Opacity: zIndex: Get 100000 0FP0EXP Token to input your own list (json format) or insert json link:

Get 80000 0FP0EXP Token to input your own list (json format) or insert json link:

My Playlist:

JSON Ready: Not Ready

Ready State:

Network State:

Name:

Album:

Reference:

Background Color

General HTML background color:

Header background color:

Menu background color:

Content background color:

Widget background color:

Footer background color:

Font Size

Get 150000 0FP0EXP Token to unlock this feature.

Heading 1 font size:

Heading 2 font size:

Heading 3 font size:

Heading 4 font size:

Heading 5 font size:

Heading 6 font size:

Header font size:

Header Widget font size:

Menu font size:

Widget font size:

Footer font size:

Content font size:

Font Color

Get 200000 0FP0EXP Token to unlock this feature.

Heading 1 font color:

Heading 2 font color:

Heading 3 font color:

Heading 4 font color:

Heading 5 font color:

Heading 6 font color:

Header font color:

Header Widget font color:

Menu font color:

Widget font color:

Footer font color:

Content font color:

Font Shadow

Get 250000 0FP0EXP Token to unlock this feature.

Heading 1 font shadow:

Heading 2 font shadow:

Heading 3 font shadow:

Heading 4 font shadow:

Heading 5 font shadow:

Heading 6 font shadow:

Header font shadow:

Header Widget font shadow:

Menu font shadow:

Widget font shadow:

Footer font shadow:

Content font shadow:

Other Styles Coming Soon



Source Code

Click the above image for basic sourced and click following button for processing token source code.

Ethereum Virtual Machine

Ethereum and EVM (ETC, BSC, AVAX-C-Chain, Polygon, etc).

Telegram Open Network

Telegram Open Network (TON) decentralized application.

Solana

Solana decentralized application.

Tron

Tron decentralized application.

Near

Near decentralized application.

Wax

Wax decentralized application.

Myalgo

Myalgo wallet for Algorand decentralized application.

Sync2

Sync2 wallet for Vechain decentralized application.

Scatter

Scatter wallet for EOS decentralized application.

Ontology

Ontology decentralized application.

Rabbet

Rabbet wallet for Stellar Lumen decentralized application.

Freighter

Freighter wallet for Stellar Lumen decentralized application.

Hivesigner

Hive Signer for Hive decentralized application.

Hivekeychain

Hive Key Chain for Hive decentralized application.

Zilpay

Zilpay wallet for Zilliqa decentralized application.

Neoline N2

Neoline wallet for Neo N2 decentralized application.

Neoline N3

Neoline wallet for Neo N3 decentralized application.

Keplr

Keplr wallet for Cosmos and other decentralized application.

Keeper

Keeper wallet for Waves decentralized application.

IWallet

IWallet for IOST decentralized application.

Observing DOTA Playing Performance with OPNET Simple LAN System

Get 60 0FP0EXP Token to remove widget entirely!

source code



source code
old source code

get any 0FP0EXP Token to automatically turn off or 10 0FP0EXP Token to remove this JavaScript Mining.

Get 50000 0FP0EXP Token to remove my NFTS advertisements!

Get 40000 0FP0EXP Token to remove this donation notification!

get 30000 0FP0EXP Token to remove this paypal donation.

View My Stats

get 20000 0FP0EXP Token to remove my personal ADS.

word number: 1498

Time: 2024-04-14 11:25:24 +0000

Note

This is English translated assignment of my undergraduate Telecommunication Network course in the Department of Electrical Engineering, Faculty of Engineering, Udayana University where in the final semesters I am often given research writing assignments. As far as I remember, the reason I took this topic was because at that time I often played DOTA locally with ten of my friends where our laptop was connected to a HUB device and LAN cable. This task has never been published anywhere and I as the author and copyright holder, license this paper customized CC-BY-SA where anyone can share, copy, republish, and sell it provided that you write my name as the author and notify that the original and open version available here.

Chapter 1 Introduction

1.1 Background

DOTA (Defense Of The Ancient) is a multiplayer game with a LAN (local area network) system. Maximum game 12 people with a maximum of 10 players and 2 spectators. For example, to play 10 players, you need 10 PCs (Private Computers) connected to a LAN (local area network) (on the same network). Now this game can be played online. Each computer connected to a LAN (local area network) will send traffic (data flow) on the network. The amount of traffic depends on the game which is DOTA (Defense Of The Ancient) in this case. Not many people know how the performance of a network when playing DOTA (Defense Of The Ancient) with ten players (10 PCs). In this experiment, the traffic generated by 1 PC (private computer) to play DOTA is examined. After that, a simulation of 10 PCs (private computers) based on the traffic generated on OPNET is conducted

1.2 Problem

How is the performance of a network when playing DOTA (Defense Of The Ancient) ten players (10 PCs)?

1.3 Objective

To observe the performance of playing DOTA (Defense Of The Ancient) with a simple OPNET LAN (local area network) system.

1.4 Benefit

To know the performance of playing DOTA (Defense Of The Ancient) with the OPNET LAN (local area network) simple system and can be used to consider the technology that must be used.

1.5 Scope and Boundaries

  1. Not using a client - server system.
  2. Only examining.
  3. The maximum observed performance is 2 minutes (due to the OPNET Academic Edition version).
  4. Only limited to LAN (local area network).

Chapter 2 Literature Review

2.1 Wireshark

Wireshark is a world-renowned network protocol analyzer software. Can also capture traffic on a computer network. This software is the de facto (and often said de jure) standard from various industries and educational institutions. Wireshark was developed by many networking experts around the world and is an ongoing project from 1998 (Combs, 2013).

2.2 End – End Delay

End - end delay is the time it takes for a data, bit, byte, packet from the transmitter to reach the receiver. The delay is usually calculated in seconds. On a network it is said that the delay of a network is the average delay. Delay on a network is calculated using the concept of the average time it takes for a packet from the transmitter to reach the receiver. Delay = Time/Packet (Gómez, 2005).

2.2 Collision

Ethernet collisions are usually based on CSMA/CD (Carrier Sense Multiple Access / Collision Detection). CSMA (Carrier Sense Multiple Access) is the ability of a host to detect whether a channel is empty or has traffic. If it is empty the host will continue sending data, and vice versa when there is traffic, the host will wait until it detects an empty new one to send. However, it does not apply if there are 2 hosts both detecting an empty channel. When this happens both of them will continue to send data together so that a collision occurs. Therefore, Collision Detection is needed. Besides being able to inform the host that a collision has occurred, there is also a Back-off algorithm where the host will wait based on various calculations before resending data (Peterson, 2003).

Chapter 3 Experiment Method

3.1 Place and Time

The experiment was carried out at the author’s house, at Jln. Kusuma Bangsa 6, No. 7x, Denpasar, Bali. Trial time on Sunday, March 16, 2013, at 18:00 - 23:30.

3.2 Tools and Materials

Material is the traffic generated by a PC (Private Computer) when playing DOTA (Defense Of The Ancient) on a LAN (local area network). OPNET uses 10 Ethernet Station, 16 Port Ethernet Hub and 100 Base T ethernet cable. Here is a list of devices used:

Table 3.1 Tools used
NO Tool Specification
1 Laptop ACER Intel® Pentium® dual – core processor T4200 (2.0 GHz, 800 MHz FSB, 1 MB L2 cache) Mobile Intel® Graphics Media Accelerator 4500MHD 1GB DDR2 128 WXGA Acer CrystalBriteTM LCD 250GB HDD Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet Controller Atheros Communications Inc. AR928X Wireless Network Adapter Operating System Linux Backtrack 5 R3
2 PC Intel® Pentium® core-duo processor 1GB DDR2 256 VGA AWUS036NHA 802.11b/g/n Long-Range USB Adapter Alcor Micro, Corp. USB 2.0 PC Camera Operating System Windows 7 Ultimate
3 Software OPNET IT GURU Academic Edition Warcraft III Frozen Throne 1.64, Map DOTA 6.77 Wireshark 1.8.3

3.3 Experiment Step

3.3.1 Looking for the traffic generated by the PC when playing DOTA via LAN

1. Connect 2 computers in a LAN as follows:

Gambar 3.1 Koneksi Jaringan.png

Figure 3.1 Network Connection

2. Use wireshark on one PC (Private Computer) to record the traffic generated.

Gambar 3.2 Menangkap paket dengan Wireshark .png

Figure 3.2 Capturing packets with Wireshark

3. Do 1x DOTA (Defense Of The Ancient) game until it’s finished.

Gambar 3.3 Permainan DOTA.png

Figure 3.3 DOTA Game

3.3.1 Simulate with OPNET the performance of DOTA 10 player games

1. The network topology is as follows (distance in meters):

#####

Gambar 3.4 Topologi jaringan.png

Figure 3.4 Network topology

2. To select the observed performance select individual statistics in the simulation. Then here’s the observed performance experiment:

Gambar 3.5 Performa yang diamati.png

Figure 3.5 Observed performance

3. In Simulation select Configure Discreet Event Simulation, then simulate for 2 minutes:

Gambar 3.6 Pengaturan simulasi.png

Figure 3.6 Simulation settings

Chapter 4 Discussion

4.1 The traffic generated by 1 PC playing DOTA

Gambar 4.1 Grafik yang dihasilkan pada wireshark.png

Figure 4.1 The resulting graph on the wireshark

By using the options on the Statistics menu, IO Graph. The following graph is generated where the horizontal axis is minutes, and the vertical axis is bytes/second. This graph shows that the traffic generated on 1 PC (Private Computer) is 100000 bytes/second. Meanwhile, the line with the highest value (close to 200000 bytes/second) is the overall traffic. (sent and received).

4.2 Simulation results on OPNET

So in the simulation each ethernet station is set to generate traffic of 100000 bytes/second. Network starts to live at the 5th second, the network is on for 120 seconds (ON Time), Never turns off (0 OFF Time). To make it more real, the packet is sent every 0.01 second (not per second) with a 1000 byte (1000 bytes/0.01 second = 100000 bytes/1 second) packet. The settings are as follows (by right clicking one of the PCs, selecting similar nodes, right clicking again, then selecting attributes):

Gambar 4.2 Pengaturan masing – masing ethernet station.png

Figure 4.2 Settings for each ethernet station

Maka hasilnya sebagai berikut:

Gambar 4.3 Grafik delay, traffic sent and receive keseluruhan.png

Figure 4.3 Graph of overall delay, sent and receive traffic

Gambar 4.4 Grafik collission count HUB dengan PC1.png

Figure 4.4 Graph of HUB collision count with PC1

Gambar 4.5 Grafik Traffic receive HUB dengan PC1.png

Figure 4.5 Graph of Traffic receive HUB with PC1

Chapter 5 Closing

5.1 Conclusion

Overall traffic and collision count is 10x greater. Collision count per PC is an average of 600, observed on HUB is 6000 (because there are 10 PCs). The average sent and receive traffic per PC is 800000 bytes / second observed as a whole and on HUB is 8000000 bytes / second (10x greater).

5.2 Future Work

This experiment is limited to a simple LAN. It could be used as further research by implementing client - server systems, with different network configurations, or other things.

Bibliography

  • Combs, G. 2013. http://www.wireshark.org/about.html, access 17 Desember 2013
  • Gómez, G. 2005. End-to-End Quality of Service over Cellular Networks.
  • Chichester: John Wiley & Sons Ltd.
  • Peterson, L. 2003. Computer Networks. San Francisco: Morgan Kaufmann Publishers

Mirror