Multitenant Job Limit Enforcement for GPU Quality of Service
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Solution Overview
Problem
Multitenant distributed computing systems face performance issues and quality of service (QoS) degradation when individual tenants exceed resource limitations, leading to resource unavailability for other tenants.
Innovation Solution
Implementing configuration and multi-level enforcement of tenant-, engine-, and job type-specific restrictions on job submissions in a multitenant environment, using a combination of host-side virtualization-enabled GPU drivers, kernel-mode drivers, user-mode drivers, and scheduling circuits to manage and enforce these restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual tenants are allowed to exceed resource limitations, then resource utilization flexibility is improved, but quality of service deteriorates and resources become unavailable for other tenants
Solution Approach 1:
The system performs preliminary actions by establishing resource limits and enforcement mechanisms before tenants can exceed them. The job limit enforcement mechanism pre-configures maximum resource allocation thresholds and automatically enforces them, preventing QoS degradation before it occurs rather than reacting after the problem arises.
Solution Approach 2:
The patent introduces an intermediary enforcement mechanism between the tenant applications and the shared computing resources. This intermediary layer monitors resource consumption, validates job submissions against configured limits, and enforces restrictions, thereby mediating between the need for flexible resource utilization and the requirement to maintain reliable QoS for all tenants.
2Reliability
If resource limits are enforced to maintain QoS, then quality of service is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The system implements dynamic resource management where job limits are enforced based on configurable parameters that can be adjusted without system downtime. The enforcement mechanism dynamically evaluates each job submission against current resource state and tenant-specific limits, allowing optimal resource utilization while maintaining QoS. This dynamic approach prevents both over-utilization and under-utilization of resources.
Solution Approach 2:
The patent utilizes parameter changes by allowing flexible configuration of job submission limits, resource thresholds, and enforcement policies. These parameters can be modified to optimize the balance between QoS guarantees and resource utilization efficiency based on changing system conditions and tenant requirements, without requiring fundamental system changes.
3Reliability
If multi-level enforcement is implemented to prevent resource overutilization, then quality of service is improved, but system complexity increases
Solution Approach 1:
The enforcement mechanism is segmented into distinct functional components: job submission validation, resource consumption monitoring, limit enforcement, and violation handling. Each component operates independently with a specific function, making the overall complex system manageable through modular design. This segmentation allows the multi-level enforcement to maintain QoS while keeping system complexity organized and controllable.
Solution Approach 2:
The system implements self-service capabilities where the enforcement mechanism automatically monitors resource usage, validates submissions against limits, and enforces restrictions without requiring manual intervention. The system self-regulates resource allocation and automatically handles violations, reducing operational complexity despite the sophisticated enforcement logic.
Data Source
AI summary
Systems and methods are provided related to a scheduler to receive a job request from a virtual function associated with a tenant for execution by at least one processing unit. The scheduler validates the job request in accordance with one or more defined restrictions associated with the tenant and, responsive to successful validation, provides the job request for execution by the processing unit via one or more physical functions associated with the processing unit. In certain embodiments, multi-level enforcement of the defined restrictions are provided via user-mode and kernel-mode drivers associated with the virtual function that are also enabled to validate job requests based on the defined restrictions.