Relevant bibliographies by topics / Optimizing the network

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Optimizing the network'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Optimizing the network"

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O. H. Abdelwahed, O. H. Abdelwahed, and M. El-Sayed Wahed. "Optimizing Single Layer Cellular Neural Network Simulator using Simulated Annealing Technique with Neural Networks." Indian Journal of Applied Research 3, no. 6 (2011): 91–94. http://dx.doi.org/10.15373/2249555x/june2013/31.

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Paluzo-Hidalgo, Eduardo, Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, and Jónathan Heras. "Optimizing the Simplicial-Map Neural Network Architecture." Journal of Imaging 7, no. 9 (2021): 173. http://dx.doi.org/10.3390/jimaging7090173.

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Simplicial-map neural networks are a recent neural network architecture induced by simplicial maps defined between simplicial complexes. It has been proved that simplicial-map neural networks are universal approximators and that they can be refined to be robust to adversarial attacks. In this paper, the refinement toward robustness is optimized by reducing the number of simplices (i.e., nodes) needed. We have shown experimentally that such a refined neural network is equivalent to the original network as a classification tool but requires much less storage.
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Mackin, Erika, and Stacy Patterson. "Optimizing the Coherence of a Network of Networks." IEEE Transactions on Control of Network Systems 7, no. 3 (2020): 1465–75. http://dx.doi.org/10.1109/tcns.2020.2979884.

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Yan, Houyi, Lvlin Hou, Yunxiang Ling, and Guohua Wu. "Optimizing complex networks controllability by local structure information." International Journal of Modern Physics C 27, no. 10 (2016): 1650115. http://dx.doi.org/10.1142/s0129183116501151.

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Research in network controllability has mostly been focused on the effects of the network structure on its controllability, and some methods have been proposed to optimize the network controllability. However, they are all based on global structure information of networks. We propose two different types of methods to optimize controllability of a directed network by local structure information. Extensive numerical simulation on many modeled networks demonstrates that this method is effective. Since the whole topologies of many real networks are not visible and we only get some local structure
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Monk, Jonathan, Juan Nogales, and Bernhard O. Palsson. "Optimizing genome-scale network reconstructions." Nature Biotechnology 32, no. 5 (2014): 447–52. http://dx.doi.org/10.1038/nbt.2870.

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Zhang, Xiaoxia, Zhongming Zheng, Qinghua Shen, Jing Liu, Xuemin Sherman Shen, and Liang-Liang Xie. "Optimizing Network Sustainability and Efficiency in Green Cellular Networks." IEEE Transactions on Wireless Communications 13, no. 2 (2014): 1129–39. http://dx.doi.org/10.1109/twc.2013.122713.131133.

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Kobayashi, Kunizaku, Toyoshi Torioka, and Nobuo Yoshida. "A wavelet neural network with network optimizing function." Systems and Computers in Japan 26, no. 9 (1995): 61–71. http://dx.doi.org/10.1002/scj.4690260906.

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Farshad, Nasimi Khameneh, and Syuhaimi Ab Rahman Mohammad. "Optimizing In-Vehicle Multiplexed Network Using WDM over POF." Applied Mechanics and Materials 663 (October 2014): 675–81. http://dx.doi.org/10.4028/www.scientific.net/amm.663.675.

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The past decade was huge challenge for vehicle industries to upgrade their on-board networks using several software technologies (multiplexed networks) but the hardware still is untouched. Now in-vehicle network is a complex of tens electronic controllers and hundreds sensors and actuators. Even telecommunication and multimedia became inevitable vehicle’s features with increasing day to day demands. Today copper wires are the constant option as transmission medium in current vehicles networks and they cannot provide proper bandwidth for such high speed applications. Although the MOST (Media Or
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Virmani, Dr Deepali. "Maximizing Network Lifetime Operator for Wireless Sensor Networks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (2013): 267–72. http://dx.doi.org/10.24297/ijct.v4i2a2.3172.

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Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network lifetime, available energy and connectivity. In this paper we categorize sensor nodes as strong and weak nodes based on their residual energy as well as operational lifetime and propose a Maximizing Network lifetime Operator (MLTO) that defines cluster
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Et. al., Alyaa Abdulmunem M. Al-Najjar,. "Optimizing MANETs Network Lifetime Using a Proactive Clustering Algorithm." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 3280–92. http://dx.doi.org/10.17762/turcomat.v12i2.2387.

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In wireless sensor networks that consist of a number of power constrained sensor nodes, the foremost challenges are the limited energy and system lifetime. Therefore, designing efficient routing protocols, which prolong the network lifetime, is one of the most critical issues. This paper evaluated several clustering algorithms, namely: Highest Degree Clustering Algorithm (HDCA), and Lowest Identifier Clustering Algorithm (LIDCA) under three metrics: throughput, Packets Delivered Ratio Factor (PDR) and network lifetime. One of the most important challenges facing Mobile Ad hoc Networks is savin
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Dissertations / Theses on the topic "Optimizing the network"

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Johnson, Jennifer Nichole. "Optimizing network lifetime in sensor networks with limited recharging capabilities." Scholarly Commons, 2014. https://scholarlycommons.pacific.edu/uop_etds/227.

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Monitoring the structural health of civil infrastructures with wireless sensor networks aids in detecting failures early, but faces power challenges in ensuring reasonable network lifetimes. Recharging select nodes with Unmanned Aerial Vehicles (UAVs) provides a solution that currently can recharge a single node; however, questions arise on the effectiveness of a limited recharging system, the appropriate node to recharge, and the best sink selection algorithm for improving network lifetime given a limited recharging system. This paper simulates such a network in order to answer those question
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Kwa, Jimmy Williamchingyuan. "Optimizing network-on-chips for FPGAs." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44343.

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As larger System-on-Chip (SoC) designs are attempted on Field Programmable Gate Arrays (FPGAs), the need for a low cost and high performance Network-on-Chip (NoC) grows. Virtual Channel (VC) routers provide desirable traits for an NoC such as higher throughput and deadlock prevention but at significant resource cost when implemented on an FPGA. This thesis presents an FPGA specific optimization to reduce resource utilization. We propose sharing Block RAMs between multiple router ports to store the high logic resource consuming VC buffers and present the Block RAM Split (BRS) router architectur
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Cox, Criston W. "Optimizing bandwidth of tactical communications systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FCox.pdf.

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Thesis (M.S. in Systems Technology (Joint Command, Control, Communications, Computers and Intelligence (JC4I))--Naval Postgraduate School, June 2005.<br>Thesis Advisor(s): William Kemple, John Osmundson. Includes bibliographical references (p. 59-60). Also available online.
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Naumoff, Cullen. "Optimizing waste flows in the OSU network." Connect to resource, 2007. http://hdl.handle.net/1811/25094.

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Thesis (Honors)--Ohio State University, 2007.<br>Title from first page of PDF file. Document formatted into pages: contains ii, 42 p.; also includes graphics. Includes bibliographical references (p. 29-30). Available online via Ohio State University's Knowledge Bank.
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Abdnoor, Al-zurfi Huda Kadhem. "Optimizing frequency domain contention in wireless network." Thesis, The University of North Carolina at Greensboro, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1558125.

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<p> Wireless communication became popular in the last decades, giving the mobility to the users. However with increased number of users and contention, network efficiency can hardly keep up with user needs. This thesis focuses on a new frequency domain contention technique called FICA. In FICA, the channel is assumed to be using Orthogonal Frequency Division Multiplex (OFDM) with multiple sub-carriers. We investigated the use of multiple channels and multiple access points (APs) in the design. First we investigated having one channel that is divided into number of sub-carriers, it shows good r
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Zhan, Pengcheng. "Optimizing wireless network throughput : methods and applications /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2189.pdf.

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Zhan, Pengchang. "Optimizing Wireless Network Throughput: Methods and Applications." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1279.

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Ever since Marconi succeeded in his first demonstration on the possibility to communicate over the air overseas about a century ago, wireless communications have experienced dramatic improvements. Today's world sees the penetration of wireless communications into human life almost everywhere, from a simple remote control for TV to a cellular phone. With a better understanding of the adverse nature of the wireless propagation channels, engineers have been able to invent various clever techniques, i.e. Multiple Input Multiple Output (MIMO) technology, spread spectrum communications, Orthogonal F
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Alwis, Chamitha de. "Optimizing network coding algorithms for multicast applications." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616484.

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Deviating from the archaic communication approach of treating information as a fluid moving through pipes, the concepts of Network Coding (NC) suggest that optimal throughput of a multi cast network can be achieved by processing information at individual network nodes. However, existing challenges to harness the advantages ofNC concepts for practical applications have prevented the development of NC into an effective solution to increase the performance of practical communication networks. In response, the research work presented in this thesis proposes cross-layer NC solutions to increase the
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Zhang, Li. "Optimizing Traffic Network Signals Around Railroad Crossings." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27750.

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The dissertation proposed an approach, named â Signal Optimization Under Rail Crossing sAfety cOnstraintsâ (SOURCAO), to the traffic signal control near a highway rail grade crossing (HRGC). SOURCAO targets two objectives: HRGC safety improvement (a high priority national transportation goal) and highway traffic delay reduction (a common desire for virtually all of us). Communication and data availability from ITS and the next generation train control are assumed available in SOURCAO. The first step in SOURCAO is to intelligently choose a proper preemption phase sequence to promote HRGC saf
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Zhang, Yao. "Optimizing and Understanding Network Structure for Diffusion." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/79674.

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Given a population contact network and electronic medical records of patients, how to distribute vaccines to individuals to effectively control a flu epidemic? Similarly, given the Twitter following network and tweets, how to choose the best communities/groups to stop rumors from spreading? How to find the best accounts that bridge celebrities and ordinary users? These questions are related to diffusion (aka propagation) phenomena. Diffusion can be treated as a behavior of spreading contagions (like viruses, ideas, memes, etc.) on some underlying network. It is omnipresent in areas such as soc
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Books on the topic "Optimizing the network"

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Inc, Cisco Systems, ed. Optimizing applications on Cisco networks. Cisco Press, 2005.

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Optimizing bandwidth. McGraw-Hill, 1998.

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TCP/IP addressing: Designing and optimizing your IP addressing scheme. 2nd ed. Morgan Kaufmann, 2001.

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Graham, Buck. TCP/IP addressing: Designing and optimizing your IP addressing scheme. AP Professional, 1997.

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Optimizing NFS performance: Tuning and troubleshooting NFS on HP-UX systems. Prentice Hall PTR, 2003.

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SantÁngelo, Rick. Optimizing NetWare networks. M&T Books, 1993.

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Sant'Angelo, Rick. Optimizing NetWare networks. M&T Books, 1993.

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Chaffey, Dave. eMarketing eXcellence: Planning and optimizing your digital marketing. 3rd ed. Butterworth-Heinemann, 2008.

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Kotfila, David A. CCNP optimizing converged networks (ONT 642-845) lab portfolio. Cisco Press, 2008.

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Kotfila, David A. CCNP optimizing converged networks (ONT 642-845) lab portfolio. Cisco Press, 2008.

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Book chapters on the topic "Optimizing the network"

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Brittain, David, and Jon Sims Williams. "Optimizing the Access Network." In Telecommunications Optimization: Heuristic and Adaptive Techniques. John Wiley & Sons, Ltd, 2001. http://dx.doi.org/10.1002/047084163x.ch7.

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Kress, Moshe. "Optimizing the Logistics Network." In Operational Logistics. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1085-7_10.

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Beres, Yolanta, and Jonathan Griffin. "Optimizing Network Patching Policy Decisions." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30436-1_35.

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Horzyk, Adrian. "Self-Optimizing Neural Network 3." In Constructive Neural Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04512-7_5.

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He, Peng, Ge Chen, Kai Deng, Ping Yao, and Li Fu. "Improve Image Classification by Convolutional Network on Cambricon." In Benchmarking, Measuring, and Optimizing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49556-5_7.

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Bo, Jin. "Optimizing the Network Topology in Gnutella P2P Networks." In Advances in Computer Science and Education. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27945-4_75.

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Gutfraind, Alexander. "Optimizing Network Topology for Cascade Resilience." In Handbook of Optimization in Complex Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0857-4_2.

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Coutinho, Nuno, Susana Sargento, and Vitor Jesus. "Optimizing Network Performance in Multihoming Environments." In Traffic Management and Traffic Engineering for the Future Internet. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04576-9_11.

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Silva, Yuri C. B., Tarcisio F. Maciel, and Francisco R. P. Cavalcanti. "Radio Resource Management Performance for the GSM/EDGE Radio Acess Network." In Optimizing Wireless Communication Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_2.

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Kadi, Nour, and Khaldoun Al Agha. "Switched Code forAd HocNetworks: Optimizing the Diffusion by Using Network Coding." In Network Coding. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118562819.ch3.

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Conference papers on the topic "Optimizing the network"

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Eiland, E. E., and L. M. Liebrock. "Optimizing Network Data Transmission." In Third International Conference on Information Technology: New Generations (ITNG'06). IEEE, 2006. http://dx.doi.org/10.1109/itng.2006.104.

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Mongeau, David, and Govinda Rajan. "Optimizing Costs of Migration to NGNs." In 2008 13th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2008. http://dx.doi.org/10.1109/netwks.2008.4763688.

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Jaumard, Brigitte, and D. T. Kien. "Optimizing ROADM configuration in WDM networks." In 2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks). IEEE, 2014. http://dx.doi.org/10.1109/netwks.2014.6959206.

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DeGroot, Donald C., and Roger B. Marks. "Optimizing Time-Domain Network Analysis." In 46th ARFTG Conference Digest. IEEE, 1995. http://dx.doi.org/10.1109/arftg.1995.327128.

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Mung Chiang. "Optimizing wireless network resource allocation." In 2011 12th Canadian Workshop on Information Theory (CWIT). IEEE, 2011. http://dx.doi.org/10.1109/cwit.2011.5872105.

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Kassem, Ayman H., and Ihab G. Adam. "Optimizing Neural Networks for Leak Monitoring in Pipelines." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-3005.

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Feedforward neural networks can be used for nonlinear dynamic modeling. Although the basic principle of employing such networks is straightforward, the problem of selecting the training data set and the network topology is not a trivial task. This paper examines the use of genetic algorithm optimization techniques to optimize the neural network. The paper presents the results of studies on the effect of number of neurons and input combination method on the performance of neural networks and the application of this study to improve leak monitoring in pipelines. The neural networks examined in t
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Capela, Nelson, and Susana Sargento. "Optimizing network performance with multihoming and network coding." In 2012 IEEE Globecom Workshops (GC Wkshps). IEEE, 2012. http://dx.doi.org/10.1109/glocomw.2012.6477571.

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Thakur, Mohit, and Muriel Medard. "On Optimizing Low SNR Wireless Networks Using Network Coding." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684284.

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Dottling, Martin, and Ingo Viering. "Challenges in mobile network operation: Towards self-optimizing networks." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960407.

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Shin, Heehoon, and Joon-Sang Park. "On optimizing random network coding implementation." In 2015 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2015. http://dx.doi.org/10.1109/ictc.2015.7354816.

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Reports on the topic "Optimizing the network"

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Piergrossi, Todd M. Optimizing Computer Network Defense Training. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada388382.

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Markopoulou, Athina, Lee Swindlehurst, and Anima Anandkumar. NetSense: Optimizing Network Configuration for Sensing. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594658.

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Ji, Zhengrong, Junlan Zhou, Mineo Takai, Jay Martin, and Rajive Bagrodia. Optimizing Parallel Execution of Detailed Wireless Network Simulation. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada467039.

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Lydick, Christopher L. Optimizing the ASC WAN: evaluating network performance tools for comparing transport protocols. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/912922.

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Pandana, Charles, Zhu Han, and K. J. Liu. Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada481590.

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Feng, Wu-chun. Optimizing 10-Gigabit Ethernet for Networks of Workstations, Clusters, and Grids: A Case Study. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/826464.

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Krishnan, R., L. Yong, A. Ghanwani, N. So, and B. Khasnabish. Mechanisms for Optimizing Link Aggregation Group (LAG) and Equal-Cost Multipath (ECMP) Component Link Utilization in Networks. RFC Editor, 2015. http://dx.doi.org/10.17487/rfc7424.

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