Microsoft technology licensing, llc (20240345952). GARBAGE COLLECTION IN CONSTRAINED LOCAL ENVIRONMENTS simplified abstract

GARBAGE COLLECTION IN CONSTRAINED LOCAL ENVIRONMENTS

Organization Name

microsoft technology licensing, llc

Inventor(s)

Maoni Zhang Stephens of Kirkland WA (US)

Brendan Davis Burns of Seattle WA (US)

GARBAGE COLLECTION IN CONSTRAINED LOCAL ENVIRONMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345952 titled 'GARBAGE COLLECTION IN CONSTRAINED LOCAL ENVIRONMENTS

Simplified Explanation: The patent application describes a method to control garbage collection priority based on local and global memory pressures in a computing environment.

Key Features and Innovation:

• Garbage collection priority is determined by both local memory pressure within a container or isolation unit, and global memory pressure across the entire machine.
• Each isolation unit and the machine itself have low and high memory pressure thresholds that influence garbage collection execution priority.
• By optimizing garbage collection timing and performance based on both local and global memory pressures, the efficiency of garbage collection is improved, especially in memory overcommitment scenarios.

Potential Applications: This technology can be applied in cloud computing environments, virtual machines, and containerized applications to efficiently manage memory resources and improve overall system performance.

Problems Solved:

• Efficient garbage collection in memory-constrained environments.
• Optimizing memory usage in virtualized systems.
• Improving system performance in memory overcommitment scenarios.

Benefits:

• Enhanced garbage collection efficiency.
• Better utilization of memory resources.
• Improved system performance and stability.

Commercial Applications: This technology can be utilized in cloud service providers, virtualization platforms, and container orchestration systems to optimize memory management and enhance overall system performance.

Prior Art: Prior research in memory management algorithms and garbage collection techniques in virtualized environments may provide insights into similar approaches to optimizing memory usage.

Frequently Updated Research: Stay updated on the latest advancements in memory management algorithms, garbage collection strategies, and virtualization technologies to enhance the efficiency of memory resource utilization.

Questions about Memory Pressure-Based Garbage Collection: 1. How does the combination of local and global memory pressures impact garbage collection priority? 2. What are the potential challenges in implementing memory pressure-based garbage collection in complex computing environments?

Original Abstract Submitted

embodiments control garbage collection priority based on both a local memory pressure and a global memory pressure. the local pressure represents volatile memory usage in a container or other isolation unit residing on a machine, and the global pressure represents volatile memory usage in the machine overall. the machine is a device or a virtual machine containing one or more isolation units. each isolation unit has a low threshold and a high threshold, and the machine has its own low threshold and its own high threshold. garbage collection execution priority is set to low, normal, or high, depending on the memory pressures and the thresholds. by basing garbage collection timing and performance on both local pressure and global pressure, embodiments optimize garbage collection efficiency, especially in memory overcommitment scenarios.