Chaotic Dynamic Analysis of MPEG-4 Video Traffic and Its Influence on Packet Loss Ratio

2005 ◽  
pp. 941-950 ◽  
Author(s):  
Fei Ge ◽  
Yang Cao ◽  
Yuan-ni Wang
Keyword(s):  
Dynamic Analysis ◽  
Packet Loss ◽  
Chaotic Dynamic ◽  
Loss Ratio ◽  
Video Traffic ◽  
Packet Loss Ratio

scholarly journals STUDI ANALISIS EFEK PERBEDAAN LOKASI TERHADAP PERFORMANSI VIDEO STREAMING PADA JARINGAN W-LAN INDOSAT

2013 ◽  
Vol 4 (1) ◽  
Author(s):  
Said Atamimi
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Packet Loss ◽  
Wireless Lan ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Delay Jitter ◽  
User Coverage

Video streaming adalah aplikasi yang dapat melayani kebutuhan user akan data yang bersifat real time. Dengan adanya teknologi wireless LAN, user akan semakin dimudahkan dalam mengakses informasi seperti video streaming kapan saja dan di lokasi mana saja.Penelitian ini ditujukan agar dapat memperlihatkan hasil video streaming dari beberapa lokasi dalam lingkungan kantor Indosat. Dalam percobaan ini menggunakan beberapa perangkat antara lain satu buah server streaming, satu klien yang menggunakan laptop dan AP yang memang sudah ada dalam jaringan LAN Indosat serta skenario lokasi yang telah ditentukan sebagai tempat pengambilan data. Kemudian dilanjutkan pada tahap pengamatan sistem dengan melakukan peng-capture-an paket untuk mendapatkan data berupa throughput, delay, jitter, dan packet loss ratio dari tiap-tiap lokasi yang telah ditentukan.Hasil Penelitian ini, dengan adanya perbedaan lokasi mengakibatkan perbedaan dari kualitas video streaming berdasarkan parameter- parameter yang telah didapat pada percobaan.Kata Kunci : video streaming, wireless LAN, user, coverage

scholarly journals Study of Indoor Small Cell Deployments

2021 ◽  
Author(s):  
Rui R. Paulo ◽  
Fernando J. Velez ◽  
Bahram Khan
Keyword(s):  
Packet Loss ◽  
Small Cell ◽  
Small Cells ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Overall Performance ◽  
The One ◽  
Performance Results ◽  
Effective Sinr

This work aims at studying the indoor deployment of small cells, also known as femtocells, to provide coverage to a 5×5 grid geometry. The number of deployed HeNBs is 4, 5, or 6. An updated version of LTE-Sim is considered to extract values for Exponential Effective SINR Mapping (EESM), Packet Loss Ratio (PLR), maximum number of supported users, goodput and delay. Results reveal that the use of four HeNBs corresponds to the highest values of EESM. For the considered geometry, 3GPP suggested a maximum of five HeNBs. However, this deployment shows worser performance compared to the topology with four HeNBs. The geometry with six HeNBs is the one with the best overall performance results for the 5×5 grid of apartments.

scholarly journals A Hybrid Rate Adaptation Framework for MPEG-4 FGS Video Streaming Over IP

2021 ◽  
Author(s):  
Colin Xialin Huang
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Packet Loss ◽  
Transmission Rate ◽  
Rate Adaptation ◽  
The Internet ◽  
Loss Ratio ◽  
Video Streams ◽  
Packet Loss Ratio ◽  
Streaming Applications

There are increasing demands for real-time streaming video applications over the Internet. However, the current generation Internet was not originally designed for real-time streaming applications and only provides best-effort services, so there are many challenges in the deployment of video streaming applications over the Internet. This thesis investigates a hybrid end-to-end rate adaptation framework that provides application-level enhancements to achieve Quality of Service (QoS) for MPEG-4 FGS-Encoded video bandwidth on the path and the terminal process capabilities based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the proportion of load status feedbacks from the receivers. The sender and the receivers act together to minimize the possibility of network congestion by adjusting the transmission rate to match the network conditions. This framework achieves inter-receiver fairness in a heterogeneous multicast environment and improves QoS stability for MPEG-4 FGS video streaming over the Internet.

Passive Method for Estimating Packet Loss Ratio Based on TCP Retransmission Behavior

2013 ◽  
Vol E96.B (7) ◽  
pp. 1908-1917
Author(s):  
Takuya TOJO ◽  
Hiroyuki KITADA ◽  
Kimihide MATSUMOTO
Keyword(s):  
Packet Loss ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Passive Method

Evaluation of Burst/Packet Loss Ratio in a Bufferless OBS/OPS Network With $1+X$ Path Protection

2016 ◽  
Vol 28 (15) ◽  
pp. 1688-1691 ◽  
Author(s):  
Shuo Li ◽  
Meiqian Wang ◽  
Eric W. M. Wong ◽  
Harald Overby ◽  
Moshe Zukerman
Keyword(s):  
Packet Loss ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Path Protection

scholarly journals PEMODELAN DAN SIMULASI JARINGAN BACKBONE METRO ETHERNET KOTA SEMARANG TAHUN 2028 MENGGUNAKAN SIMULATOR RIVERBED MODELER 17.5

TRANSIENT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 971
Author(s):  
Danur Ilham Khoiruman ◽  
Sukiswo Sukiswo ◽  
Ajub Ajulian Zahra
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Loss Ratio ◽  
Round Trip ◽  
Packet Loss Ratio ◽  
Riverbed Modeler ◽  
Round Trip Delay

Metro Ethernet merupakan salah satu teknologi untuk memberikan solusi terintegrasi untuk layanan suara, data dan video dalam cakupan yang luas (perkotaan). Teknologi ini memiliki kecepatan transmisi data sebesar 10 Mbps - 100 Gbps. Suatu jaringan harus memiliki kualitas layanan dan kapasitas yang memadai baik dari segi kapasitas link, router dan performansi QoS (Quality of Service). Pada penelitian ini, dirancang jaringan metro ethernet dengan kapasitas sesuai kebutuhan masyarakat kota Semarang tahun 2028 dengan kualias layanan yang sesuai dengan standar PT. Telkom dan ITU-T. Pemodelan dan pembuatan simulasi rancangan jaringan menggunakan perangkat lunak Riverbed Modeler 17.5. Perbandingan protocol routing RIP dan OSPF dengan parameter waktu konvergensi dilakukan sebelum analisis QoS, dengan tujuan mendapatkan rekomendasi protocol routing yang terbaik. Analisis parameter QoS yang diukur meliputi round trip delay (RTD), jitter, packet loss, utilisasi dan volume trafik. Hasil perbandingan protocol routing menunjukkan bahwa protocol routing OSPF memiliki waktu konvergensi lebih cepat 2 kali lipat dari protokol RIP. Hasil analisis QoS menyatakan bahwa QoS semua link telah sesuai dengan standar yang ada, nilai terbesar untuk RTD adalah 1,265 ms, untuk jitter adalah 0,7331 ms, untuk packet loss ratio adalah 0,00019214 %, untuk utilisasi tertinggi yaitu 58,4%, dan volume trafik terbesar adalah 91.636 Mbps.

scholarly journals Cross-Layer Scheduling and Resource Allocation for Heterogeneous Traffic in 3G LTE

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Richard Musabe ◽  
Hadi Larijani
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
User Satisfaction ◽  
Heterogeneous Traffic ◽  
Cross Layer ◽  
Loss Ratio ◽  
Packet Loss Ratio ◽  
Best Effort ◽  
Proportional Fair ◽  
Real Time Traffic

3G long term evolution (LTE) introduces stringent needs in order to provide different kinds of traffic with Quality of Service (QoS) characteristics. The major problem with this nature of LTE is that it does not have any paradigm scheduling algorithm that will ideally control the assignment of resources which in turn will improve the user satisfaction. This has become an open subject and different scheduling algorithms have been proposed which are quite challenging and complex. To address this issue, in this paper, we investigate how our proposed algorithm improves the user satisfaction for heterogeneous traffic, that is, best-effort traffic such as file transfer protocol (FTP) and real-time traffic such as voice over internet protocol (VoIP). Our proposed algorithm is formulated using the cross-layer technique. The goal of our proposed algorithm is to maximize the expected total user satisfaction (total-utility) under different constraints. We compared our proposed algorithm with proportional fair (PF), exponential proportional fair (EXP-PF), and U-delay. Using simulations, our proposed algorithm improved the performance of real-time traffic based on throughput, VoIP delay, and VoIP packet loss ratio metrics while PF improved the performance of best-effort traffic based on FTP traffic received, FTP packet loss ratio, and FTP throughput metrics.

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