Resource Information Evaluation Expression for Grid Computing
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Solution Overview
Problem
In grid computing, conventional resource information collection and delivery systems face challenges such as increased processing requirements for the resource use device when dealing with large amounts of resource information, inefficiencies in selecting valuable resources, and unproductive traffic between resource providing and using devices due to lack of attribute distribution knowledge and inconsistent evaluation criteria.
Innovation Solution
A system where the resource use device sends an evaluation expression to the resource providing device, which calculates and adds a resource information value to the information, allowing the resource use device to prioritize valuable resources and reduce processing load, while also implementing resource information sorting and grouping to optimize delivery and reduce unnecessary traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the resource use device collects resource information from multiple resource providing devices, then the quantity of resource information increases, but the processing burden on the resource use device increases
Solution Approach 1:
The resource providing device performs preliminary evaluation of resource information against the evaluation expression before delivering it to the resource use device. This preliminary action filters and pre-ranks resources, so that when the resource use device receives the information, it already comes with associated evaluation values, reducing the processing burden on the resource use device while maintaining comprehensive information collection.
2Quantity of substance
If the resource use device collects all resource information satisfying the filter expression, then the completeness of resource information improves, but the time required for processing increases
Solution Approach 1:
The resource providing device performs preliminary evaluation and sorting of resource information before delivery. Resources are pre-ranked based on their evaluation values, allowing the resource use device to receive information already organized by value. This preliminary sorting enables the resource use device to process information more efficiently while maintaining completeness.
Solution Approach 2:
Different levels of resource information are delivered with different levels of detail based on their evaluation values. High-value resources receive more detailed information while lower-value resources receive summarized information, optimizing processing time while maintaining necessary completeness for effective resource selection.
3Quantity of substance
If the resource providing device delivers all resource information, then the quantity of delivered information increases, but the amount of wasteful traffic increases
Solution Approach 1:
The resource providing device performs preliminary evaluation of resource information against the evaluation expression and only delivers information that has been pre-filtered and ranked. This preliminary action ensures that only relevant and valuable resource information is transmitted, reducing wasteful traffic while maintaining sufficient quantity of useful information for effective resource selection.
Data Source
AI summary
A resource use device that sends a resource information evaluation expression, which is a criterion for selecting resources, to a resource providing device. The resource providing device evaluates resource information on a resource using the resource information evaluation expression, adds a resource information value, which is the result of evaluation, to resource information and delivers the resource information to the resource use device.