activity
20032020
most citedImproving Lower Bounds for the Quadratic Assignment Problem by applying a Distributed Dual Ascent Algorithm

12 citations · 40 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DC2020★ 7 cited

Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines

Luan Teylo, Luciana Arantes, Pierre Sens +1

Leading Cloud providers offer several types of Virtual Machines (VMs) in diverse contract models, with different guarantees in terms of availability and reliability. Among them, th…

cs.DC2018★ 1 cited

A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds

Luan Teylo, Lúcia Maria de A. Drummond, Luciana Arantes +1

Cloud platforms have emerged as a prominent environment to execute high performance computing (HPC) applications providing on-demand resources as well as scalability. They usually…

cs.DC2016★ 2 cited

A Quantitative Model for Predicting Cross-application Interference in Virtual Environments

Maicon Melo Alves, Lúcia Maria de Assumpção Drummond

Cross-application interference can affect drastically performance of HPC applications when running in clouds. This problem is caused by concurrent access performed by co-located ap…

cs.DC2015★ 1 cited

Detecting and Handling Flash-Crowd Events on Cloud Environments

Ubiratam de Paula, Daniel de Oliveira, Yuri Frota +2

Cloud computing is a highly scalable computing paradigm where resources are delivered to users on demand via Internet. There are several areas that can benefit from cloud computing…

cs.DC2014★ 9 cited

Handling Flash-Crowd Events to Improve the Performance of Web Applications

Ubiratam de Paula Junior, Lúcia M. A. Drummond, Daniel de Oliveira +2

Cloud computing can offer a set of computing resources according to users' demand. It is suitable to be used to handle flash-crowd events in Web applications due to its elasticity…

cs.DC2013★ 12 cited

Improving Lower Bounds for the Quadratic Assignment Problem by applying a Distributed Dual Ascent Algorithm

Alexandre Domingues Goncalves, Lucia Maria Drummond, Artur Alves Pessoa +1

The application of the Reformulation Linearization Technique (RLT) to the Quadratic Assignment Problem (QAP) leads to a tight linear relaxation with huge dimensions that is hard to…