DMTP: A Distributed Matchmaking Trading Platform

Matchmaking trading system has become an essential paradigm to leverage the massive buyers to obtain the certain trades in a most effective method. Trading matchmaking method is an indispensable issue in commerce platforms owing to sellers and buyers exiting in heterogeneous bidder and prices. Matchmaking method is a fundamental approach in trading platforms, while currently most researchers and systems are considered and relayed on a concentrated servers leads to ignore the server safety in assigning trading platforms and the risk of sensitive information leakage by utilizing a centralized server. In this paper, we concentrate on distributed matchmaking approach for buyers with diversity sellers in trading platforms and propose an allocation method DMTP to maximize the social welfare by utilizing the block chain trading technology with reasonable computation and communication costs. Extensively experimental results indicate that proposed mechanism can greatly enhance the successful ratio of matchmaking trades and compare proposed mechanism social welfare with exiting trading algorithms.