Marcio Augusto de Deus
University of Brasilia, Brazil
Title: Improve the modeling and decision-making processes
Biography
Biography: Marcio Augusto de Deus
Abstract
In this recent work I have study the way that an Autonomous systems provide network control without external monitoring. This can be a problem when the traffic is asymmetric with a higher portion being inbound, as networks are generally designed for symmetrical loads. This problem occurs frequently in networks within South American countries as the inbound and outbound portions of traffic are unbalanced by a factor greater than 5:1. Furthermore, national content is usually hosted in the USA, exacerbating the problem. In this study, networks in Brazil, Colombia, and Venezuela are analyzed and characterized. Decision-making techniques were proposed as a tentative external control method or, in some cases, as a proactive attempt to interfere in an internal decision [6]. The new adaptive algorithm outperformed manual human intervention, which has potential utility to assist longterm capacity planning of the interconnection between autonomous systems [7]. The capacity plan for the Network Virtualization Function is also an important field of my dissertation. Because I still working as an network architect and engineer, this theory is currently feedback by real situations. The network under the test is running in 5 countries over 22,000km submarine cable with the lowest route latency in the region. The specialist knowledge, the way network administrators take their decisions for a BGP peering, the capacity plan, the management and new services virtualization function are important for my applied research