Scientific Papers

A Multi-Platform Workflow Management System optimized for Cloud Computing Platforms

Abstract: The scientific experimentation is facing a data deluge in which the amount of data generated is reaching the order of terabytes per day, and thus huge capacity is required to process this data. Computationally, these processes are modelled using Scientific Workflows. However, the execution of a Scientific Workflow can be a complex and resource-demanding task that must be managed by Workflow Management Systems (WMSs). As new computing paradigms emerge and infrastructures evolve, WMSs are extended to support these new computing back-ends.

Suporte a organizações virtuais para autenticação e controle de acesso no CSGrid

Abstract: Sharing resources located in different administrative domains is a ty- pical need from multi-institutional projects. Such need implies at using Authen- tication and Authorization (A&A) mechanisms to normalize the access to the resources by the users. In the EUBrazilCC federation, VOMS (Virtual Organi- zation Membership System) was adopted for this purpose what motivated adap- tations on the CSGrid system to give support to virtual organizations for iden- tifying and authenticating users from this federation.

Flexible Federation of Cloud Providers: The EUBrazil Cloud Connect Approach

Abstract: In this work we introduce the EUBrazilCC federated cloud e-infrastructure based on Fogbow, a new middleware designed to support federation of IaaS cloud providers according to a novel approach. It is based on the provision of federation functionalities offered at a higher architectural level than current approaches by being deployed on top of the IaaS cloud orchestrators of each federation member.

Big data analytics for climate change and biodiversity in the EUBrazilCC federated cloud infrastructure

Abstract: The analysis of large volumes of data is key for knowledge discovery in several scientific domains such as climate, astro- physics, life sciences among others. It requires a large set of computational and storage resources, as well as flexible and efficient software solutions able to dynamically exploit the available infrastructure and address issues related to data volume, distribution, velocity and heterogeneity.

EUBRazil Cloud Connect: a federated e-Infrastructure for cross-border science

Abstract: EUBrazil Cloud Connect is an international co-operation project aimed at accelerating scientific discovery to advance knowledge on several challenges with high social impact. It provides a user-centric, federated e-infrastructure for European & Brazilian research communities. Major outputs over 24 months include the design and implementation of new programming models and tools enabling the deployment of three scientific use cases on heterogeneous computing resources.

A dimensionally heterogeneous coupled cardiac-vascular model.

Abstract: This work introduces an HPC-optimized cardiovascular coupled model. Two previously developed models were coupled by a black-box decomposition approach: on one hand, Alya, which is a fluid- electro-mechanical tridimensional cardiac model and on the other hand ADAN, which is a one- dimensional vascular arterial model. In this paper we present some preliminary results for simple geometries: an elipsoidal contracting cavity pumping to a reduced 55-branch arterial network.

A Workflow-Enabled Big Data Analytics Software Stack for eScience

Abstract: The availability of systems able to process and analyse big amount of data has boosted scientific advances in several fields. Workflows provide an effective tool to define and manage large sets of processing tasks. In the big data analytics area, the Ophidia project provides a cross-domain big data analytics framework for the analysis of scientific, multi-dimensional datasets. The framework exploits a server-side, declarative, parallel approach for data analysis and mining.

Towards Automated Workflow Deployment in the Cloud using TOSCA

Abstract: Scientific workflows play an increasingly important role in building scientific applications, while cloud computing provides on-demand access to large compute resources. Combining the two offers the potential to increase dramatically the ability to quickly extract new results from the vast amounts of scientific data now being collected. However, with the proliferation of cloud computing platforms and workflow management systems, it becomes more and more challenging to define workflows so they can reliably run in the cloud and be reused easily.

Using Fogbow to federate private clouds

Abstract: Infrastructure-as-a-service (IaaS) has become the major choice for the provisioning of computing infrastructures. One of the advantages explored by providers is the possibility of reducing the overall capacity needed to support the aggregated demand of all customers. The federation of private IaaS that intend to work together for their mutual benefit has been advocated as a way to increase the infrastructure utilization, and, as a consequence, to increase the efficiency of the federation members, especially for small and medium-sized IaaS providers.

Brazilian dry forest: understanding climate changes and biodiversity dynamics using sebal algorithm and cloud computing. May 2015

Appropriate use of satellite images in their full potential would substantially help a best understanding about the main land use changes drivers: human activities and climate changes. This papers shows some jointed actions aimed to integrate transcontinental data exchange and expert knowledge sharing on both sides of the Atlantic trough the EUBrazilCC project. It has been successfully submitted for the 36th International Symposium on Remote Sensing of Environment, May 2015.

Event: 36th International Symposium on Remote Sensing of Environment (ISRSE)
Date: May 11-15, 2015
Authors: Iana Rufino, John Cunha, Carlos Galvão, Sandro Fiore, Giovanni Aloizio, Francisco Brasileiro.

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