SCIENTIFIC PAPERS

Authors

  • Ignacio Blanquer, Amanda Calatrava, Miguel Caballer (Universitat Politècnica de València, Spain)
  • Francisco Brasileiroy, Thiago Emmanuel Pereiray (Federal University of Campina Grande, Brazil)

Federated clouds address many problems of scientific and industrial applications, such as legal restrictions and efficient data access. Despite these benefits, its natural geographical distribution and complex software stack challenges the developers and operators aiming to harness this kind of infrastructure. This article...

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Authors

  • Flavio Figueiredo, Guilherme Borges, Pedro O. S. Vaz de Melo, Renato Assuncão (Federal University of Minas Gerais, Brazil)

We here focus on the task of learning Granger causality matrices for multivariate point processes. In order to accomplish this task, our work is the first to explorethe use of Wold processes. By doing so, we are able to develop asymptotically fast MCMC learning algorithms. With Nbeing the total number of events and K the number of processes, our learning algorithm has aO(N( log(N) + log(K)))costper...

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Authors

  • Gustavo Portella ; Eduardo Nakano ; Genaina N. Rodrigues ; Alba C.M.A. Melo (University of Brasilia) - Brazil

Abstract: In the Amazon EC2 cloud provider, the price of spot instances is much lower than on demand instances, however, at the cost of availability issues of the former. Recently, several strategies were proposed to analyze the Amazon EC2 spot pricing model employing techniques such as statistical and probabilistic modeling and neural networks. To the best of our knowledge, there is no work in the literature that...

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Authors

  • Eugenio Gianniti, Danilo Ardagna (Politecnico di Milano) - Italy
  • Li Zhang (IBM Research) - USA

Abstract: Recent years saw an increasing success in the application of deep learning methods across various domains and for tackling different problems, ranging from image recognition and classification to text processing and speech recognition. In this paper we propose, discuss, and validate a black box approach to model the execution time for training convolutional neural networks (CNNs), with a particular focus on...

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Authors

  • Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna (1Politecnico di Milano) - Italy
  • Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva and Jussara M. Almeida (Federal University of Minas Gerais) - Brazil

Abstract: Big data applications are among the most suitable applications to be executed on cluster resources because of their high requirements of computational power and data storage. Correctly sizing the resources devoted to their execution does not guarantee they will be executed as...

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Authors

  • Ivan Andrade Castaneda & Ignacio Blanquer (Universitat Polit`ecnica de València) - Spain
  • Carlos de Alfonso (Secretarıa de Educacion Superior, Ciencia, Tecnologıa e Innovacion) - Equador

Abstract: Cloud federation, in the last years, has grown rapidly in literature because to its multiple advantages to coordinate and re-use different services across multiple sites, different geographic locations or cloud providers. This article presents a federated network architecture and focuses on the multi-tenant overlay...

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Authors

  • Adbys Vasconcelos, Lucas Vieira, ´Italo Batista, Rodolfo Silva and Francisco Brasileiro (Federal University of Campina Grande)

Abstract: The adoption of cloud computing is continuously increasing due to the attractiveness of low costs of infrastructure acquisition and maintenance, as well as having virtually infinite resources available for scaling applications based on demand. Due to the increasing interest in this topic, there is a continuos search for better, more cost-effective ways to manage such infrastructures. One...

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Authors

  • Ignacio Blanquer (Universitat Politècnica de València), Angel Alberich-Bayarri & Fabio Garcıa-Castro (QUIBIM) - Spain
  • George Teodoro, André Meirelles (University of Brasilia), Bruno Nascimento, Wagner Meira Jr and Antonio L. P. Ribeiro (Federal University of Minas Gerais) - Brazil

Abstract: This paper describes the development of applications in the frame of the ATMOSPHERE platform. ATMOSPHERE provides means for developing container-based applications over a federated cloud offering measuring the...

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Authors

  • Tania Basso, Hebert Silva, Leonardo Motecchi, Breno de Franc¸a, Regina Moraes - University of Campinas (Campinas, Brazil)

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,...

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Authors

  • Bruno Ramos Nascimento, André L. S. Meirelles, Wagner Meira Júnior, Gisele L. Pappa, Maria do Carmo Nunes, Craig Sable, Andrea Beaton, Paulo R. Gomes, Fábio V. Modesto, George Luiz M. Teodoro, Antonio Ribeiro, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Universidade de Brasília, Brasília, Brazil.

Background: The burden of Rheumatic Heart Disease (RHD) is concentrated in low-income countries, where health resources are scarce. Echocardiographic (echo) screening is the gold standard...

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