Multi-Cluster Pod Routing for Carbon-Aware SLA Compliance
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Solution Overview
Problem
Current multi-cluster systems do not consider carbon emissions when managing pods and routing requests, leading to inefficiencies in carbon footprint and potential service level agreement violations.
Innovation Solution
Implement a computer-implemented method that determines whether a pod on a node meets a carbon intensity threshold without violating a service level agreement, and assigns requests to pods that either meet the threshold or do not exceed the agreement violation, while considering carbon emissions during pod scheduling and rescheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If requests are routed to pods based on traditional load balancing methods, then service availability and response time are maintained, but carbon footprint is not optimized
Solution Approach 1:
The patent modifies the traditional load balancing parameters by introducing carbon intensity as a new dimension for pod selection. The system evaluates multiple parameters including carbon intensity, service level agreement compliance, and pod availability simultaneously, transforming the routing decision from a single-parameter to a multi-parameter optimization problem that balances environmental impact with service requirements.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring carbon intensity data from nodes and using this information to dynamically adjust request routing decisions. The feedback loop ensures that routing choices are based on real-time carbon intensity measurements while maintaining compliance with service level agreements, enabling adaptive optimization of carbon footprint.
2Object-affected harmful factors
If pods on nodes with lower carbon intensity are selected, then carbon footprint is reduced, but service level agreement violations may occur
Solution Approach 1:
The patent applies dynamic evaluation by continuously assessing the impact of routing decisions on both carbon footprint and service level agreement compliance. The system dynamically adjusts routing choices based on real-time conditions, selecting pods that optimize carbon intensity while ensuring SLA compliance through ongoing monitoring and adaptive decision-making rather than static routing rules.
Solution Approach 2:
The system allows partial compliance with carbon intensity optimization by enabling SLA violations within acceptable thresholds when necessary to meet carbon reduction goals. The patent implements a threshold-based approach where minor SLA violations are permitted if they result in significant carbon footprint reduction, balancing environmental objectives with service reliability requirements.
3Object-affected harmful factors
If carbon intensity threshold is strictly enforced, then carbon footprint is optimized, but pod availability is reduced
Solution Approach 1:
The system dynamically adjusts carbon intensity thresholds based on operational conditions, pod availability, and service level agreement requirements. Rather than enforcing a fixed threshold, the system adapts the threshold values in real-time to optimize the balance between carbon reduction and request processing capacity, allowing flexible interpretation of carbon constraints based on current system state.
Solution Approach 2:
The patent modifies the strictness of carbon intensity constraints by introducing configurable threshold parameters that can be adjusted based on operational needs. The system changes the parameter values of carbon intensity thresholds dynamically, allowing less strict enforcement during periods of high pod availability and more strict enforcement when carbon optimization is prioritized, thereby optimizing the trade-off between environmental impact and productivity.
Data Source
AI summary
A computer implemented method for assigning a request in a multi-cluster system. A processor set receives the request for processing by the multi-cluster system. The processor set determines whether a first pod on a node meeting a carbon intensity threshold is available to process the request without a service level agreement violation over a violation threshold. The processor set assigns the request to the first pod on the node meeting the carbon intensity threshold in response to the first pod being available and a service level agreement violation over the violation threshold being absent. The processor set assigns the request to a second pod that does not result in a service level agreement violation over the violation threshold in response to a service level agreement violation being present for assigning the request to the first pod.