Dynamic Low Latency Optimization for Mobile Systems
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Solution Overview
Problem
Current processor-based systems, especially mobile devices, face performance degradation due to limited resources when running multiple applications concurrently, leading to perceptible latencies in applications requiring low latency environments, such as VR and AR, as existing low latency optimization techniques are static, not resource-oriented, and lack dynamic enablement/disabling capabilities.
Innovation Solution
A dynamic low latency optimization system that configures low latency operation from the hardware layer up to the application level, using process resolver and optimization engine modules to obtain information about application services and hardware, enabling or disabling low latency mode on an application-by-application basis, optimizing CPU core partitioning, scheduling, and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple applications are run concurrently on processor-based platforms with limited hardware resources, then application functionality and versatility are improved, but system performance and latency are degraded
Solution Approach 1:
The system dynamically adjusts latency optimization settings based on real-time application requirements and system state. The dynamic latency optimization module monitors running applications and automatically enables or disables low-latency modes, adjusting CPU scheduling policies, interrupt handling priorities, and buffer sizes according to the specific needs of each application without requiring manual reconfiguration.
Solution Approach 2:
The patent applies latency optimization locally to specific applications rather than globally to the entire system. Each application can receive tailored optimization settings based on its latency sensitivity requirements, allowing time-critical applications to receive aggressive optimization while less sensitive applications maintain normal system behavior, thus resolving the contradiction between versatility and latency.
2Loss of time
If static low latency optimization techniques are applied to the system, then latency performance is improved for certain applications, but the system loses adaptability to different application requirements and dynamic conditions
Solution Approach 1:
The system transitions from static to dynamic optimization by implementing real-time monitoring and adjustment mechanisms. The dynamic latency optimization module continuously evaluates system state and application requirements, enabling the system to adapt latency optimization settings dynamically rather than relying on pre-configured static settings, thus maintaining both low latency and high adaptability.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors application performance metrics and system state, then uses this information to adjust latency optimization settings. The dynamic latency optimization module receives feedback from application performance data and system resource utilization, automatically tuning optimization parameters to maintain low latency while adapting to changing conditions.
3Loss of time
If low latency mode is enabled system-wide, then latency-sensitive applications achieve better performance, but system overhead increases and other applications may be unnecessarily optimized
Solution Approach 1:
The patent applies latency optimization selectively to specific applications rather than enabling it system-wide. The dynamic latency optimization module identifies which applications require low-latency performance and applies optimization only to those applications, leaving other applications to run with normal system settings, thus reducing unnecessary system overhead and energy consumption.
Solution Approach 2:
The system applies partial optimization by enabling low-latency mode only for the duration and scope necessary. Rather than maintaining aggressive optimization continuously across the entire system, the dynamic latency optimization module enables optimization partially and temporarily only when and where it is needed, reducing overall system overhead while maintaining performance for latency-sensitive applications.
Data Source
AI summary
Systems and methods which provide low latency optimization configured to perform from the hardware layer across the operating system to an application. Low latency operation implemented in accordance with embodiments is optimized for a specific application, which interfaces with specific hardware, executing on a host processor-based system configured for low latency optimization according to the concepts herein. For example, a low latency optimization implementation may comprise various modules implemented in both the user space and Kernel space, wherein the modules cooperate to obtain information regarding the services and hardware utilized by an application and to provide such information for facilitating low latency operation with respect to the application. In operation according to embodiments, low latency operation is dynamically enabled or disabled by a low latency optimization implementation, such as to facilitate low latency operation on an application by application basis as appropriate or as desired.