@inproceedings{discovery10084766,
         address = {Paris, France},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
          volume = {2019},
           pages = {480--488},
       booktitle = {Proceedings of the 2019 IEEE Conference on Network Softwarization (NetSoft)},
          series = {IEEE Conference on Network Softwarization (NetSoft)},
           month = {August},
         journal = {Proceedings of the 2019 IEEE Conference on Network Softwarization: Unleashing the Power of Network Softwarization, NetSoft 2019},
       publisher = {IEEE},
           title = {A Marketplace-based Approach to Cloud Network Slice Composition Across Multiple Domains},
            year = {2019},
             url = {https://doi.org/10.1109/NETSOFT.2019.8806668},
          author = {Maciel, PD and Verdi, FL and Valsamas, P and Sakellariou, I and Mamatas, L and Petridou, S and Papadimitriou, P and Moura, D and Swapna, AI and Pinheiro, B and Clayman, S},
        abstract = {Cloud network slicing can be defined as the process that enables isolated end-to-end and on-demand networking abstractions, which: (a) contain both cloud and network resources, and (b) are independently controlled, managed and orchestrated. This paper contributes to the vision of the NECOS project and relevant platform, that aim to address the limitations of current cloud computing infrastructures to accomplish the challenging requirements of the slicing approach. The NECOS platform implements the Slice-as-a-Service model, enabling the dynamic creation of end-to-end (E2E) slices from a set of constituent slice parts contributed from multiple domains. A challenging issue is to define the facility that implements dynamic slice resource discovery, aligned to the requirements of the slice owner or tenant, over different infrastructure providers. Here, we propose a Marketplace-based approach implementing relevant federated interactions for the resource discovery and we detail its architecture, workflows, and information model. We also present its initial implementation details and provide both quantitative and qualitative experimental results validating its main operation.},
        keywords = {Cloud computing, 5G mobile communication, Network slicing, Dynamic scheduling, Monitoring, Computer architecture, Industries, Cloud Network Slicing, Slice-as-a-Service, Slice Resource Discovery, Marketplace}
}