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About Me

I am currently working on two main areas: computer science, where I focus on Cloud/Fog Computing and Machine Learning; and the application of computer science theories and methods in the field of cultural heritage. I am a postdoctoral fellow at IMT Institute for Advanced Studies, and working with Rocco De Nicola, but I am also involved in projects of cultural heritage in IMT Lucca and Università Ca' Foscari Venezia and collaborating with Maria Luisa Catoni, David Bryant and Luigi Collarile. I also collaborate with my wife, Yesim Tonga Uriarte, in this area.

Recent:

Cloud/Fog/Machine Learning Projects

Dynamic SLAs for Clouds

SLAC is a language for specifying Service Level Agreements in the cloud computing domain. With this language, we propose a new perspective on SLA, where they are dynamic and change according to the conditions and actions defined in the SLA itself. Moreover, its semantics is formally defined; it supports the main cloud deployment models; and it allows multi-party agreements. Furthermore, SLAC comes with an open-source software framework that allows to specify, evaluate and enforce SLAs in the cloud domain.

  • V. Scoca, R.B. Uriarte and R. De Nicola, Smart Contract Negotiation in Cloud Computing. 2017 in Proc. of the 10th IEEE International Conference on Cloud Computing (CLOUD), 2017. [In Press].
  • R.B. Uriarte, F. Tiezzi and R. De Nicola, Dynamic SLAs for Clouds. in Proc. of the 5th European Conference Service-Oriented and Cloud Computing. Vienna, Austria, 2016 Best paper Runner-up.
  • R.B. Uriarte, F. Tiezzi and R. De Nicola, SLAC: A Formal Service-Level-Agreement Language for Cloud Computing. In IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), 2014.

Autonomic Clouds: Service Clustering with Random Forest,

We propose an approach which uses all kinds of data (continuous and categorical) and learns in a data-driven fashion the similarities and resource usage patterns among the services. In particular, we use an unsupervised formulation of the Random Forest algorithm to calculate similarities and provide them as input to a clustering algorithm. For the sake of efficiency and meeting the dynamism requirement of autonomic clouds, our methodology consists of two steps: (i) off-line clustering and (ii) on-line prediction.

  • R. B. Uriarte; S. Tsaftaris; and F. Tiezzi, "Supporting Autonomic Management of Clouds: Service Clustering with Random Forest," in IEEE Transactions on Network and Service Management , vol.PP, no.99, pp.1-1, doi: 10.1109/TNSM.2016.2569000
  • R. B. Uriarte; S. Tsaftaris; and F. Tiezzi, "Service Clustering for Autonomic Clouds Using Random Forest," in Proc. of the 15th IEEE/ACM CCGrid, pp.515-524, 4-7 May 2015.

Cultural Heritage Projects

The Sound of Eternity

In this project we develop an on-line platform for Venetian Music in general and a specific platform for the collection of choir-books containing the polyphonic repertoire of the Ducal Chapel of St Mark's, now preserved in the Archivio Storico del Patriarcato di Venezia. These music manuscripts – 14 volumes 'in folio' and some fragments – represent the largest nucleus of what remains of the cappella's early repertoire.

Assessing Cultural Spillovers: Lucca Comics & Games

The core phenomenon of festivals can be outlined as the festival experience and meanings attached to it. In this project, we develop innovative holistic methodological approach, that combines, in a novel fashion, qualitative and quantitative methods, including computational tools, to analyse some of the most important spillovers of big scale cultural events. We test this methodology in Lucca Comics & Games (LC&G), which is the biggest cultural and commercial event dedicated to fantasy culture and related forms of lifestyle narratives in Italy and among the biggest in the world, bringing around 500.000 attendees to Lucca.