Parallel Tree Data Structure Scanning Service
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Solution Overview
Problem
Contemporary cloud-based data storage systems face inefficiencies in resource usage due to independent scanning of large tree data structures by multiple processes, leading to redundant operations and increased resource consumption.
Innovation Solution
Implementing a tree scanning service that allows multiple processes to share a single scanner, enabling parallel scanning of tree elements by starting scans from intermediate points, thereby reducing redundant operations and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple processes independently scan the tree data structure, then each process can complete its scanning task, but resource consumption increases significantly due to redundant operations
Solution Approach 1:
Multiple independent tree scanning processes are merged into a single shared scanner that serves all processes. The scanner is a common resource that all processes can utilize, eliminating redundant scanning operations. When one process requests a tree scan, the scanner is allocated to that process; when another process needs scanning, it shares the same scanner if available or waits for it to become free.
Solution Approach 2:
The tree scanner is designed as a universal resource that can serve multiple different processes for various scanning purposes. Instead of having dedicated scanners for each process, a single multi-functional scanner handles scanning requests from any process that needs to traverse the tree data structure, making the system more resource-efficient.
2Use of energy by moving object
If multiple processes wait for tree scan coordination, then resource consumption is reduced, but the start time of system processes is delayed
Solution Approach 1:
The scanner allocation system is dynamic rather than static. Processes can acquire the scanner when it becomes available through events like process completion or voluntary release, allowing flexible start times without rigid coordination overhead. This dynamic allocation reduces waiting time compared to traditional coordination mechanisms while still preventing redundant scanning.
Solution Approach 2:
Processes can request the scanner in advance or set up event-driven notifications to be alerted when the scanner becomes available. This preliminary action allows processes to prepare for scanning operations without immediately blocking execution, reducing the perceived wait time while still ensuring efficient resource utilization when scanning actually occurs.
3Use of energy by moving object
If a single scanner is shared by multiple processes, then resource consumption is minimized, but the complexity of scanner management increases
Solution Approach 1:
The scanner management system operates autonomously without requiring complex external coordination. When a process completes its scanning or releases the scanner, the system automatically makes the scanner available to the next waiting process through event-driven mechanisms. This self-service approach simplifies management compared to centralized coordination while still achieving efficient resource sharing.
4Productivity
If tree scans are performed independently by each process, then each process can start immediately, but the same tree elements are scanned multiple times redundantly
Solution Approach 1:
Multiple independent tree scanning processes are merged into a single shared scanner that serves all processes. The scanner is a common resource that all processes can utilize, eliminating redundant scanning operations. When one process requests a tree scan, the scanner is allocated to that process; when another process needs scanning, it shares the same scanner if available or waits for it to become free.
Data Source
AI summary
The technology describes scanning tree data structures (trees) for multiple processes, at least partly in parallel. A service scans a tree from a beginning tree element to an ending tree element on behalf of a process; while scanning, another process can join in the scan at an intermediate tree element location (e.g., a key). For the subsequent process, the service scans the tree based on the intermediate location to the tree end, thereby visiting tree elements in parallel until the tree end, then continuing from the tree beginning element to the intermediate location for the subsequent process. The service basically completes a full carousel-type revolution for each process. One or more other processes can join an ongoing scan at any time, facilitating further parallel tree element visits, while still obtaining a full scan of the entire set of tree elements. The service handles changing tree versions during the scanning.


