Using Reputation Information on Internet-of-Services Markets

The paper identifies trusting problems between autonomous services in the Internet-of-Services (IoS). This scenario vision describes a general computational paradigm, which allows companies to procure computational resources externally. The arising conflicting interests between providers and consumers lead to strategic behaviour of single services. Usually trust and reputation models are proposed to set incentives for acting honestly. But when using Double Auctions to match buyers and sellers, these trust and reputation models fail to close this “trusting gap”. This paper proposes a modified Double Auction protocol fulfilling the deducted requirements. Simulation experiments show that the usage of this modified protocol leads to increased trustworthiness for the participants.

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