The rapid proliferation of enormous sources of
digital data and the development of cloud computing have led
to greater dependence on data-intensive services. Each service
may actually request or create a large amount of data sets.
To compose these services will be more challenging. Issues
of autonomy, scalability, adaptability, and robustness, become
difficult to resolve. In order to automate the process of reaching
an agreement in data-intensive service provision, the ant-inspired
negotiation mechanism is considered in this paper. There are twostage
negotiation procedures in our model, which will provide
effective and efficient service selection for service composers.
We also present a multi-phase, multi-party negotiation protocol,
where the ant colony system is applied for selecting the services.
The experimental results show that our ant-inspired negotiation
approach can facilitate the data-intensive service provision.
Index Terms—Ant colony system, data-intensive service composition,
automated negotiation, quality of service.