scholarly journals Analisis dan Perancangan Simulasi Perbandingan Kinerja Jaringan Komputer Menggunakan Metode Protokol Routing Statis, Open Shortest Path First (OSPF) dan Border Gateway Protocol (BGP) (Studi Kasus Tanri Abeng University)

2021 ◽  
Vol 4 (2) ◽  
pp. 53-63
Author(s):  
Sahril Amuda ◽  
Muhamad Femy Mulya ◽  
Felix Indra Kurniadi

Network is a communication between two devices to communicate with each other either using wire or wireless media. The LAN network topology used at Tanri Abeng Unversity still uses a static routing topology, where the routing process is still done manually, so that if there is an addition of a new network, it will be difficult to configure the routing table. In this research, a network topology with dynamic routing methods will be built that will help improve network performance at Tanri Abeng University. The purpose of this research is to analyze the comparison of network performance at Tanri Abeng Unversity in sending data packets using static routing protocols, OSPF, and BGP based on the parameters used. In this research also, the ping process was carried out using the cisco packet tracer 100 times with the size of the data packet sent of 32 bytes for each routing method to be compared. Then in this research, the test scenario was carried out eight times on each parameter of throughput, packet loss, delay, and jitter in the hope of determining which routing method is more optimal among static routing, OSPF, and BGP at Tanri Abeng University. The test results show that BGP routing for throughput and packet loss parameters is superior to other routing methods, while OSPF routing for delay and jitter parameters is superior to other routing methods.

2021 ◽  
Vol 2 (2) ◽  
pp. 127-133
Author(s):  
Icha Nurlaela Khoerotunisa ◽  
Sofia Naning Hertiana ◽  
Ridha Muldina Negara

  Over the last decade, wireless devices have developed rapidly until predictions will develop with high complexity and dynamic. So that new capabilities are needed for wireless problems in this problem. Software Defined Network (SDN) is generally a wire-based network, but to meet the needs of users in terms of its implementation, it has begun to introduce a Wireless-based SDN called Software Defined Wireless Network (SDWN) which provides good service quality and reach and higher tools, so as to be able to provide new capabilities to wireless in a high complexity and very dynamic. When SDN is implemented in a wireless network it will require a routing solution that chooses paths due to network complexity. In this paper, SDWN is tested by being applied to mesh topologies of 4,6 and 8 access points (AP) because this topology is very often used in wireless-based networks. To improve network performance, Dijkstra's algorithm is added with the user mobility scheme used is RandomDirection. The Dijkstra algorithm was chosen because it is very effective compared to other algorithms. The performance measured in this study is Quality of Service (QoS), which is a parameter that indicates the quality of data packets in a network. The measurement results obtained show that the QoS value in this study meets the parameters considered by the ITU-T G1010 with a delay value of 1.3 ms for data services and packet loss below 0.1%. When compared with the ITU-T standard, the delay and packet loss fall into the very good category.


2021 ◽  
Vol 8 (2) ◽  
pp. 235
Author(s):  
Rahmadhan Gatra ◽  
Bambang Sugiantoro

<p>Penelitian ini menjelaskan tentang perbandingan <em>routing</em> sebagai salah satu manajemen jaringan komputer. Tujuan penelitian ini adalah melakukan analisis terhadap protokol <em>routing</em> statik dengan <em>routing</em> 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 <em>routing </em>tersebut diukur menggunakan parameter QoS meliputi nilai dari <em>throughput, packet loss, delay</em>, dan <em>jitter</em>. Pengujian kinerja jaringan menggunakan skenario normal dan sibuk pada routing statik dan dinamis OSPF antara lain skenario normal <em>throughput</em> untuk <em>routing</em><em> </em>protokol statik sebanyak <em>598.10Bps</em> dan nilai untuk OSPF sebanyak <em>598.34Bps</em>, sedangkan skenario sibuk untuk <em>routing</em> protokol statik sebanyak <em>598.82Bps</em> dan nilai untuk OSPF sebesar <em>597.58Bps</em>. <em>Packet loss</em> skenario normal <em>routing</em> protokol statik sebanyak <em>0.2</em><em>3</em><em>%</em> dan nilai untuk OSPF sebanyak <em>0.27%</em> serta skenario sibuk untuk <em>routing</em> protokol statik sebanyak <em>0.2</em><em>4</em><em>%</em> dan OSPF sebanyak <em>0.26%</em>. Nilai <em>delay</em> skenario normal <em>routing</em> statik protokol sebanyak <em>59.</em><em>39</em><em>ms</em> dan nilai untuk OSPF sebanyak <em>59.3</em><em>6</em><em>ms</em>, sedangkan skenario sibuk untuk <em>routing</em> protokol statik sebanyak <em>59.</em><em>32</em><em>ms</em> dan nilai untuk OSPF sebanyak <em>59.44ms</em>. <em>Jitter</em> menggunakan skenario normal protokol <em>routing</em> statik sebanyak <em>0.98ms</em> dan nilai untuk OSPF sebanyak <em>0.98ms</em> serta skenario sibuk <em>routing</em> protokol statik sebanyak <em>0.98ms</em> dan nilai untuk OSPF sebanyak <em>0.99ms</em>. Parameter QoS menunjukkan bahwa <em>throughput</em> dan <em>delay</em> maka <em>routing</em> statik lebih optimal dibandingkan OSPF pada skenario sibuk, sedangkan pada skenario normal dan sibuk<em> jitter </em>dan <em>packet loss</em> lebih optimal <em>routing</em> protokol statik.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>This 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.</em></p><p><em><strong><br /></strong></em></p>


2019 ◽  
Vol 6 (1) ◽  
pp. 119
Author(s):  
Naufal Muhajir Abidin ◽  
D.M. Wiharta ◽  
N.P. Sastra

The backbone network infrastructure plan is one part of the development of information technology in the area of the Faculty of Engineering, Udayana University. Protocol Routing can be used to support data transmission, information, communication, etc. in the teaching and learning process. In practice, this region still uses the static routing method. But the increasing use of networks is designed by the New Network. The results of this design will be simulated with Cisco Packet Tracer 7.1.1. This new network uses the EIGRP routing protocol and will display some data, namely Packet loss, Throughput, Delay, and Fault Tolerant. Based on the results of testing and analysis of packet loss, in the 21 scenarios tested the same value is 0%. From this experiment the average throughput value was obtained 28.460 bps. This experiment the average value of Delay obtained is 10,95ms. Of the three trials, the data obtained included a very good category and entered at index 4 in the TIPHON qualification. In the Fault Tolerant test it is known that EIGRP has the ability to anticipate failures that occur on the network by finding alternative routes when the shortest path is not possible to pass.


2020 ◽  
Vol 9 (3) ◽  
pp. 296
Author(s):  
Slamet Riyadi ◽  
Ade Surya Budiman

The development of company's business area will have implications for the development of computer network infrastructure as a means of exchanging data and information between regions. As a company that continues to develop its business area, PT. Timur Raya Lestari requires a computer network infrastructure that is adaptive to the development of the number of branch offices. The company's computer network currently uses the Static Routing method in determining the interconnection path between Routers connecting the head office and branch offices. The development of a dynamic company must be accompanied by the development of a dynamic network infrastructure as well. Development of a network infrastructure that continues to develop requires Dynamic Routing Protocol. In this study, it was simulated the use of EIGRP as Dynamic Routing Protocol for PT. Timur Raya Lestari. From the simulation results using Cisco Packet Tracer software, it can be seen that there is a stable interconnection, both for existing networks plan and planning for adding networks on new branch offices.


2018 ◽  
Vol 6 (1) ◽  
pp. 39-49
Author(s):  
Doni Priadi

In this research, an application is made that can make it easier to transfer files or data by utilizing a wifi connection on a network and then transferring files via a web browser using Hypertext Transfer Protocol (HTTP) server technology which will be installed on an Android-based smartphone. After that, it is necessary to measure network performance to determine the quality of the network in accessing the application. The measured performance is Quality of Service (QoS), which is a parameter that shows the quality of data packets on the network. Based on the results of measurements carried out by connecting the server to the AH building network and the client accessing from the AI ??building network at the State Polytechnic of Malang, when compared to the ITU-T standard, the application delay is in the very good category, jitter is in the bad category, the throughput value depends on the size. data sent. For packet loss, it is in the very good category. Meanwhile, based on measurements made using the Apache benchmark software, out of the 1000 requests that were tested, none of them failed or failed.


KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 107-116
Author(s):  
Andika Agus Slameto ◽  
Rahmat Hidayat

Tunneling is the process of packaging data sent by other protocols in a network. Point to point over Ethernet (PPPOE) andSecure Socket Tunneling Protocol (SSTP) are protocols that function or are designed to carry out tunneling processes. Datasecurity in this case is a top priority, with the encapsulation and authentication process making tunnels one of the many waysto secure data in a network. Besides security, network performance is something that must be considered in providing goodservices. In the process of testing the performance of PPPOE and SSTP using the Quality of Service method, it can beconcluded that SSTP is better in the parameters of Througput, Delay, and Jitter while PPPOE is better in Packet Loss. In thesecurity testing phase, both protocols have encapsulated data packets sent over an http-based web.


2020 ◽  
Author(s):  
berry clember
Keyword(s):  

Koneksi jaringan komputer merupakan suatu hal yang mendasar dalam suatu jaringan karena bila koneksi bermasalah, maka semua jenis aplikasi yang dijalankan melalui jaringan komputer tidak dapat digunakan. Cisco Packet Tracer dapat digunakan untuk simulasi yang mencerminkan gambaran dari koneksi jaringan komputer pada sistem jaringan yang digunakan. Paper ini merancang dua buah perancangan, yakni perancangan dengan topologi mesh dan ring dari empat buah gedung dengan menggunakan software Cisco Packet Tracer dan menghubungkan jaringan antar gedung tersebut dengan perangkat berupa router, serta membandingkan hasil kinerja dari kedua perancangan tersebut. Parameter yang menjadi acuan dalam membandingkan kinerjanya adalah berupa delay, packet loss dan throughput. Dari analisis kinerja jaringan kedua perancangan tersebut untuk Perancangan I dari A ke B, A ke C dan A ke D didapat delay berturut-turut sebesar 114 ms, 110 ms dan 113 ms serta throughput sebesar 0,917 kbps, 1,258 kbps dan 1,638 kbps. Sedangkan untuk perancangan II dari A ke B, A ke C dan A ke D didapat delay berturut-turut sebesar 116 ms, 112 ms dan 140 ms serta throughput sebesar 1,252 kbps, 0,962 kbps dan 0,792 kbps. Sementara packet loss pada kedua perancangan tersebut adalah sama yaitu sebesar 2,5% .


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2681
Author(s):  
Kedir Mamo Besher ◽  
Juan Ivan Nieto-Hipolito ◽  
Raymundo Buenrostro-Mariscal ◽  
Mohammed Zamshed Ali

With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.


Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1774
Author(s):  
Ming-Chin Chuang ◽  
Chia-Cheng Yen ◽  
Chia-Jui Hung

Recently, with the increase in network bandwidth, various cloud computing applications have become popular. A large number of network data packets will be generated in such a network. However, most existing network architectures cannot effectively handle big data, thereby necessitating an efficient mechanism to reduce task completion time when large amounts of data are processed in data center networks. Unfortunately, achieving the minimum task completion time in the Hadoop system is an NP-complete problem. Although many studies have proposed schemes for improving network performance, they have shortcomings that degrade their performance. For this reason, in this study, we propose a centralized solution, called the bandwidth-aware rescheduling (BARE) mechanism for software-defined network (SDN)-based data center networks. BARE improves network performance by employing a prefetching mechanism and a centralized network monitor to collect global information, sorting out the locality data process, splitting tasks, and executing a rescheduling mechanism with a scheduler to reduce task completion time. Finally, we used simulations to demonstrate our scheme’s effectiveness. Simulation results show that our scheme outperforms other existing schemes in terms of task completion time and the ratio of data locality.


2021 ◽  
Author(s):  
Abebe Tadesse Bulti

Abstract An advancement on flood routing techniques is important for a good perdiction and forecast of the flow discharge in a river basins. Hydraulic and hydrologic routing techniques are widely applied in most simulation models separately. A combined hydrologic and hydraulic routing method is a recent approach that used to improve the modeling effort in hydrological studies. The main drawback of hydrologic routing methods was inaccuracy on downstream areas of the river basin, where the effect of hydraulic structures and the river dynamics processes are dominant. The hydraulic routing approaches are relatively good on a downstream reaches of a river. This research was done on the Awash River basin, at the upstream areas of a Koka dam. A combined hydrologic and hydraulic approach was used to assess the discharge and sediment flow in the river basin. The hydrologic routing method was applied at an upstream part of a river basin through a SWAT model. HEC-RAS model was applied at the middle and downstream areas of the study basin based on hydraulic routing principle. A combined routing method can improve the result from a simulation process and increases an accuracy on a prediction of the peak flow. It can simulate a flow discharges for both short and long-term duration, with good model performance indicators. Besides, sediment modeling was done by comparing a regression model, SWAT model, and combination of HEC-RAS and SWAT model. The result from the sediment modeling indicates that the regression model and combined model show good agreement in predicting the suspended sediment in the river basin. The integrated application of such different type of models can be one of the option for sediment modeling.


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