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Artigo Científico
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…
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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…
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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,…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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Modeling and simulation of global and sleep states in ACPI‑compliant energy‑efficient cloud environments.
The more large‑scale data centers infrastructure costs increase, the more simulation‑based evaluations are needed to understand better the trade‑off between energy and performance and support the development of new energy‑aware resource allocation policies. Specifically, in…
Mobile application testing on Clouds: challenges, opportunities and architectural elements
With mobility increasing more each year, mobile devices and operating system (OS) fragmentation are increasing at an even faster pace. A multitude of screen sizes, network connection types, and OS versions have emerged in the…
Optimizing multi‑tier application performance with interference and affinity‑aware placement algorithms
Cloud providers are constantly seeking to become more cost effective, where a common strategy is to consolidate multiple applications in physical machines using virtualization techniques. This consolidation, however, may result in performance related problems such…
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
Cloud computing has transformed the means of computing in recent years with several benefits over traditional systems, like scalability and high availability. However, there are still some opportunities, especially in the area of resource provisioning…
Understanding and Minimizing Disk Contention Effects for Data-Intensive Processing in Virtualized Systems
Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of…
