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About An Efficient Multi-Objective Particle Swarm Optimization Based Ranking System For Cloud Service Selection
The document proposes an efficient multi-objective particle swarm optimization based ranking system for cloud service selection. It incorporates three stages: screening to select candidate services, using MOPSO to optimally select candidates, and hierarchical clustering to rank services. The proposed method is implemented in Java with CloudSim to better rank candidates.
Detailed Information
| Author: | ['Manojkumar Kothandapani'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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