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Journal articles on the topic 'Diffserv'

To see the other types of publications on this topic, follow the link: Diffserv.

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Lopes, Nuno Vasco, Maria Joao Nicolau, and Alexandre Santos. "A QoS/Mobility-Aware Model for Mobile Internet." Journal of Communications Software and Systems 7, no. 2 (June 22, 2011): 41. http://dx.doi.org/10.24138/jcomss.v7i2.177.

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This paper proposes a QoS micro-mobility solution capable of providing QoS support for global mobility. The solution comprises enhancements with regards to the mobility management of Mobile IPv6 (MIPv6) and in the resourcemanagement of the Differentiated Services (DiffServ) QoS model. The mobility management of MIPv6 was extended with fast and local handovers in order to improve its efficiency in high dynamic micro-mobility scenarios.The DiffServ resource management was extended with adaptive and dynamic QoS provisioning in order to improve resource utilization in mobile IP networks. Furthermore, to improve resource utilization, the mobility and QoS messages have been coupled so that resource managementable to proactively react to mobility events can be attained.The performance improvement of the proposed solution inaddition to the model parametrization have been evaluated using a simulation model. Simulation results indicate that the solution avoids network congestion as well as the starvation of DiffServ classes of a lesser priority. Moreover, the results also indicate that bandwidth utilization for priority classes increased. The QoS offered to MN’s applications, in each DiffServ class, remained unchanged with MN mobility.

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2

Zhou, Jin He, and Guo Min Xia. "Experimental Research on Diffserv-Aware MPLS Traffic Engineering." Applied Mechanics and Materials 263-266 (December 2012): 1858–63. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1858.

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Diffserv-aware and Traffic Engineering combine the advantages of MPLS, Traffic Engineering (TE) and Differentiated Services (Diffserv, DS) to provide high performance and Quality of Service(QoS) in networks. We have designed three scenarios on Juniper Networks platforms to analyze the packet loss rate and delay for video, voice and data. The results show that MPLS DS-TE can improve the QoS for differentiated service effectively. The research has practical value for the development of DS-TE based on MPLS.

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3

Athuraliya, S., and H. Sirisena. "Active rate management in diffserv." IEEE Communications Letters 10, no. 6 (June 2006): 501–3. http://dx.doi.org/10.1109/lcomm.2006.1638629.

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4

Tong, Sheau-Ru, and Chun-Cheng Chang. "Harmonic DiffServ: Scalable support of IP multicast with Qos heterogeneity in DiffServ backbone networks." Computer Communications 29, no. 10 (June 2006): 1780–97. http://dx.doi.org/10.1016/j.comcom.2005.10.016.

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5

Phang, K. K., T. C. Ling, and T. F. Ang. "QoS Routing in Diffserv MPLS Networks." Malaysian Journal of Computer Science 22, no. 2 (December 1, 2009): 161–74. http://dx.doi.org/10.22452/mjcs.vol22no2.5.

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6

YI, Peng. "A Distributed DiffServ Supporting Scheduling Algorithm." Journal of Software 19, no. 7 (October 21, 2008): 1847–55. http://dx.doi.org/10.3724/sp.j.1001.2008.01847.

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7

Lee, Hoon. "DiffServ-Aware Pricing for Wireless Internet." Journal of Korean Institute of Communications and Information Sciences 37, no. 7B (July 31, 2012): 550–64. http://dx.doi.org/10.7840/kics.2012.37.7b.550.

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8

Zoulikha, Mekkakia Maaza. "Study of the Diffserv/RLM Cohabitation." Journal of Applied Sciences 10, no. 20 (October 1, 2010): 2469–73. http://dx.doi.org/10.3923/jas.2010.2469.2473.

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9

Li, Zhi, and Prasant Mohapatra. "QoS-aware multicasting in DiffServ domains." ACM SIGCOMM Computer Communication Review 34, no. 5 (October 15, 2004): 47–57. http://dx.doi.org/10.1145/1039111.1039112.

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10

Stankiewicz, R., and A. Jajszczyk. "Performance modeling of DiffServ meter/markers." International Journal of Communication Systems 23, no. 12 (November 29, 2010): 1554–80. http://dx.doi.org/10.1002/dac.1126.

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11

Du, Xiao Dan, Qing Hu, Hong Yu, Yu Ming Du, and Ying Qiao. "Realization of QoS Control Strategies in the next Generation Network on the Basis of Differentiated Service Model and Priority of Inter-Frame." Advanced Materials Research 317-319 (August 2011): 2440–43. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.2440.

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With the development of networks and wideband technology, Next Generation Network (NGN) evolves into integrated transmission network of the multimedia information which including data, voice, image, the real-time tasks, etc. The traditional IP network provides only "best-effort" service and cannot meet the needs of multi-media applications and the different demands of a variety of users for network transmission quality. On the basis of a detailed analysis to Differentiated service (DiffServ) model and the characteristics of MPEG-4 encoding, the QoS control strategy of video streaming in NGN is proposed. That is a QoS control strategy which uses priority of Inter-Frame combining with DiffServ model in network congestion. Simulation and testing results show that the strategy can improve the transmission quality of the video stream effectively in the case of limited bandwidth.

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12

Park, Seung-Chul. "DiffServ QoS Support in DSL Broadband Access Networks." KIPS Transactions:PartC 13C, no. 5 (October 30, 2006): 613–20. http://dx.doi.org/10.3745/kipstc.2006.13c.5.613.

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13

El Hachimi, Mohamed, Abdelhafid Abouaissa, and Pascal Lorenz. "Multicast Support in DiffServ Using Mobile Agents." ETRI Journal 27, no. 1 (February 11, 2005): 13–21. http://dx.doi.org/10.4218/etrij.05.0104.0043.

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14

BORKAR, V., and D. MANJUNATH. "Charge-based control of DiffServ-like queues☆." Automatica 40, no. 12 (December 2004): 2043–57. http://dx.doi.org/10.1016/s0005-1098(04)00221-3.

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15

Stattenberger, Günther, Torsten Braun, Matthias Scheidegger, Marcus Brunner, and Heinrich J. Stüttgen. "Performance evaluation of a Linux DiffServ implementation." Computer Communications 25, no. 13 (August 2002): 1195–213. http://dx.doi.org/10.1016/s0140-3664(01)00440-6.

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16

BOURAS, C., and A. SEVASTI. "SLA-based QoS pricing in DiffServ networks." Computer Communications 27, no. 18 (December 1, 2004): 1868–80. http://dx.doi.org/10.1016/s0140-3664(04)00236-1.

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17

Horbach, J., and U. Hübner. "DiffServ mit adaptiven Regeln als Management-Instrument." PIK - Praxis der Informationsverarbeitung und Kommunikation 25, no. 3 (September 2002): 138–43. http://dx.doi.org/10.1515/piko.2002.138.

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18

Wan, Zheng. "Evaluation of Video Streaming over DiffServ Domain." International Journal of Signal Processing, Image Processing and Pattern Recognition 8, no. 8 (August 31, 2015): 51–62. http://dx.doi.org/10.14257/ijsip.2015.8.8.06.

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19

Sans, B., C. Awad, and A. Girard. "Can diffserv guarantee IP QoS under failures?" IEEE Network 20, no. 4 (July 2006): 32–40. http://dx.doi.org/10.1109/mnet.2006.1668401.

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20

LIU, Wei. "Active Queue Management Algorithms in DiffServ Networks." Journal of Software 16, no. 6 (2005): 1120. http://dx.doi.org/10.1360/jos161120.

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21

Borkar, Vivek S., and D. Manjunath. "Charge-based control of DiffServ-like queues." Automatica 40, no. 12 (December 2004): 2043–57. http://dx.doi.org/10.1016/j.automatica.2004.07.012.

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22

Hosek, Jiri, Karol Molnar, Lukas Rucka, and Milan Bartl. "SNMP-based acquisition system for DiffServ parameters." Telecommunication Systems 52, no. 3 (June 18, 2011): 1595–604. http://dx.doi.org/10.1007/s11235-011-9516-2.

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23

Striegel, A., and G. Manimaran. "DSMCast: a scalable approach for DiffServ multicasting." Computer Networks 44, no. 6 (April 2004): 713–35. http://dx.doi.org/10.1016/j.comnet.2003.10.009.

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24

Song, Bok-Sob, and Jeong-Ho Kim. "QoS Analysis of 3GPP Service based on PBMN and DiffServ." Journal of the Korea Contents Association 11, no. 12 (December 28, 2011): 570–77. http://dx.doi.org/10.5392/jkca.2011.11.12.570.

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25

López Sarmiento, Danilo Alfonso, Diego A. Segura G., and Francisco J. González A. "COMPORTAMIENTO DE LOS SERVICIOS DIFERENCIADOS (DIFFSERV) Y LOS SERVICIOS INTEGRADOS (INTSERV) EN REDES IP PEQUEÑAS." Redes de Ingeniería 2, no. 1 (August 1, 2011): 4. http://dx.doi.org/10.14483/2248762x.7178.

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En el presente artículo se muestran los resultados obtenidos de la implementación de los modelos Diffserv e IntServ utilizando Network Simulator NS-2.33 sobre plataformas Linux con el fin de comparar el desempeño de los modelos, en factores como el throughput, la pérdida de paquetes, el jitter y el retardo.

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26

Zang, Seog-Ku, and Young-Han Kim. "A Design of Handoff-aware DiffServ Scheduler in TDD/CDMA Networks." KIPS Transactions:PartC 14C, no. 6 (October 31, 2007): 493–502. http://dx.doi.org/10.3745/kipstc.2007.14-c.6.493.

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27

Lopes, Nuno Vasco, Maria Joao Nicolau, and Alexandre Santos. "Evaluation of a Mobility/QoS-aware Architecture for Mobile Internet." Journal of Communications Software and Systems 8, no. 1 (March 21, 2012): 1. http://dx.doi.org/10.24138/jcomss.v8i1.171.

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This paper addresses the issue of mobility and QoS management principles as well as the mobility and QoSmanagement integration in the sense of build a QoS-awarearchitecture for mobile Internet. After covering the mobilityand QoS management principles and integration, this paper also proposes a new QoS-aware architecture for mobile Internet. This new architecture takes into account the specific characteristics of mobile networks in order to design an integrated Mobility/QoS-aware management architecture suitable for realtime applications requirements.The solution avoids network congestion as well as the starvation of less priority DiffServ classes while increasing resource utilization for priority classes while maintaining the QoS offer to MN’s applications by making each DiffServ class unchangeable with MNs mobility. The proposed mobility management model is simple, easy to implement, and takes into consideration mobile internet requirements. It proved to be capable of providing Internet applications running in mobile devices with acceptable levels of quality of service. The simulation results indicate that the suggested architecture is able to provide acceptable QoS levels to real-time applications that are running in mobiles devices.

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28

Zheng, Xiuping, Nannan Zhang, Georigi M. Dimirovski, and Yuanwei Jing. "Adaptive Sliding Mode Congestion Control for DiffServ Network." IFAC Proceedings Volumes 41, no. 2 (2008): 12983–87. http://dx.doi.org/10.3182/20080706-5-kr-1001.02195.

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29

Xiao, Yang, Lingyun Lu, and Kiseon Kim. "Diffserv AQM algorithm for edge and core routers." Journal of Systems Engineering and Electronics 21, no. 6 (December 2010): 1033–40. http://dx.doi.org/10.3969/j.issn.1004-4132.2010.06.016.

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30

Gao, Qian. "IP Multicast in DiffServ Network： Problems and Solutions." Journal of Computer Research and Development 42, no. 5 (2005): 823. http://dx.doi.org/10.1360/crad20050516.

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31

Bouras, Christos, and Afrodite Sevasti. "Service level agreements for DiffServ-based services' provisioning." Journal of Network and Computer Applications 28, no. 4 (November 2005): 285–302. http://dx.doi.org/10.1016/j.jnca.2004.07.001.

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32

Sudha, S., and N. Ammasaigounden. "An aggregate marker for bandwidth fairness in DiffServ." Journal of Network and Computer Applications 35, no. 6 (November 2012): 1973–78. http://dx.doi.org/10.1016/j.jnca.2012.07.020.

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33

ATHURALIYA, SANJEEWA, and HARSHA SIRISENA. "AN ENHANCED TOKEN BUCKET MARKER FOR DIFFSERV NETWORKS." International Journal on Wireless & Optical Communications 02, no. 01 (June 2004): 99–114. http://dx.doi.org/10.1142/s0219799504000246.

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34

El Hachimi, M., A. Abouaissa, P. Lorenz, and M. O. Lee. "Scalable Multicast Provisioning in DiffServ with MPLS Labeling." Telecommunication Systems 27, no. 2-4 (October 2004): 253–72. http://dx.doi.org/10.1023/b:tels.0000041011.21556.da.

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35

Li, Jung-Shian, Hsing-Chien Lai, and Yi-Ting Lin. "Achieving proportional DiffServ per-hop behaviour with PLQF." International Journal of Communication Systems 16, no. 8 (2003): 715–33. http://dx.doi.org/10.1002/dac.614.

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36

Wan, Zheng. "Inner-Priority based Video Streaming in DiffServ Domain." International Journal of Multimedia and Ubiquitous Engineering 10, no. 5 (May 31, 2015): 207–20. http://dx.doi.org/10.14257/ijmue.2015.10.5.19.

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37

Bless, R., M. Doll, K. Wehrle, and M. Zitterbart. "DiffServ-basierte Dienstgüte im Internet der nächsten Generation." PIK - Praxis der Informationsverarbeitung und Kommunikation 25, no. 2 (June 2002): 104–11. http://dx.doi.org/10.1515/piko.2002.104.

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38

Xiao, Yang, Kim Kiseon, and Guangzhi Qu. "A New DiffServ Edge Router with Controlled-UDP." Chinese Journal of Electronics 24, no. 1 (January 1, 2015): 176–80. http://dx.doi.org/10.1049/cje.2015.01.029.

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39

Li, Na, Marissa Borrego, and San-Qi Li. "Achieving per-flow fair rate allocation in Diffserv." ACM Transactions on Modeling and Computer Simulation 11, no. 2 (April 2001): 161–81. http://dx.doi.org/10.1145/384169.384171.

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40

Quan, Zhi, and Jong-Moon Chung. "Queue Length Analysis of Non-Preemptive DiffServ Networks." AEU - International Journal of Electronics and Communications 57, no. 5 (January 2003): 338–40. http://dx.doi.org/10.1078/1434-8411-54100181.

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41

Jin-Yu, Zhang, Li Liu, Li Hong-Hui, and Feng Liu. "Quantitative QoS Management Implement Mechanism in IP-DiffServ." Journal of Computer Science and Technology 20, no. 6 (November 2005): 831–35. http://dx.doi.org/10.1007/s11390-005-0831-5.

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42

Elshaikh, M. A., M. Othman, S. Shamala, and J. M. Desa. "A new fair marker algorithm for DiffServ networks." Computer Communications 31, no. 14 (September 2008): 3064–70. http://dx.doi.org/10.1016/j.comcom.2008.03.032.

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43

Wang, Chonggang, Keping Long, Jian Yang, and Shiduan Cheng. "An effective feedback control mechanism for DiffServ architecture." Journal of Computer Science and Technology 17, no. 4 (July 2002): 420–31. http://dx.doi.org/10.1007/bf02943282.

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44

Hsu, Wu-Hsiao, and Yuh-Pyng Shieh. "DiffServ-aware multicasting in a mobile IPv6 network." Telecommunication Systems 54, no. 4 (August 2, 2013): 373–86. http://dx.doi.org/10.1007/s11235-013-9743-9.

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45

Pessoa, Manuel, Ant�nio Alves, Gon�alo Quadros, Fernando Boavida, Michael Henke, Milva Natcheva, Patrick Halke, et al. "PROQOS?Dynamic SLA Management in DiffServ Space Links." Journal of Network and Systems Management 12, no. 4 (December 2004): 441–61. http://dx.doi.org/10.1007/s10922-004-0671-6.

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46

Zapata Rodríguez, Miroslava, Franklin Pacheco Chiguano, Edison De la Torre, and María Vallejo Baldeón. "Evaluación de Parámetros de QoS en una Red VPN-MPLS Diffserv bajo un Entorno Completo de Emulación de Software Libre." Revista Científica y Tecnológica UPSE 4, no. 3 (December 18, 2017): 74–82. http://dx.doi.org/10.26423/rctu.v4i3.285.

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El uso de redes de redes privadas virtuales (VPN-MPLS) se ha vuelto muy común dentro de las empresas gracias a sus múltiples ventajas tales como, la comunicación privada a través de una infraestructura de red pública entre sitios geográficamente diversos. Esto lleva a la necesidad de una red eficiente en términos de calidad de servicio (QoS) para garantizar la fiabilidad y la seguridad de la información. Sin embargo, la implementación de una red VPN-MPLS no es fácil ni económica para las pequeñas y medianas empresas; por lo tanto, en la mayoría de los casos, se requiere usar emuladores que tampoco son gratis. La presente investigación analizó una red VPN-MPLS en términos de métricas QoS: delay, jitter y packet loss. Esta evaluación se realizó en un entorno virtual utilizando sólo herramientas de software libre bajo dos escenarios de prueba, con y sin Servicios Diferenciados (DiffServ). Los resultados mostraron que una red VPN-MPLS DiffServ reduce el delay en aproximadamente 96.78% en VoIP, 39.21% en Datos y 66.83% en Streaming; Además, el jitter se redujo en aproximadamente 27,88% en VoIP y 41,09% en datos.

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47

Zotos, Nikolaos, Evangelos Pallis, and Anastasios Kourtis. "Performance Evaluation of Triple Play Services Delivery with E2E QoS Provisioning." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/836501.

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The creation and wide use of new high quality demanding services (VoIP, High Quality Video Streaming) and the delivery of them over already saturated core and access network infrastructures have created the necessity for E2E QoS provisioning. Network Providers use at their infrastructures several kinds of mechanisms and techniques for providing QoS. Most known and widely used technologies are MPLS and DiffServ. The IEEE 802.16-2004 standard (WiMAX) refers to a promising wireless broadband technology with enhanced QoS support algorithms. This document presents an experimental network infrastructure providing E2E QoS, using a combination of MPLS and DiffServ technologies in the core network and WiMAX technology as the wireless access medium for high priority services (VoIP, High Quality Video Streaming) transmission. The main scope is to map the traffic prioritization and classification attributes of the core network to the access network in a way which does not affect the E2E QoS provisioning. The performance evaluation will be done by introducing different kinds of traffic scenarios in a saturated and overloaded network environment. The evaluation will prove that this combination made feasible the E2E QoS provisioning while keeping the initial constrains as well as the services delivered over a wireless network.

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48

Mitra Unik, Soni Soni, and Randra Aguslan Pratama. "PENERAPAN METODE HTB DAN DIFFSERV GUNA PENINGKATAN QOS PADA LAYANAN VIDEO STREAMING." JURNAL FASILKOM 9, no. 3 (November 14, 2019): 35–40. http://dx.doi.org/10.37859/jf.v9i3.1665.

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Abstract One of the popular internet services in use today is video streaming, either live (live streaming) or pre-recorder. Streaming video is a type of streaming media where data from video files is continuously transmitted over the internet to remote users. This fundamental problem appears to be influenced by the biggest factor which is the limited infrastructure of network resources which causes poor video quality. The process of digital video communication is known to consume quite a large resource, because in general the bandwidth requirements for sending Video and Audio signals. To maintain the quality of the video being played, there are several instruments needed, one of which is a data connection that is required to have Quality of Service (QoS). The parameters used in the measurement of QoS are delay, jitter, packet loss, throughput. This study uses the PPDIO method as a workflow with a Network Lifecycle approach. In this research, there are many factors that influence the quality of video, namely network factors and hardware factors. The test results obtained are not absolute, so it is possible that there will be differences in subsequent testing. Encoding also affects the quality of the video. Bandwidth equalization according to priority when the traffic conditions of all packets are full. Based on a comparative analysis of QoS parameter calculations using HTB and Diffserv methods, a comparison of throughput, jitter and delay does not differ greatly between clients. Keywords: Video Streaming, Diffserv, HTB, QoS Abstrak Salah satu layanan dari internet yang populer digunakan saat ini adalah video streaming, baik secara langsung (live streaming) atau pre-recorder. Streaming video merupakan jenis streaming media dimana data dari file video secara terus menerus dikirimkan melalui jaringan internet ke pengguna jarak jauh. Permasalahan mendasar ini muncul dipengaruhi oleh faktor terbesar yaitu terbatasnya infrastruktur sumber daya jaringan yang menyebabkan kualitas video yang buruk. Proses komunikasi digital video, diketahui menghabiskan resource yang cukup besar, dikarenakan Secara umum kebutuhan bandwidth untuk mengirimkan sinyal Video dan Audio. Guna menjaga kualitas dari video yang dimainkan, terdapat beberapa instrument yang dibutuhkan, salah satunya adalah koneksi data yang wajib memiliki Quality of Service (QoS). Adapun Parameter yang digunakan dalam pengukuran QoS adalah delay, jitter, packet loss, Throughput. Penelitian ini menggunakan metode PPDIO sebagai alur kerja dengan pendekatan Network Lifecycle. Pada penelitian ini didapat Banyak faktor yang mempengaruhi kualitas dari video yaitu faktor jaringan dan faktor dari Hardware. Hasil pengujian didapat tidaklah mutlak sehingga tidak menutup kemungkinan akan ada perbedaan pada pengujian selanjutnya. Encoding juga mempengaruhi kualitas dari video. pemerataan Bandwidth sesuai prioritasnya saat kondisi traffic seluruh paket penuh. Berdasarkan analisa perbandingan perhitungan parameter QoS menggunakan metode HTB dan Diffserv, didapatkan perbandingan troughput, jitter dan delay yang tidak berbeda jauh antara klien. Kata kunci: Video streaming, Diffserv, HTB, QoS

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49

王, 留芳. "Implementation Mechanism of DiffServ Based on IPv6 Flow Label." Computer Science and Application 04, no. 10 (2014): 234–39. http://dx.doi.org/10.12677/csa.2014.4100032.

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50

F. Hussien, Loay, A. H. Aisha-Hassan, Mohamed Hadi Habaebi, Othman O. Khalifa, and Shihab A. Hameed. "Development of Analytical Approach to Evaluate (DiffServ-MIPv6) Scheme." Research Journal of Applied Sciences, Engineering and Technology 7, no. 12 (March 29, 2014): 2529–38. http://dx.doi.org/10.19026/rjaset.7.563.

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