Edge Collaborative Cache Arrangement Method Based on Fruit Fly Optimization Algorithm
A fruit fly optimization algorithm and collaborative caching technology, applied in computing, computing models, instruments, etc., can solve problems such as complex caching strategies
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0051] attached figure 1 It is a typical application scenario of the edge cooperative caching method based on the fruit fly optimization algorithm. Consider a general network architecture in which K network operators (NOs) or network entities (constituting a caching node set K) provide Internet access to user groups (constituting a user set M) distributed in M geographical areas Serve. For each zone, each cache node installs a cache at a specific location along the path from the user to the remote content server. NOk∈K represents nodes in a certain area, N k Represents the set of all nodes (ie NOk) in this area. C n Represents cached content n∈N k size, and C n ≥0 (bytes). The video content constitutes a set V={1, 2, . . .}. Assume that the average user demand for each video content is fixed over a certain period of time (e.g., hours or days), and assume that user demand is known in advance (e.g., by analyzing statistics on user request patterns at previous times , ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More - R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com



