ATMOSPHERE was presented at the SBRC Fault Tolerance (WTF) Workshop, from 6th till 10th May, Gramado (Brazil). WTF is the major brazilian forum for discussion and exchange of ideas on theoretical and practical work related to testing and fault tolerance developed in academia and industry.
The Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) is the flagship annual symposium of the Brazilian Computer Society (SBC) and the National Computer Networks Laboratory (LARC) on computer networking and distributed systems. After almost four decades, it has become one of the most popular events among those promoted by SBC.
The importance of SBRC can be observed by the number of research papers submitted/accepted and attendees over the years. Every year, around 600 participants among professors, researchers, students, and professionals from Brazil and abroad, present and discuss their latest scientific and technical achievements in networking and distributed systems. In addition, the main track has received annually between 250 and 300 submissions, and kept the acceptance rate between 25 and 30%. Such strong participation may be credited to the symposium’s reputation, built after years of dedication of past organizing, steering, and program committee members. The diversity and scope of its parallel activities, and rigorous review process, also contribute to make SBRC the premier venue where the Brazilian (and Latin American) networking community comes together.
ATMOSPHERE project presented a paper on monitoring and assessing data privacy in the cloud
The paper, presented by Leonardo Montecchi from University of Campinas and member of ATMOSPHERE consortium, is entitled "Towards trustworthy cloud service selection: monitoring and assessing data privacy".
Cloud services consumers deal with a major challenge in selecting services from several providers. Facilitating these choices has become critical, and an important factor is the service trustworthiness. To be trusted by users, cloud providers should explicitly communicate their capabilities to ensure important functional and non-functional requirements (such as security, privacy, dependability, fairness, among others). Thus, models and mechanisms are required to provide indicators that can be used to support clients on choosing high quality services. This paper presents a solution to support privacy measurement and analysis, which can help the computation of trustworthiness scores. The solution is composed of a reference model for trustworthiness, a privacy model instance, and a privacy monitoring and assessment component. Finally, ATMOSPHERE provides an implementation capable of monitoring privacy-related information and performing analysis based on privacy scores for eight different datasets.