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.