Mobile Edge Computing Allocation for Lower-Cost Cloud Processing
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Solution Overview
Problem
The high capital investment required for installing computers capable of processing large amounts of data in cloud service centers leads to monopolies and oligopolies, hindering the entry of new providers and increasing service fees, which impedes sustainable technological development and economic growth.
Innovation Solution
A processing system that communicates with edge computers mounted on moving bodies to perform host processing on service data sets, dividing the data into tasks and searching for edge computers that meet necessary conditions for distribution processing, thereby expanding or contracting the network as needed and reducing capital investment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If high-capacity computers are installed in cloud service centers to process large amounts of data, then processing capability is improved, but capital investment increases
Solution Approach 1:
The patent segments the cloud service infrastructure into host centers and multiple edge computers mounted on moving bodies. Data processing is divided into host processing at the host center and distribution processing at edge computers. This segmentation allows capital investment to be distributed across many low-cost edge devices rather than concentrated in few high-capacity computers, reducing overall capital barriers while maintaining processing capability.
Solution Approach 2:
The patent introduces a spatial dimension by deploying edge computers on moving bodies (vehicles, mobile devices) throughout the service area. Instead of concentrating all processing power in fixed cloud service centers, the system utilizes distributed edge computing resources across multiple locations and movement patterns, expanding the processing network in a spatial dimension and reducing the need for heavy capital investment in centralized facilities.
2Power
If high-capacity computers are installed in cloud service centers, then processing capability is improved, but market competition deteriorates due to monopoly and oligopoly
Solution Approach 1:
The patent employs inexpensive edge computers mounted on moving bodies as disposable or temporary processing nodes. These edge computers can be easily deployed, added, or removed from the network without significant capital investment. This lowers the barrier to entry for new service providers, enabling them to compete with established players and fostering market competition while still providing high-capacity data processing through distributed edge computing.
3Adaptability or versatility
If edge computers on moving bodies are utilized for distribution processing, then network flexibility is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the host center monitors the status, location, and performance of edge computers on moving bodies. The host center receives feedback from edge computers about their operational state and uses this information to dynamically assign distribution processing tasks. This feedback loop enables the system to manage the complexity of distributed edge computing while maintaining network flexibility, as the host center can adaptively allocate workloads based on real-time conditions.
Data Source
AI summary
A processing system is in a host center configured to communicate with edge computers each of which is mounted on one of a plurality of moving bodies, and the processing system is configured to perform host processing on a service data set related to a cloud service. The processing system includes a processor configured to set divided data of the service data set, and search, for each of the divided data, the edge computer that satisfies a necessary condition required for performing distribution processing on the divided data by monitoring whether each of the edge computers satisfies the necessary condition.