M
Marcelo Amaral
Researcher at IBM
Publications - 18
Citations - 328
Marcelo Amaral is an academic researcher from IBM. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 5, co-authored 14 publications receiving 271 citations. Previous affiliations of Marcelo Amaral include Polytechnic University of Catalonia & Barcelona Supercomputing Center.
Papers
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Proceedings ArticleDOI
Performance Evaluation of Microservices Architectures Using Containers
TL;DR: The goal of this work is to compare the performance of CPU and network running benchmarks in the two aforementioned models of micro services architecture to provide a benchmark analysis guidance for system designers.
Proceedings ArticleDOI
Performance Evaluation of Microservices Architectures using Containers
TL;DR: In this article, the authors compare the performance of CPU and network running benchmarks in the two aforementioned models of microservices architecture and provide a benchmark analysis guidance for system designers, which can be used to develop applications based on monolithic architectures where the whole system runs inside a single container or inside a microservices architectures where one or few processes run inside the containers.
SustNMS: Towards service oriented policy-based network management for energy-efficiency
Carlos Costa,Marcelo Amaral,Guilherme C. Januario,Tereza Cristina Melo de Brito Carvalho,Catalin Meirosu +4 more
TL;DR: An energy-efficient policy-based network management architecture that enables the enforcement of energy-efficiency according to high-level business decisions on how to coordinate the trade-off between energy savings and the potential impact on the network operation is presented.
Patent
Selecting resource allocation policies and resolving resource conflicts
TL;DR: In this article, a method for allocating computing resources in a datacenter cluster is provided, which includes the steps of: creating multiple, parallel schedulers; and automatically selecting a resource allocation method for each of the scheduler based on one or more of a workload profile, user requirements, and a state of the data center cluster.
Proceedings Article
Evaluation of a policy-based network management system for energy-efficiency
Guilherme C. Januario,Carlos Costa,Marcelo Amaral,Ana Carolina Riekstin,Tereza Cristina Melo de Brito Carvalho,Catalin Meirosu +5 more
TL;DR: This paper evaluates the system using software routers for emulating network equipment functionality and presents results from the evaluation of the management system and argues about the benefits of the emulation environment.