Renewable self-adaptive calculation unloading layered service quality optimization method
A layered quality of service, adaptive computing technology, applied in the field of cloud servers, can solve the problems of reducing application function and service quality, ignoring the reusability of application terminal equipment, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0231] The present invention first compares the proposed energy-application allocation scheme with three benchmark algorithms RAN, AVG and CAF. The benchmark algorithms RAN and AVG distribute the available energy supply in the end device to the individual applications in a random and average manner, respectively. The benchmark algorithm CAF assigns higher priority to applications with larger forced cycles, so that these applications can get more energy to complete their execution. After completing the energy-to-application allocation, all algorithms utilize the proposed MILP-based scheme to perform energy-to-component allocation. Then, the developed MILP-based energy-component allocation scheme is compared with two benchmark algorithms, PSO and GEN. The benchmark algorithms PSO and GAN utilize the well-known particle swarm optimization algorithm and genetic algorithm for component-scale energy allocation, respectively. Finally, the proposed computational offloading scheme is...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com