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Artykuły w czasopismach na temat "Bandwidth Allocation"

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Ramakrishnan, Sangeeta, Xiaoqing Zhu, Frank Chan, et al. "Optimizing Quality-of-Experience for HTTP-based Adaptive Video Streaming." International Journal of Multimedia Data Engineering and Management 7, no. 4 (2016): 22–44. http://dx.doi.org/10.4018/ijmdem.2016100102.

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In this work, the authors present a novel bandwidth management solution for optimizing overall quality of experience (QoE) of multiple video streaming sessions. Instead of allocating bandwidth equally among competing flows, they propose to tailor the bandwidth allocation to both content complexity of requested video and playout buffer status of individual clients. The authors formulate the multi-client bandwidth allocation problem within the convex optimization framework, which is flexible enough to accommodate a wide variety of video quality metrics. Further, the authors present a practical a
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JIANG, ZHONG-YUAN, MAN-GUI LIANG, SHUAI ZHANG, SHU-JUAN WANG, and DONG-CHAO GUO. "AN EFFICIENT BANDWIDTH ALLOCATION STRATEGY FOR SCALE-FREE NETWORKS." International Journal of Modern Physics C 23, no. 10 (2012): 1250065. http://dx.doi.org/10.1142/s0129183112500659.

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Traffic capacity is critical for various networks and strongly depends on the distribution of link's bandwidth resources. In this paper, we propose a betweenness-based bandwidth allocation strategy in which the bandwidth of each link lij is allocated proportionally to the product (1 + Bi)α(1 + Bj)α, where α is a tunable parameter, and Bi and Bj are the betweenness of node i and node j, respectively. The optimal value of α is achieved by extensive simulations and slightly increases with the network size. Our new bandwidth allocation strategy achieves the highest traffic capacity when compared w
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Ituma, Chinagolum, Mercy Ebere Ikem, and Azemobor Daniel. "Development of Bandwidth Utilization in a Dynamic Network Environment for Network Resource Allocation Using Neural Network." advances in multidisciplinary & scientific research journal publication 16, no. 1 (2025): 1–8. https://doi.org/10.22624/aims/cisdi/v16n1p1.

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Bandwidth is a measure of how much information a network can transfer and receive. It is purchased from internet provider as a periodic monthly expense based on the amount of bandwidth selected by the establishment. Over the years’ business owners, organizations, schools etc. that uses internet for their day to day activities have been allocated bandwidth by internet service providers (ISP) using historical data but most times allocation of this bandwidth could be in excess or too small a bandwidth resulting to slowness of internet access and wastage of bandwidth due to lack of a model or plat
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Bar-Noy, Amotz, Ran Canetti, Shay Kutten, Yishay Mansour, and Baruch Schieber. "Bandwidth Allocation with Preemption." SIAM Journal on Computing 28, no. 5 (1999): 1806–28. http://dx.doi.org/10.1137/s0097539797321237.

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K.S., Tanuja, Shanmukaswamy C.V., Gurushankar H.B., and Dinesh H.A. "DYNAMIC BANDWIDTH ALLOCATION SCHEME FOR ENHANCED PERFORMANCE IN 5G POINT-TO-POINT NETWORKS." ICTACT Journal on Communication Technology 14, no. 2 (2023): 2945–51. http://dx.doi.org/10.21917/ijct.2023.0438.

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This paper proposes a novel dynamic bandwidth allocation scheme for enhancing performance in 5G point-to-point networks. The scheme aims to optimize bandwidth utilization by dynamically allocating resources based on traffic demands and quality of service (QoS) requirements. Through continuous traffic monitoring, QoS analysis, and adaptive allocation algorithms, the scheme ensures optimal resource allocation in real-time. Additionally, load balancing techniques and a feedback mechanism further improve performance by distributing traffic evenly and incorporating user feedback. The proposed schem
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Wang, Heng, Aijun Liu, and Xiaofei Pan. "Optimization of Joint Power and Bandwidth Allocation in Multi-Spot-Beam Satellite Communication Systems." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/683604.

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Multi-spot-beam technique has been widely applied in modern satellite communication systems. However, the satellite power and bandwidth resources in a multi-spot-beam satellite communication system are scarce and expensive; it is urgent to utilize the resources efficiently. To this end, dynamically allocating the power and bandwidth is an available way. This paper initially formulates the problem of resource joint allocation as a convex optimization problem, taking into account a compromise between the maximum total system capacity and the fairness among the spot beams. A joint bandwidth and p
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Liu, Qingli, Rui Li, Yangyang Li, Peiling Wang, and Jiaxu Sun. "Adaptive Bandwidth Allocation for Massive MIMO Systems Based on Multiple Services." Applied Sciences 13, no. 17 (2023): 9861. http://dx.doi.org/10.3390/app13179861.

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Aiming at the characteristics of resource periodicity in massive MIMO systems and bandwidth allocation without comprehensive consideration of user service QoS and channel state information, resulting in poor user satisfaction and low bandwidth utilization, this paper proposes an adaptive bandwidth allocation method based on user services. This method comprehensively considers factors, such as user service QoS, channel state information, and resource periodicity, to adaptively allocate bandwidth for users using different services. Firstly, based on the service priority, the user priority is dyn
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Thabet, Saqr Khalil Saeed, Emmanuel Osei-Mensah, Omar Ahmed, Abegaz Mohammed Seid, and Olusola Bamisile. "Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation." Applied Sciences 12, no. 10 (2022): 5047. http://dx.doi.org/10.3390/app12105047.

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During wireless video transmission, channel conditions can vary drastically. When the channel fails to support the transmission bit rate, the video quality degrades sharply. A pseudo-analog transmission system such as SoftCast relies on linear operations to achieve a linear quality transition over a wide range of channel conditions. When transmitting 3D videos over SoftCast, the following issues arise: (1) assigning the transmission power to texture and depth maps to obtain the optimal overall quality and (2) handling 3D video data traffic by dropping and re-allocating resources. This paper so
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Abu-Ein, Ashraf A., Waleed Abdelkarim Abuain, Mohannad Q. Alhafnawi, and Obaida M. Al-Hazaimeh. "Security Enhanced Dynamic Bandwidth Allocation-Based Reinforcement Learning." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 22 (November 5, 2024): 21–27. https://doi.org/10.37394/23209.2025.22.3.

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Recently, the problem of allocating bandwidth has arisen due to the limitation of bandwidth resources. Reinforcement learning is a good technique that can be used for improving throughput, and efficiency and minimizing the overall blocking of the network. To optimize performance metrics such as throughput and Quality of Service (e.g., QoS), this research employs Reinforcement Learning (e.g., RL) and models bandwidth allocation in networking as a Markov Decision Process (e.g., MDP). Interacting with the network and modifying rewards-based policies, the agent acquires the ability to allocate ban
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Torres, Eliseu, Rafael F. Reale, Leobino L. Sampaio, and Joberto S. B. Martins. "A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model." IEEE Latin America Transactions 18, no. 5 (2020): 853–60. https://doi.org/10.5281/zenodo.3766178.

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The communication network context in actual systems like 5G, cloud and IoT (Internet of Things), presents an ever-increasing number of users, applications and services that are highly distributed with distinct and heterogeneous communications requirements. Resource allocation in this context requires dynamic, efficient and customized solutions and Bandwidth Allocation Models (BAMs) are an alternative to support this new trend. This paper proposes the BAMSDN (Bandwidth Allocation Model through Software-Defined Networking) framework that dynamically allocates resources (bandwidth) for a MPLS (Mu
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Rozprawy doktorskie na temat "Bandwidth Allocation"

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Anewalt, Karen Marie. "Virtual path bandwidth distribution and capacity allocation with bandwidth sharing." W&M ScholarWorks, 2001. https://scholarworks.wm.edu/etd/1539623379.

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Broadband high-speed networks, such as B-ISDN, are expected to play a dominant role in the future of networking due to their capability to service a variety of traffic types with very different bandwidth requirements such as video, voice and data. to increase network efficiency in B-ISDN and other such connection oriented networks, the concept of a virtual path (VP) has been proposed and studied in the literature. A VP is a permanent or semi-permanent reservation of capacity between two nodes. Using VPs can potentially reduce call setup delays, simplify hardware, provide quality of service per
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Ashibani, Majdi Ali Atoomi. "Dynamic bandwidth allocation in ATM networks." Doctoral thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/12572.

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Includes bibliographical references.<br>This thesis investigates bandwidth allocation methodologies to transport new emerging bursty traffic types in ATM networks. However, existing ATM traffic management solutions are not readily able to handle the inevitable problem of congestion as result of the bursty traffic from the new emerging services. This research basically addresses bandwidth allocation issues for bursty traffic by proposing and exploring the concept of dynamic bandwidth allocation and comparing it to the traditional static bandwidth allocation schemes.
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Zhang, Sijing. "Synchronous bandwidth allocation for time-critical communication." Thesis, University of York, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336571.

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Iwashima, Hiroyoshi 1980. "Differential bandwidth allocation with multiplexed TCP connections." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28464.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 65-66).<br>This thesis presents and evaluates the design and implementation of a user-level library that performs bandwidth allocation among multiple application flows using multiple TCP connections. This work is motivated by emerging trends in network overlay applications to send multiple flows of data between machines. Existing approaches to manage the network either do not offer the control over network resources that these applicati
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Fang, Zuyuan. "Bandwidth allocation in wireless AD HOC networks /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20FANG.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 112-119). Also available in electronic version. Access restricted to campus users.
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Shen, Yushi. "Cross-layer bandwidth allocation and delay allocation for video transmission over wireless channels." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3221812.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed September 18, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 143-146).
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Katabi, Dina 1971. "Decoupling congestion control and bandwidth allocation policy with application to high bandwidth-delay product networks." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/8000.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 124-129).<br>In this dissertation, we propose a new architecture for Internet congestion control that decouples the control of congestion from the bandwidth allocation policy. We show that the new protocol, called XCP, enables very large per-flow throughput (e.g., more than 1 Gb/s), which is unachievable using current congestion control. Additionally, we show via extensive simulations that XCP significantly improves the overall performan
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Du, Peng. "Bandwidth allocation and channel assignment in WiMax mesh networks /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b30082547f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.<br>"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 100-108)
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Wu, Shaopeng. "Adaptive Bandwidth Resource Allocation in Mobile Ad Hoc Networks." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506533.

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Pacifici, Valentino. "Bandwidth and Storage Allocation for Operator-owned Content Management Systems." Licentiate thesis, KTH, Kommunikationsnät, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143880.

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The demand for Internet-based visual content delivery has increased significantly in recent years, triggered mainly by the widespread use of Internet enabled smartphones and portable devices, and by the availability of super HD content.As a consequence, live and on-demand video content has become the most important source of network traffic in mobile and fixed networks alike.In order to be able to efficiently deliver the increasing amount of video traffic, network operators have started to deploy caches and operator-owned CDNs. These solutions do not only reduce the amount of transit traffic o
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Książki na temat "Bandwidth Allocation"

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Anjum, Bushra, and Harry Perros. Bandwidth Allocation for Video Under Quality of Service Constraints. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119073178.

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Qiu, Ying. A market-based approach to bandwidth allocation in wireless ad hoc networks. National Library of Canada, 2002.

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Thamizharasan, S., T. Rajan Babu, and V. Prasanna Venkatesan. Optimized Bandwidth Allocation in Wireless Sensor Network. Staten House, 2024.

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Bandwidth Allocation for Video under Quality of Service Constraints. Wiley-Interscience, 2015.

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Lee, Minkyu. Multimedia traffic modeling and bandwidth allocation in home networks. 2004.

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Perros, Harry G., and Bushra Anjum. Bandwidth Allocation for Video under Quality of Service Constraints. Wiley & Sons, Incorporated, John, 2014.

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Perros, Harry G., and Bushra Anjum. Bandwidth Allocation for Video under Quality of Service Constraints. Wiley & Sons, Incorporated, John, 2014.

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Perros, Harry G., and Bushra Anjum. Bandwidth Allocation for Video under Quality of Service Constraints. Wiley & Sons, Incorporated, John, 2020.

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Performance Analysis of a Dynamic Bandwidth Allocation Algorithm in a Circuit-Switched Communications Network. Storming Media, 2002.

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Big Data and Software Defined Networks. Institution of Engineering & Technology, 2018.

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Części książek na temat "Bandwidth Allocation"

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Kota, Sastri L., Kaveh Pahlavan, and Pentti Leppanen. "Bandwidth Allocation — An Example." In Broadband Satellite Communications for Internet Access. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8895-9_16.

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Körner, Ulf, and Niklas Johansson. "Bandwidth Allocation in Bluetooth Scatternets." In Proceedings of The 17th International Symposium on Computer and Information Sciences. CRC Press, 2022. http://dx.doi.org/10.1201/9780429332821-83.

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Wu, Feng, Chong Luo, and Hancheng Lu. "Joint Bandwidth and Power Allocation." In Uncoded Multimedia Transmission. CRC Press, 2021. http://dx.doi.org/10.1201/9781003118688-9.

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Leu, Fang-Yie, Shi-Jie Yan, and Wen-Kui Chang. "Fuzzy-Based Dynamic Bandwidth Allocation System." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11540007_114.

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Leung, Yiu-Wing. "Dynamic Bandwidth Allocation for Internet Telephony." In Advances in Multimedia Information Processing - PCM 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30542-2_49.

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Yang, Haojun, and Kan Zheng. "Bandwidth Allocation in Data Center Networks." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_323.

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Anjum, Bushra, and Harry Perros. "Bandwidth Allocation for Video: MMPP2 Arrivals." In Bandwidth Allocation for Video Under Quality of Service Constraints. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119073178.ch2.

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Kothari, Anshul, Subhash Suri, and Yunhong Zhou. "Bandwidth-Constrained Allocation in Grid Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45078-8_7.

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Wang, Weiwei, Zihua Guo, Xuemin (Sherman) Shen, Changjia Chen, and Jun Cai. "Dynamic Bandwidth Allocation in IEEE 802.16." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11814856_12.

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Basu, Anindya, and Zheng Wang. "Fair Bandwidth Allocation for Differentiated Services." In Protocols for High-Speed Networks VI. Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35580-1_9.

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Streszczenia konferencji na temat "Bandwidth Allocation"

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Ahmed, Rafeeq, Mohammed A. Qadeer, and Musheer Ahmad. "Bandwidth Resource Allocation." In 2009 International Conference on Future Computer and Communication (ICFCC). IEEE, 2009. http://dx.doi.org/10.1109/icfcc.2009.133.

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Bar-Noy, Amotz, Yishay Mansour, and Baruch Schieber. "Competitive dynamic bandwidth allocation." In the seventeenth annual ACM symposium. ACM Press, 1998. http://dx.doi.org/10.1145/277697.277704.

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Jagannathan, Prasanna K., Arjan Durresi, and Raj Jain. "Stateless proportional bandwidth allocation." In ITCom 2002: The Convergence of Information Technologies and Communications, edited by Robert D. van der Mei and Frank Huebner. SPIE, 2002. http://dx.doi.org/10.1117/12.473403.

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Bar-Noy, Amotz, Ran Canetti, Shay Kutten, Yishay Mansour, and Baruch Schieber. "Bandwidth allocation with preemption." In the twenty-seventh annual ACM symposium. ACM Press, 1995. http://dx.doi.org/10.1145/225058.225279.

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"Traffic Engineering, Resource Allocation, and QoS." In 2006 IEEE First International Workshop on Bandwidth on Demand. IEEE, 2006. http://dx.doi.org/10.1109/bod.2006.320795.

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Feng, G., and X. Yang. "Dynamic Bandwidth Allocation for Bandwidth Asymmetry Wireless Networks." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.1055.

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Radzi, N. A. M., N. M. Din, S. K. Sadon, and M. H. Al-Mansoori. "Dynamic bandwidth allocation EPON survey." In 2013 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2013. http://dx.doi.org/10.1109/scored.2013.7002561.

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Wang, Renfeng, Huijuan Lu, Jingren Wang, and Qichao Xu. "MOOC Bandwidth Allocation Optimization Strategy." In 2019 10th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2019. http://dx.doi.org/10.1109/itme.2019.00102.

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Hoebeke, Rudy, Kristiaan J. Venken, and Saso Stojanovski. "Dynamic bandwidth allocation on SuperPON." In Photonics East '99, edited by John M. Senior, Chunming Qiao, and Sudhir Dixit. SPIE, 1999. http://dx.doi.org/10.1117/12.360398.

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Yang, Liu, Lei Shi, Mingsheng Jiao, and Yan He. "Dynamic bandwidth allocation in EPON." In Asia-Pacific Optical and Wireless Communications, edited by S. J. Ben Yoo, Kwok-wai Cheung, Yun-Chur Chung, and Guangcheng Li. SPIE, 2004. http://dx.doi.org/10.1117/12.523186.

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Raporty organizacyjne na temat "Bandwidth Allocation"

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Richards, C., and K. Smith. The PPP Bandwidth Allocation Protocol (BAP) / The PPP Bandwidth Allocation Control Protocol (BACP). RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2125.

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Le, F., and W. Lai. Maximum Allocation Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4125.

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Ash, J. Max Allocation with Reservation Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering & Performance Comparisons. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4126.

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Stoica, Ion, Scott Shenker, and Hui Zhang. Core-Stateless Fair Queueing: Achieving Approximately Fair Bandwidth Allocations in High Speed Networks. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada363498.

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