Parallel Filesystem Traversal Using LIFO Job Queue

The patent divides the filesystem traversal task into multiple independent sub-tasks that can be executed in parallel. Each job executor handles a portion of the filesystem nodes, allowing simultaneous processing of different directory trees or file sets. This segmentation enables the system to overcome network latency by keeping multiple executors busy with different tasks rather than having a single executor idle waiting for responses.

The patent transitions from sequential single-threaded traversal to parallel multi-threaded traversal by adding the dimension of concurrency. Multiple job executors operate simultaneously on different portions of the filesystem, effectively utilizing multiple CPU cores and network connections. This dimensional change from 1D sequential processing to 2D parallel processing dramatically increases throughput while the job queue manages the complexity.

The job queue serves multiple functions: it acts as a task distributor, a synchronization barrier, and a buffer between producers and consumers. This universal component manages the complexity of coordinating multiple job executors while enabling them to work independently. The same job queue structure handles task assignment, progress tracking, and completion signaling, reducing the need for separate management mechanisms.

Each job executor is self-sufficient, independently pulling tasks from the job queue, executing them, and reporting completion without requiring direct coordination with other executors. This self-service approach minimizes inter-executor communication and synchronization overhead. The executors autonomously manage their own task queues and processing states, reducing the overall system complexity while maintaining high productivity.