Abstract
In recent years, due to the emergence of P2P technology, people rely on the Internet to share resources. It is believed that the number of users and shared resources will become enormously huge. As a result, many researches have been dedicated to improve the scalability and efficiency of P2P models. In this paper, we propose a multi-layered P2P resource sharing model, called ML-Chord, that assigns nodes into Chord-like layers based on the categories of shared resources. From the experimental results, it shows that ML-Chord is both efficient and scalable.
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