Hierarchical Resource Tree Partitioning for Lock-Free Allocation
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Solution Overview
Problem
Current computing systems face inefficiencies in resource allocation and deallocation due to the reliance on locking mechanisms, which can lead to bottlenecks and slow access to resources for clients.
Innovation Solution
The system partitions a hierarchical resource tree into multiple disjoint sets, allowing clients to be assigned to specific partitions where resources are allocated without the need for hardware or software locks, enabling dynamic or static client-partition mapping and rebalancing based on usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If locking mechanisms are used to allocate resources, then resource exclusivity is ensured, but access speed decreases and bottlenecks occur
Solution Approach 1:
The patent segments the resource allocation system by introducing separate allocation agents for different resource types (e.g., CPU, memory, storage). Each allocation agent independently manages its own resource pool without requiring global locking mechanisms, thereby maintaining resource exclusivity while eliminating bottlenecks that would arise from centralized lock-based control.
Solution Approach 2:
The patent introduces allocation agents as intermediary components between clients and the resource pool. These agents act as mediators that handle allocation requests locally without requiring clients to acquire locks on shared resources, thus ensuring exclusive access while improving access speed by eliminating the need for lock acquisition and release operations.
2Device complexity
If locking mechanisms are used for resource allocation, then resource management is simplified, but system performance degrades due to bottlenecks
Solution Approach 1:
The system divides the resource management function into separate allocation agents, each responsible for a specific resource type. This segmentation allows each agent to manage its resources independently without requiring complex global synchronization mechanisms, thereby maintaining manageable complexity while significantly improving system performance by eliminating lock-based bottlenecks.
Solution Approach 2:
The patent employs multiple allocation agents that can operate in parallel, effectively copying the allocation function across different resource types. This allows concurrent allocation operations without interference, improving productivity while keeping each individual agent's complexity low since they manage disjoint resource sets independently.
3Productivity
If hierarchical resource tree is partitioned into multiple partitions, then concurrent allocation to multiple clients is enabled, but system complexity increases
Solution Approach 1:
The patent segments the hierarchical resource tree into multiple independent partitions, each managed by a dedicated allocation agent. This segmentation enables concurrent allocation to multiple clients operating on different partitions simultaneously, improving productivity. The complexity is managed by keeping each partition small and independent, so that each allocation agent operates on a simplified, manageable subset of resources.
Solution Approach 2:
The patent introduces a new dimensional organization by partitioning resources along hierarchical levels. Instead of a single flat resource pool, the system organizes resources into multiple hierarchical partitions (e.g., by resource type, by allocation agent), enabling concurrent operations across different dimensions while maintaining manageable complexity through structured organization.
Data Source
AI summary
A method for resource management includes receiving, from a client, an allocation request for a resource, and assigning, to the client, a partition of a hierarchical resource tree. The partition is in multiple partitions of the hierarchical resource tree. The method further includes identifying a deallocated resource in the partition, and allocating, to the client, the first deallocated resource from the partition to create an allocated resource.