Marcelo Amaral

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.

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.

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.

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.

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.