Adaptive I/O Throttling for Virtual Machine Latency Control
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Solution Overview
Problem
In virtual computing systems, resource contention issues such as 'AV storms' (simultaneous security scans) lead to substantial workloads, causing delays and performance losses, as existing resource management systems may incur performance overhead or require tedious manual coordination among virtual machines.
Innovation Solution
Implementing adaptive throttling mechanisms that monitor input/output requests, determine latency thresholds, and adjust the rate of these requests to prevent overload, allowing virtual machines to independently manage their resource usage without coordinating with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple virtual machines simultaneously perform security scans (AV storm), then each virtual machine can independently maintain its security functionality, but the overall system experiences substantial workload and performance degradation
Solution Approach 1:
The system monitors I/O latency metrics from storage operations and uses this feedback to dynamically adjust the throttling of security scan operations. When latency exceeds a threshold, the system reduces the rate of I/O requests from security applications, and when latency falls below the threshold, operations are resumed, creating a closed-loop control system that balances security needs with system performance
Solution Approach 2:
The system dynamically adjusts the throttling level of security scan operations based on real-time I/O latency conditions. Rather than using fixed thresholds or static rate limiting, the system continuously adapts the operation rate according to current system state, allowing security scans to proceed at full speed when resources are available and automatically slowing them down when latency indicates resource contention
2Productivity
If resource management systems attempt to mitigate performance loss through coordination mechanisms, then system performance can be improved during resource contention, but the systems incur performance overhead or require tedious manual configuration
Solution Approach 1:
Each virtual machine is equipped with autonomous resource management capabilities that allow it to independently monitor its own I/O latency and self-regulate its security scan operations. The system does not require centralized coordination or inter-VM communication - each VM acts as its own resource manager, detecting latency conditions and adjusting its operation rate independently based on local observations and pre-configured policies
Solution Approach 2:
The resource management functionality is segmented and distributed to individual virtual machines rather than being centralized. Each VM runs its own latency monitoring and throttling control logic independently, eliminating the need for complex inter-VM coordination protocols and reducing the overhead associated with centralized resource management systems
3Reliability
If the rate of input/output requests is reduced to prevent overload, then system stability is maintained, but the productivity of applications such as security scans is reduced
Solution Approach 1:
The system uses periodic monitoring of I/O latency metrics to determine when to throttle and when to resume operations. Rather than continuously throttling or using fixed-rate limiting, the system periodically checks latency conditions and adjusts operation rates accordingly, allowing applications to proceed in bursts when conditions permit while maintaining stability through controlled pauses when latency exceeds thresholds
Data Source
AI summary
A computer-implemented method for adaptive throttling of input/output requests in a virtual environment may include (1) monitoring input/output requests sent from a virtual machine to a storage system, (2) determining a latency of one or more of the monitored input/output requests, (3) determining that the latency exceeds a threshold, and (4) reducing, in response to determining that the latency exceeds the threshold, a rate at which an application on the virtual machine sends input/output requests to the storage system. Various other methods, systems, and computer-readable media are also disclosed.