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Relevant bibliographies by topics / Network Bandwidth Optimization

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Academic literature on the topic 'Network Bandwidth Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Network Bandwidth Optimization"

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Ganie, Aadil Gani. "Private network optimization." Multidiszciplináris tudományok 11, no. 4 (2021): 248–54. http://dx.doi.org/10.35925/j.multi.2021.4.29.

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The main challenging task in laying a network is not to define its topology but to calculate its cost-benefit analysis, which is a research-oriented work. In any network, be it intra or internetwork, the main focus is always on optimizing cost and bandwidth. PSWAN is a medium-sized network at the Directorate of information technology India; this networking project provides internet services to many governmental and private offices. Optimization was required as the number of devices connected to this network was more. Two parameters that were optimized are 1. Bandwidth, and 2. Cost. Cost optimi

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Sirait, Fadli, Akhmad Wahyu Dani, Yuliza Yuliza, and Ulil Albab. "OPTIMIZATION IN QUALITY OF SERVICE FOR LTE NETWORK USING BANDWIDTH EXPANSION." SINERGI 23, no. 1 (2019): 47. http://dx.doi.org/10.22441/sinergi.2019.1.007.

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QoS (Quality of Service) of LTE networks can bring the providers to provide broadband services with high performance to end user. Furthermore, the expected data rate transfer is up to 300 Mbit/s per user while the range of bandwidth varies from 1.4 MHz to 20 MHz. The network worked in 1800 MHz bands, 64 QAM modulation technique and used 10 MHz and 15 MHz channel bandwidth. There is a congestion problem for LTE network with 10 MHz channel bandwidth due to high utilization. The paper tries to analyze the QoS parameters, named Key Performance Indicators (KPI) for LTE Networks to solve the problem

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Ganie, Aadil Gani. "Optimization of PSWAN in terms of cost and bandwidth." International Journal of Information Technology and Business 1, no. 1 (2018): 42–47. http://dx.doi.org/10.24246/ijiteb.112018.42-47.

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PSWAN is an internetworking project undertaken by Govt. of India at Pondicherry. It covers a vast area, under it there are various state headquarters and district headquarters. Approximately 3000 systems are using its internet services. Since the number of systems are more and the bandwidth required is less so optimization was needed. Optimization was required without hardware modifications, so we defined some of the parameters through which we can achieve the optimization of this network, these parameters are 1. Type of protocol 2. Type of Topology 3. Access policies 4. Load balancing 5. Traf

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Sutanto, Imam, Sri Wahjuni, Jarot Prianggono, and Sugi Guritman. "Optimization Distance Learning Computer of Network." Computer Engineering and Applications Journal 8, no. 1 (2019): 65–76. http://dx.doi.org/10.18495/comengapp.v8i1.271.

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Implementation Distance Learning (DL) lecture at High School of Police Science namely Sekolah Tinggi Ilmu Kepolisian (STIK-PTIK) consisted of 32 Polisi Daerah (POLDA) in lecture Distance Learning (DL) throughout Indonesia. System bandwidth management using the method of simple queue, the simple queue is lacking both in bandwidth allocation. Optimization against computer networks in improving Quality of Service (QoS) using the method Per Connection Queue (PCQ) Queue Tree with four classes to model. Scale model of a priority bandwidth specifically as a model of optimization of computer networks

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Hu, Hang, Hang Zhang, Hong Yu, and Javad Jafarian. "Throughput Optimization via Cooperative Spectrum Sensing with Novel Frame Structure." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/975860.

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In cognitive radio (CR) networks, cooperation can greatly improve the performance of spectrum sensing. In this paper, we propose a novel cooperative spectrum sensing (CSS) frame structure in which CR users conduct spectrum sensing and data transmission concurrently over two different parts of the primary user (PU) spectrum band. Energy detection sensing scheme is used to prove that there exists an optimal sensing bandwidth which yields the highest throughput for the CR network. Thus, we focus on the optimal sensing settings of the proposed sensing scheme in order to maximize the throughput of

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Chen, Chi-Yuan, Tin-Yu Wu, Wei-Tsong Lee, Han-Chieh Chao, and Jen-Chun Chiang. "QoS-based active dropping mechanism for NGN video streaming optimization." Knowledge Engineering Review 29, no. 4 (2014): 484–95. http://dx.doi.org/10.1017/s0269888914000186.

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AbstractVideo streaming over mobile wireless networks is getting popular in recent years. High video quality relies on large bandwidth provisioning, however, it decreases the number of supported users in wireless networks. Thus, effective bandwidth utilization becomes a crucial issue in wireless network as the bandwidth resource in wireless environment is precious and limited. The NGN quality of service mechanisms should be designed to reduce the impact of traffic burstiness on buffer management. For this reason, we propose an active dropping mechanism to deal with the effective bandwidth util

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Kozdrowski, Stanisław, Mateusz Żotkiewicz, and Sławomir Sujecki. "Ultra-Wideband WDM Optical Network Optimization." Photonics 7, no. 1 (2020): 16. http://dx.doi.org/10.3390/photonics7010016.

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Ultra-wideband wavelength division multiplexed networks enable operators to use more effectively the bandwidth offered by a single fiber pair and thus make significant savings, both in operational and capital expenditures. The main objective of this study is to minimize optical node resources, such as transponders, multiplexers and wavelength selective switches, needed to provide and maintain high quality of network services, in ultra-wideband wavelength division multiplexed networks, at low cost. A model based on integer programming is proposed, which includes a detailed description of optica

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Zhiwen, Wang, and Sun Hongtao. "Control and Optimization of Network in Networked Control System." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/237372.

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In order to avoid quality of performance (QoP) degradation resulting from quality of service (QoS), the solution to network congestion from the point of control theory, which marks departure of our results from the existing methods, is proposed in this paper. The congestion and bandwidth are regarded as state and control variables, respectively; then, the linear time-invariant (LTI) model between congestion state and bandwidth of network is established. Consequently, linear quadratic method is used to eliminate the network congestion by allocating bandwidth dynamically. At last, numerical simu

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Pratama, Yukos, and Heri Suroyo. "OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)." Journal of Information Systems and Informatics 1, no. 1 (2019): 49–59. http://dx.doi.org/10.33557/isi.v1i1.4.

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Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quali

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Pratama, Yukos, and Heri Suroyo. "OPTIMIZATION OF WIRELESS NETWORK PERFORMANCE USING THE HIERARCHICAL TOKEN BUCKET (CASE STUDY: MUHAMMADIYAH UNIVERSITY OF PALEMBANG)." Journal of Information Systems and Informatics 1, no. 1 (2019): 49–59. http://dx.doi.org/10.33557/journal-isi.v1i1.4.

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Computer networks have penetrated into various fields including education for the learning process which is used as a medium for delivering scientific concepts to be more attractive and easily accepted. The Muhammadiyah University of Palembang currently has very high mobility, both used for browsing information, downloading data and using other facilities. For the need for bandwidth management to manage each passing data so that the distribution of bandwidth becomes evenly distributed by using the queue tree method that is applied to the proxy. To evaluate internet bandwidth analyze QoS (Quali

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Dissertations / Theses on the topic "Network Bandwidth Optimization"

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Li, Kang. "Modeling the bandwidth sharing behavior of congestion controlled flows /." Full text open access at:, 2002. http://content.ohsu.edu/u?/etd,632.

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Devlic, Alisa. "On Optimization of Quality of User Experience and Wireless Network Bandwidth in Video Content Delivery." Doctoral thesis, KTH, Mobile Service Laboratory (MS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177011.

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Mobile video content today generates more than half of the mobile data traffic.The increasing popularity of mobile video on demand services poses great challenges to mobile operators and content providers. Frontmost, how to reduce the mobile video traffic load, while delivering high quality video content to mobile users without perceived quality degradations for the same (or cheaper) price? Battery lifetime represents another key factor of a user’s Quality of Experience(QoE). A lot of device energy is consumed by mobile network signalling and data transmission over new generation mobile commun

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Liu, Zongyi. "Self-Adaptive Bandwidth Control for Balanced QoS and Energy Aware Optimization in Wireless Sensor Network." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0034/document.

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Dans le domaine des réseaux de capteurs multimédias sans fil (WMSN), le flux fortement saturé augmente la probabilité de collision et de congestion dans la transmission de données, ce qui dégrade considérablement la performance de la qualité de service (QoS). La technique de déploiement multicanaux est souvent appliquée à la transmission en parallèle pour garantir la QoS. Cependant, comment faire le compromis entre l'exigence QoS et l'efficacité énergétique est un défi pour WMSN énergie-limité. L'analyse théorique de la couche MAC et de la structure de la couche PHY basée sur la norme IEEE 802

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Ramadas, Manikantan. "STUDY OF A PROTOCOL AND A PRIORITY PARADIGM FOR DEEP SPACE DATA COMMUNICATION." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178789539.

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Rojanarowan, Jerapong. "MPLS-Based Best-Effort Traffic Engineering." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7496.

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MPLS-Based Best-Effort Traffic Engineering Jerapong Rojanarowan 120 Pages Directed by Dr. Henry L. Owen The objective of this research is to develop a multipath traffic engineering framework for best-effort traffic in Multiprotocol Label Switching (MPLS) networks so as to deliver more equal shares of bandwidth to best-effort users as compared to the traditional shortest-path algorithm. The proposed framework is static and the input to the traffic engineering algorithm is restricted to network topology. Performance evaluation of this framework is conducted by simulation using ns-2 network

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Wang, Chen. "Variants of Deterministic and Stochastic Nonlinear Optimization Problems." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112294/document.

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Les problèmes d’optimisation combinatoire sont généralement réputés NP-difficiles, donc il n’y a pas d’algorithmes efficaces pour les résoudre. Afin de trouver des solutions optimales locales ou réalisables, on utilise souvent des heuristiques ou des algorithmes approchés. Les dernières décennies ont vu naitre des méthodes approchées connues sous le nom de métaheuristiques, et qui permettent de trouver une solution approchées. Cette thèse propose de résoudre des problèmes d’optimisation déterministe et stochastique à l’aide de métaheuristiques. Nous avons particulièrement étudié la méthode de

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Ben, Ameur Chiheb. "TCP Protocol Optimization for HTTP Adaptive Streaming." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S127/document.

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Le streaming adaptatif sur HTTP, désigné par HAS, est une technique de streaming vidéo largement déployée sur Internet. Elle utilise TCP comme protocole de transport. Elle consiste à segmenter la vidéo stockée sur un serveur web en petits segments indépendants de même durée de lecture et transcodés à plusieurs niveaux de qualité, désignés par "chunks". Le player, du côté du client HAS, demande périodiquement un nouveau chunk. Il sélectionne le niveau de qualité en se basant sur l’estimation de la bande passante du/des chunk(s) précédent(s). Étant donné que chaque client HAS est situé au sein d

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Thalgott, Fabien. "BANDWIDTH SHAPING IN COMPUTER AND MOBILE NETWORKS." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13644.

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In our technological society, the growth of applications is not always followed by the growth of network capacity. There is an increasing demand of bandwidth which cannot always be answered properly. It is especially true in wireless networks such as 3G. Mobile devices can store and use more and more applications which are all using the bandwidth without any control. The Internet experience for the end user can thus be quickly degraded. In this respect, my objective in this thesis is to fill the gap on this matter by implementing a traffic shaping software working on Android devices. In order

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Magnússon, Sindri. "Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems." Doctoral thesis, KTH, Nätverk och systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205682.

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The emerging technology of Cyberphysical systems consists of networked computing, sensing, and actuator devices used to monitor, connect, and control physical phenomena. In order to economically and sustainably operate Cyberphysical systems, their devices need to cooperate over a communication network to solve optimization problems. For example, in smart power grids, smart meters cooperatively optimize the grid performance, and in wireless sensor networks a number of sensors cooperate to find optimal estimators of real-world parameters. A challenging aspect in the design of distributed solutio

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Ismaïl, Mohamed Amine. "Study and optimization of data protection, bandwidth usage and simulation tools for wireless networks." Nice, 2010. http://www.theses.fr/2010NICE4074.

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La conception de systèmes de communication sans fil supportant les services émergents suscite de plus en plus d'intérêt et ne cesse de poser des problèmes et des défis techniques à la communauté scientifique. Dans cette thèse, nous avons adressé trois de ces problèmes. La première contribution porte sur la fiabilisation des liaisons sans fil et en particulier sur la protection des données contre les évanouissements de longue durée dans le cadre d'un lien "satellite vers mobile". Nous avons proposé un algorithme innovant, appelé Codage Multi-rafale Glissant (CMRG), qui étend la protection “intr

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Book chapters on the topic "Network Bandwidth Optimization"

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Randhawa, Tejinder S., and Stephen Hardy. "Bandwidth Optimization in Broadband Networks." In Network Management in Wired and Wireless Networks. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3590-1_6.

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Nie, Zikai, Zhisheng Li, Lei Wang, Shasha Guo, and Qiang Dou. "Memory Bandwidth and Energy Efficiency Optimization of Deep Convolutional Neural Network Accelerators." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2423-9_2.

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Singh, Nikita, and Manu Vardhan. "Multi-objective Optimization of Block Size Based on CPU Power and Network Bandwidth for Blockchain Applications." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5546-6_6.

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Azizi, Mounir, Redouane Benaini, and Mouad Ben Mamoun. "Delay-Bandwidth Optimization Method Based on Ant Colony Algorithm Applied to Transport Network Using SDN Paradigm." In Mobile, Secure, and Programmable Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22885-9_3.

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Liu, Qian, Juan Gu, Jingchao Yang, et al. "Cloud, Edge, and Mobile Computing for Smart Cities." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_41.

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AbstractSmart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other aspects. This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area as an example. We discuss the benefits of leveraging cloud, mobile, and edge computing to address the challenges brought by the spatiotemporal dynamics of the urban heat island, including elevated emissions of air pollutants and greenhouse gases, compromised human health and comfort, and impaired water quality. Cloud computing brings scalability and on-demand computing capacity to urban system simulations for timely prediction. Mobile computing brings portability and social interactivity for citizens to report instantaneous information for better knowledge integration. Edge computing allows data produced by in-situ devices to be processed and analyzed at the edge of the network, reducing the data traffic to the central repository and processing engine (data center or cloud). Challenges and future directions are discussed for integrating the three computing technologies to achieve an overall better computing infrastructure supporting smart cities. The integration is discussed in aspects of bandwidth issue, network access optimization, service quality and convergence, and data integrity and security.

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Harks, Tobias. "Utility Proportional Fair Bandwidth Allocation: An Optimization Oriented Approach." In Quality of Service in Multiservice IP Networks. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30573-6_5.

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Cupek, Rafał, Kamil Folkert, and Mateusz Starzyk. "Bandwidth Optimization Method for Non-critical Data Transmission in Real-Time Communication Systems." In Computer Networks. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38865-1_20.

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Reinhard, Vincent, Joanna Tomasik, Dominique Barth, and Marc-Antoine Weisser. "Bandwidth Optimization for Multicast Transmissions in Virtual Circuit Networks." In NETWORKING 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01399-7_67.

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Kumar, Vijay. "Approximating circular arc colouring and bandwidth allocation in all-optical ring networks." In Approximation Algorithms for Combinatiorial Optimization. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0053971.

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Wu, Jun, Wuyi Yue, and Shouyang Wang. "Optimization of Bandwidth Allocation in Communication Networks with Penalty Cost." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428862_74.

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Conference papers on the topic "Network Bandwidth Optimization"

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Vyukusenge, A. "Bandwidth Optimization of Burundi Transport Network." In 2019 Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE, 2019. http://dx.doi.org/10.1109/sosg.2019.8706792.

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Bourgeois, J., E. Mory, and F. Spies. "Optimization of wireless bandwidth utilization." In Proceedings Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing. IEEE, 2003. http://dx.doi.org/10.1109/empdp.2003.1183635.

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Mei, LiRong, and Xiang Lv. "Optimization of Network Bandwidth Allocation in Xen." In 2015 IEEE 17th International Conference on High-Performance Computing and Communications; 2015 IEEE 7th International Symposium on Cyberspace Safety and Security; and 2015 IEEE 12th International Conference on Embedded Software and Systems. IEEE, 2015. http://dx.doi.org/10.1109/hpcc-css-icess.2015.35.

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Shakhov, Vladimir, Jahwan Koo, and Hyunseung Choo. "Bandwidth Optimization in Next Generation Wireless Network." In COIN-NGNCON 2006 - The Joint International Conference on Optical Internet and Next Generation Network. IEEE, 2006. http://dx.doi.org/10.1109/coinngncon.2006.4454593.

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Garcia, M. A., J. Keller, and J. Boughton. "ADS-B system network bandwidth and CPU optimization." In 2013 7th Annual IEEE Systems Conference (SysCon). IEEE, 2013. http://dx.doi.org/10.1109/syscon.2013.6549877.

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Yanan Bao, Huasen Wu, Albara Ah Ramli, Bradley Wang, and Xin Liu. "Viewing 360 degree videos: Motion prediction and bandwidth optimization." In 2016 IEEE 24th International Conference on Network Protocols (ICNP). IEEE, 2016. http://dx.doi.org/10.1109/icnp.2016.7784458.

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Owens, Matthew A., and Deep Medhi. "Temporal bandwidth-intensive virtual network allocation optimization in a data center network." In ICC 2013 - 2013 IEEE International Conference on Communications. IEEE, 2013. http://dx.doi.org/10.1109/icc.2013.6655091.

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Li, Yaofang, Bin Wu, Jie Xiao, CHunxia Dai, and Yaofang Li. "Optimization of Bandwidth Utilization in Data Center Network with SDN." In 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/amcce-17.2017.99.

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BANDIRI, S. Y. M., T. C. PIMENTA, and D. H. SPADOTI. "Optimization of Energy Consumption and Bandwidth used in Elastic Optical Network." In 2018 30th International Conference on Microelectronics (ICM). IEEE, 2018. http://dx.doi.org/10.1109/icm.2018.8704028.

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Mingsong, Sun, and Wang Yuefan. "Optimization in dynamic allocation of network bandwidth campus based on Xen." In 2014 9th International Forum on Strategic Technology (IFOST). IEEE, 2014. http://dx.doi.org/10.1109/ifost.2014.6991077.

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