Delay-Based Backhaul Modeling
| Autor: | Charles Clancy, Mo Ghorbanzadeh, Ahmed Abdelhadi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010302 applied physics
Computer science Distributed computing Network delay 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Network simulation Backhaul (telecommunications) Packet loss 0103 physical sciences NIST Android (operating system) 0210 nano-technology Hidden Markov model Network model |
| Zdroj: | Cellular Communications Systems in Congested Environments ISBN: 9783319462653 |
| DOI: | 10.1007/978-3-319-46267-7_8 |
| Popis: | Network simulation, for the purpose of application performance evaluation, using event-driven simulators such as Network Simulator (NS2) [2], Dummynet [3], and NIST [4] Net requires such a multitude of component settings, which makes large-scale networks inconducive to simulation. This has inspired developing simple generic models for networks, regardless of their size and complexity, by means of hidden Markov processes (HMPs) [5] Salamatian et al. [6] use conventional HMPs (CHMPs) [7] for packet loss modeling. Weiwei et al. [1, 5] deploy bivariate HMPs (BHMPs) for delay-based network modeling in that end-to-end delay drastically affects the performance of applications running on the network. Therefore, designing network models based on such delays is insightful to applications performance as HMP-generated observations represent actual delays the running applications will undergo. The authors in [8] used HMPs for security of Android applications at runtime, and [9] leveraged them for install-time security checks. Since HMP parameters are the only means of generating the delays, selecting an HMP variation and its precise inference is of high consequence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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