DisCoP: a P2P framework for managing and searching computing markets
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Peer-to-Peer (P2P) computing, the harnessing of idle CPU cycles through the Internet, offers new research challenges in the domain of distributed computing. This paper proposes an efficient, dynamic and scalable overlay orientated towards P2P computing, called DisCoP. Our proposal gathers the peers into markets according to their computational resources. Each market is arranged in an N-ari Tree and these trees are linked by a Bruijn graph. The tree topology allows efficient searching of available resources in a specific market, while the Bruijn provides good scalability. A Hilbert function is used to arrange markets in one ordered and mono-dimensional space. This way, the proposed architecture exploits the Bruijn and the N-ari tree topologies together with the Hilbert function to classify the computing markets. Searching efficiently for computational resources in P2P systems is a challenge and in turn, an essential requirement for the platform to provide. This article also proposes different search algorithms, each adapted to the DisCoP overlay and optimized to locate computing resources in different ways: exact, range, multi-attribute and approximate searches. A large number of experiments demonstrate the correct behavior of our proposals. The comparison of the obtained results obtained compared to other approaches in the literature reveals their competitiveness in terms of efficiency, latency and hit rates.