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Nubo Labs
Imagine the impossible. Deliver the improbable.
Uma constante contribuição para o estado da arte...
As competências tecnológicas da Nubo são formadas por pesquisas técnico-científico amplamente aceitas por grandes empresas de internet e comunidades científicas internacionais. O viés em P&D na área de Big Data, IoT, AI e o know-how na industria de Automação Comercial estabelecem uma relação simbiótica presente desde a fundação da Nubo, aumentando o êxito nas suas decisões de produto e de tecnologia, respeitando os seus valores no cumprimento de sua missão.
Acknowledgments
Parceiros de Pesquisa
Pesquisadores
Prof. Dr. Miguel Xavier
Researcher & Co-Founder
Prof. Dr. Marcelo Neves
Researcher & Co-Founder
Nossas Publicações Mais Recentes
48
Artigos Internacionais
1271
Citações
Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
AbstractWith the emergence of data-processing frameworks like Hadoop and Spark, a new concept of a cluster resource manager was necessary to deliver per-application containerwrapped on-demand resources with high scalability on a large scale. The container-based ”Big Data” Operating System concept arose (e.g. YARN and Mesos) and brought along with it the long-standing inter-instance performance interference…
Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
Abstract: The use of virtualization technologies in high performance computing (HPC) environments has traditionally been avoided due to their inherent performance overhead. However, with the rise of container-based virtualization implementations, such as Linux VServer, OpenVZ and Linux Containers (LXC), it is possible to obtain a very low overhead leading to near-native performance. In this work,…
A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters
Abstract: Virtualization as a platform for resource-intensive applications, such as MapReduce (MR), has been the subject of many studies in the last years, as it has brought benefits such as better manageability, overall resource utilization, security and scalability. Nevertheless, because of the performance overheads, virtualization has traditionally been avoided in computing environments where performance is…
Towards better manageability of database clusters on cloud computing platforms
Cloud computing (CC) has become a very popular computing model in the last decade, as it has proved to be a cost-effective alternative to large-scale computers hosted in conventional Information Technologies (IT) department. The ability to provide on-demand IT-related resources either through the internet (public clouds) or private networks (private clouds) based on customer’s needs,…
Green software development for multi-core architectures
Abstract: Advances in computer architecture to provide higher parallelism (e.g. hyper threading and multi-core) usually incur in higher complexity in software development. Applications should be designed to use efficiently the additional resources in order to improve its performance. However, the popularity of mobile devices and recent studies in IT-related energy consumption have driven software developers…
MPI-blastn and NCBI-TaxCollector: Improving metagenomic analysis with high performance classification and wide taxonomic attachment
Metagenomic sequencing technologies are advancing rapidly and the size of output data from high-throughput genetic sequencing has increased substantially over the years. This brings us to a scenario where advanced computational optimizations are requested to perform a metagenomic analysis. In this paper, we describe a new parallel implementation of nucleotide BLAST (MPI-blastn) and a new…
A Performance Isolation Analysis of Disk-Intensive Workloads on Container-Based Clouds
Abstract: The popularity of Cloud computing due to the increasing number of customers has led Cloud providers to adopt resource-sharing solutions to meet growing demand for infrastructure resources. As the adoption of resource-sharing/consolidation in Cloud computing became arguably a well-established solution, the ability the underlying virtualization systems of preventing performance interferences from customers must also…
On the Impact of Energy-Efficient Strategies in HPC Clusters
Energy-aware management strategies are a recent trend towards achieving energy-efficient computing in HPC clusters. One of the approaches behind those strategies is to apply energy-saving states on idle nodes, alternating them among different sleep states that reflect on many power consumption levels. This paper investigated the way such energy-efficient strategies affected the job turnaround time…
Understanding performance interference in multi-tenant cloud databases and web applications
The number of e-commerce customers and database services in cloud computing platforms has grown increasingly, leading providers to adopt resource-sharing solutions to meet growing demand for infrastructure resources, such as processing and storage. Consolidating database applications has become arguably a de-facto solution to support a large number of customers/tenants at low infrastructure costs. However, the…
E-eco: Performance-aware energy-efficient cloud data center orchestration
The high energy consumption of data centers has been a recurring issue in recent research. In cloud environments, several techniques are being used that aim for energy efficiency, ranging from scaling the processors frequency, to the use of sleep states during idle periods and the consolidation of virtual machines. Although these techniques enable a reduction in power consumption, they usually…
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