Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Large data centers host several application environments (AEs) that are subject to workloads whose intensity varies widely and unpredictably. Therefore, the servers of the data ce...
Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Packet filtering plays a critical role in many of the current high speed network technologies such as firewalls and IPSec devices. The optimization of firewall policies is critica...
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...