Cloud Platform Resource Bidding Mechanism for Utilization
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Solution Overview
Problem
Cloud platforms face low resource utilization and significant waste due to peak-to-valley fluctuations in resource usage, leading to unfair charging and increased costs for users.
Innovation Solution
Implement a dynamic pricing mechanism through resource bidding, where users bid for resources, with winners paying a lower 'first price' and losers paying a higher 'second price', ensuring continuous service processing without interruption and reducing overheads from service status saving and restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud platforms allocate dedicated resources to each user service, then service reliability is improved, but resource utilization deteriorates due to peak-to-valley fluctuations
Solution Approach 1:
The patent merges resource allocation across multiple users into a unified bidding market. Multiple users compete for the same pool of cloud resources through bids, allowing resources to be dynamically shared rather than dedicated. This combining approach enables high utilization during peak periods while maintaining service reliability through competitive pricing mechanisms.
Solution Approach 2:
The patent implements dynamic resource allocation where resource assignment changes based on real-time bidding outcomes. Users can win or lose resource allocation dynamically through periodic bidding, allowing the system to adapt resource distribution to actual demand patterns. This dynamic mechanism resolves the contradiction by enabling both high reliability (through guaranteed allocation to winners) and high utilization (through flexible reassignment).
2Ease of operation
If cloud platforms use fixed pricing for resources, then charging simplicity is improved, but user cost efficiency deteriorates during low-utilization periods
Solution Approach 1:
The patent transforms fixed pricing into dynamic pricing through periodic bidding. Prices fluctuate based on supply-demand conditions and user bids, allowing users to pay lower rates during low-utilization periods when resources are abundant. This dynamic pricing mechanism maintains charging simplicity through automated bid processing while dramatically improving user cost efficiency.
Solution Approach 2:
The patent implements feedback loops where bidding results inform future pricing and allocation decisions. User bids and winning outcomes feed back into the pricing mechanism, creating a self-adjusting system that responds to utilization patterns. This feedback-driven approach simplifies charging for users (automatic bid-based pricing) while optimizing cost efficiency across different demand conditions.
Data Source
AI summary
This application provides a service processing method and a related apparatus, and belongs to the field of cloud computing technologies. One example method includes, receiving a plurality of service requests, wherein the plurality of service requests indicate to process a plurality of services corresponding to a plurality of users, and each of the plurality of service requests indicates a cloud platform to process a service indicated by the respective service request; processing the plurality of services corresponding to the plurality of service requests, and bidding on resources applied for by the plurality of users; charging, based on a first price, a user that wins bidding and that is in the plurality of users; and charging, based on a second price, a user that loses the bidding and that is in the plurality of users.