Hash-Based Item Request Queuing for High-Demand Listings
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Solution Overview
Problem
Conventional approaches to managing traffic spikes in item listings, such as those caused by flash offerings, result in performance degradation, computational overload, and user frustration due to unprocessed locked item requests and inefficient resource allocation, while horizontal scaling is costly and wasteful during normal conditions.
Innovation Solution
Employing secure hashes generated using cryptographic algorithms to quickly record and manage item requests, decoupling their processing from immediate availability updates, and adjusting queue delays based on traffic conditions to handle high demand without overwhelming system resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional approaches are used to manage traffic spikes in item listings, then item requests can be processed, but system performance degrades and computational overload occurs
Solution Approach 1:
The patent applies preliminary action by pre-generating secure hashes for item requests before actual processing occurs. When an item listing is created or updated, the system proactively generates secure hashes that will be needed for future request management. This allows the system to be prepared for traffic spikes in advance, converting requests to their hash representations ahead of time so that during high-demand events, the system only needs to perform hash matching rather than full request processing, thereby maintaining performance while handling increased load
Solution Approach 2:
The patent extracts the computationally intensive processing logic from the request intake path by separating request reception from request processing. Item requests are immediately converted to secure hash representations and stored, while the actual processing is deferred. This extraction allows the system to accept requests at high speed during traffic spikes without being bottlenecked by processing complexity, as the heavy lifting is performed separately using the pre-computed hashes
2Productivity
If horizontal scaling is used to handle traffic spikes, then system capacity increases, but cost increases and resources are wasted during normal conditions
Solution Approach 1:
The patent implements dynamics by making the system's processing capacity adaptive rather than static. During normal conditions, the system operates in a low-resource mode using efficient hash-based lookup. During traffic spikes, the same infrastructure handles increased load without requiring additional computational resources. The secure hash mechanism enables the system to dynamically adjust to varying demand levels, providing high scalability without the need for permanent infrastructure expansion that would waste resources during quiet periods
3Loss of time
If item requests are immediately processed, then user response time is reduced, but system resources are overwhelmed during high demand
Solution Approach 1:
The patent introduces secure hashes as an intermediary between item requests and the processing system. Instead of directly processing full item requests which contain all the complexity of user intent, item details, and procurement information, the system uses compact secure hash representations as mediators. These hashes serve as lightweight proxies that can be rapidly generated, stored, and matched without the computational burden of processing the actual request data, thereby reducing both processing time and computational complexity
Data Source
AI summary
Item request management employing secure hashes to queue item requests for processing is leveraged with an online platform supporting item listings. In one or more implementations, item request data associated with an item request for a listed item is received. The item request data includes information such as a recipient for the item and/or an item procurement quantity associated with the item request. A secure hash is generated from the item request data, with the secure hash storable in a secure hash ring to represent the item request data in the secure hash ring. A queued item request is generated in an item request processing queue from the secure hash, and the queued item request is processed to allocate an amount of the item equal to the procurement quantity to the recipient.