Pesquisa e Desenvolvimento em Redes: Contribuies do ITA para o Setor Aeroespacial

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Pesquisa e Desenvolvimento em Redes
Contribuições do ITA para o Setor Aeroespacial
V Simpósio de Guerra Eletrônica

• Prof. Dr. Alessandro Anzaloni
• ITA IEET

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Computer Networks
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Goal

• Research and development on important topics
  related to Computer Networks and Aeronautics.

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Activities

• Aeronautics Applications
• Wireless Communication
• Web Server Performance
• Authentication Protocols Performance
• Traffic Modeling
• Internet Monitoring and Modeling

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Aeronautic Applications

• Creation of systems for TCP/IP using CORBA, for
  future implementation with ATN Aeronautic
  Telecommunications Network.
• Context Management in an ATN application.
• Results
• Contacts between airport, airplane and Regional
  center, already implemented
• Testing the velocity and delay of system.

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Aeronautic Applications
ACARS

• Operação desde 1976
• Faixa de VHF
• AM-MSK
• Vazão 2.4 kbps
• MAC CSMA não persistente
• Fluxo Stop and Wait
• Comunicação ar-solo
• Protocolo orientado a caractere

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Aeronautic Applications
Tipos de VDL
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Aeronautic Applications
Cenário 3
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Aeronautic Applications
Cenário 3 Colisões Fluxo
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Wireless Communication

• Analyze TCP Transport Control Protocol in
  wireless communications
• Propose modifications on TCP in order to improve
  its performance on satellite links
• A new structure is presented, as shown at the
  next figure.

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New structure
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Web Server Performance

• Using characteristics of sites, some important
  e-business infrastructure issues can be adequate,
  such as capacity, scalability, network bottleneck
  and performance.
• To answer What if questions, several
  architectures with servers, load balancers will
  be built and it will be analyzed by a capacity
  planning methodology for e-business.
• With the help of models, many questions such as
  site performance, availability and viability can
  be answer.

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Reference Model
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Business and Functional Model
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Client Model
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Resource Model
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Authentication Protocols Performance

• Analyze several authentication protocols
  performance in wireless channels (Small
  Adaptation of SIVAM)
• All simulations are being developed using the
  OPNET network simulator.

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How much time an aircraft spends to legalize
itself using the authentication protocol X ?
SIVAM Surveillance System of Amazônia
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Self-similar LAN/WAN Traffic Issues on High-speed
QoS Networks

• Nowadays, the explosion of the Internet brings up
  the exhaustive use of communication lines by
  computers all over the world, this feature
  brought a new brand research field on Queuing
  Theory. In fact, the data packets dynamics
  flowing through such channels have a sharp
  characteristic, regarding its statistical
  behavior, those stream-flows have an
  intrinsically scale invariance characteristic,
  i.e., whatever the observational scale of time
  is, the statistical properties (up to 2nd order)
  remains almost the same.

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Self-similar LAN/WAN Traffic Issues on High-speed
QoS Networks (cont.)

• This main feature is the core property of the
  so-called fractal processes. Hence, LAN/WAN
  network traffic can be considerated as having
  intrinsically Self-similar stochastic properties.
  With this in mind, real data traffic traces
  should be better emulated by theoretical models
  showing such one of a kind trait.
• Therefore, the Internet gave us the extraordinary
  chance to have a real Fractal Queuing Theory, a
  kind of super-set that under certain conditions,
  it is reduced to the well-known Classical
  (Markovian) Queuing Theory.

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Steps toward a good comprehension of a Fractal
Queuing Theory

• LAN/WAN Network Traffic Self-similar
  Characterization How to Know It.
• Network Dimensioning Formulae for Self-similar
  Traffic How to Deal With. All simulations are
  being developed using the OPNET network
  simulator.
• Jitter Estimation in Self-similar Traffic How
  Self-similarity is so pervasive in high-speed
  networks.
• Call Admission Control Algorithms for
  Self-similar Traffic How to Tame It.

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Electronic Engineering (IEE) Subnetworks
161.24.3.0 / 161.24.19.0
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Work Station1
Aggregated IP traffic
snmpget response
HUB
to/from other ITA Subnetworks
Main Router MIB SNMP agent
IP 161.24.238.10 (rrifi.cta.br)
snmpget request
Work Stationn
CTA Network 161.24.0.0
Scenary Where Aggregate Data Network was
Collected to be Analyzed
Network Control Center (NCC)
SNMP Manager
IP 161.24.3.22 (anibal)
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Internet Monitoring and Modeling
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