources publish their dependency information and lifecycle event states to a centralized event log. Other resources can query this log to determine appropriate shutdown sequences, automatically adjusting the reclamation process based on actual dependency relationships without requiring manual configuration.
Solution Approach 2:
Resources automatically manage their own shutdown sequences by querying the event log for dependency information and executing appropriate lifecycle actions. Each resource independently determines when it should be suspended or terminated based on the states of dependent resources, eliminating the need for centralized dependency orchestration.
3Productivity
If resources are permanently reclaimed to free up hardware for other uses, then resource utilization efficiency is improved, but the ability to recover and resume resources is lost
Solution Approach 1:
The system implements a staged reclamation process where resources are first suspended rather than immediately discarded. This allows resources to be recovered if needed by resuming from the suspended state. Only after the suspend timeout expires without resumption do resources proceed to full termination and hardware reclamation, ensuring maximum opportunity for resource recovery before permanent release.
Data Source
AI summary
A computer-implemented method includes receiving, at a resource reclamation service, a first event of a first lifecycle type for a tenant of a cloud computing environment; identifying, at the resource reclamation service, a lifecycle sequence indicating a sequence of lifecycle types to occur for initiating a set of reclamation actions, where the lifecycle sequence indicates that a second lifecycle type occurs immediately preceding the first lifecycle type, with no other intervening lifecycle types; accessing, at the resource reclamation service, an event log to determine whether a second event of the second lifecycle type occurs immediately preceding the first event of the first event type; and initiating, at the resource reclamation service, a set of reclamation actions for computing resources of the tenant in response to determining that the second event of the second lifecycle type occurs immediately preceding the first event of the first event type.