A UML-based method to specify the structural component of simulation-based queuing network performance models

Penelitian ini menjelaskan tentang perbandingan routing sebagai salah satu manajemen jaringan komputer. Tujuan penelitian ini adalah melakukan analisis terhadap protokol routing statik dengan routing dinamis OSPF pada jaringan komputer di lingkungan Universitas Islam Negeri Sunan Kalijaga Yogyakarta dengan metode studi literatur dan wawancara dalam pengumpulan data. Penelitian dibuat berdasarkan pemodelan (simulasi) berbasis aplikasi EVE-NG. Performa yang dihasilkan dari perbandingan routing tersebut diukur menggunakan parameter QoS meliputi nilai dari throughput, packet loss, delay, dan jitter. Pengujian kinerja jaringan menggunakan skenario normal dan sibuk pada routing statik dan dinamis OSPF antara lain skenario normal throughput untuk routing protokol statik sebanyak 598.10Bps dan nilai untuk OSPF sebanyak 598.34Bps, sedangkan skenario sibuk untuk routing protokol statik sebanyak 598.82Bps dan nilai untuk OSPF sebesar 597.58Bps. Packet loss skenario normal routing protokol statik sebanyak 0.23% dan nilai untuk OSPF sebanyak 0.27% serta skenario sibuk untuk routing protokol statik sebanyak 0.24% dan OSPF sebanyak 0.26%. Nilai delay skenario normal routing statik protokol sebanyak 59.39ms dan nilai untuk OSPF sebanyak 59.36ms, sedangkan skenario sibuk untuk routing protokol statik sebanyak 59.32ms dan nilai untuk OSPF sebanyak 59.44ms. Jitter menggunakan skenario normal protokol routing statik sebanyak 0.98ms dan nilai untuk OSPF sebanyak 0.98ms serta skenario sibuk routing protokol statik sebanyak 0.98ms dan nilai untuk OSPF sebanyak 0.99ms. Parameter QoS menunjukkan bahwa throughput dan delay maka routing statik lebih optimal dibandingkan OSPF pada skenario sibuk, sedangkan pada skenario normal dan sibuk jitter dan packet loss lebih optimal routing protokol statik. AbstractThis study describes the comparison of routing as one of computer network management. The purpose of this study is to analyze static routing protocols with OSPF dynamic routing on computer networks in the State Islamic University of Sunan Kalijaga Yogyakarta with literature study methods and interviews in data collection. The study was made based on modeling (simulation) based on EVE-NG applications. The performance resulting from the comparison of routing is measured using QoS parameters including the value of throughput, packet loss, delay, and jitter. Network performance testing uses normal and busy scenarios on static and dynamic OSPF routing, including normal throughput scenarios for static protocol routing as much as 598.10Bps and values for OSPF as much as 598.34Bps, while busy scenarios for static protocol routing as much as 598.82Bps and values for OSPF as 597.58 Bps. Normal packet routing scenario static routing protocols are 0.23% and OSPF values are 0.27% and busy scenarios for static protocol routing are 0.24% and OSPF are 0.26%. The normal scenario static routing protocol delay value is 59.39ms and the value for OSPF is 59.36ms, while the busy scenario for static protocol routing is 59.32ms and the value for OSPF is 59.44ms. Jitter uses a normal scenario of 0.98ms static routing protocol and 0.98ms for OSPF and 0.98ms for busy routing protocol scenarios and 0.99ms for OSPF. QoS parameters indicate that throughput and delay static routing is more optimal than OSPF in busy scenarios, whereas in normal and busy scenarios jitter and packet loss are more optimal static protocol routing.

Download Full-text

Interest Manager for Networked Driving Simulation Based on High-Level Architecture

10.20944/preprints201704.0129.v1 ◽

2017 ◽

Author(s):

Kareem Abdelgawad ◽

Jürgen Gausemeier ◽

Michael Grafe ◽

Jan Berssenbrügge

Keyword(s):

Network Performance ◽

Driving Simulation ◽

High Level Architecture ◽

Driving Simulators ◽

Simulation Data ◽

Distribution Management ◽

Simulation Based ◽

High Level ◽

Service Groups ◽

Network Overhead

In networked driving simulation, two or more human drivers participate interactively within a shared virtual environment. Thereby, typical applications of driving simulation can be extended to consider multi-driver scenarios, where a much closer approximation of reality with its unpredictability is achieved. However, the utilized network is typically prone to a considerable amount of message traffic. In addition to restricted system scalability, the resulting degradation of network performance leads to invalid simulation outcomes or unacceptable system behavior. High-level architecture (HLA) is an IEEE standard for networked simulation. Data distribution management (DDM) is one of the service groups provided by HLA standard. The aim of the DDM service is to reduce network traffic and to save effort required to process unnecessary received data. However, different approaches for current DDM implementations show major drawbacks in terms of utilization complexity, inefficiency, and yet added network overhead. This paper presents a concept of an interest manager that takes over the DDM functionality and avoids these drawbacks. Simulation data is exchanged between the participating driving simulators only when it is necessary according to the driving situations. The concept is validated by analyzing the network load of two driving maneuvers with and without the interest manager.

Download Full-text

Investigating the Impact of Latency on Network Performance in Software Defined Network: Simulation Based Approach

2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) ◽

10.1109/icabcd.2019.8851006 ◽

2019 ◽

Author(s):

Thabang A Maritjune ◽

Mthulisi Velempini

Keyword(s):

Network Performance ◽

Network Simulation ◽

Software Defined Network ◽

Simulation Based ◽

The Impact

Download Full-text