Relevant bibliographies by topics / Internet Servers

Academic literature on the topic 'Internet Servers'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Internet Servers"

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Kant, Krishna, and Prasant Mohapatra. "Scalable internet servers." ACM SIGMETRICS Performance Evaluation Review 28, no. 2 (September 2000): 5–8. http://dx.doi.org/10.1145/362883.362891.

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Mishra, Swati, and Sanjaya Kumar Panda. "An Efficient Server Minimization Algorithm for Internet Distributed Systems." International Journal of Rough Sets and Data Analysis 4, no. 4 (October 2017): 17–30. http://dx.doi.org/10.4018/ijrsda.2017100102.

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The increasing use of online services leads to an unequal distribution of the loads among the servers. As a result, the problem is to balance the loads among the servers such that the total number of active servers is minimized. One of the possible solutions is to transfer the loads from the underutilized server to a suitable server and make the underutilized server to sleep mode. In this paper, a server minimization algorithm (SMA) is proposed for the solution of server minimization and the load balancing problem. The proposed algorithm reduces the number of servers by merging the loads of the two least loaded servers. Then it determines the standard deviation of the server loads for load balancing. The proposed SMA is compared with an existing load balancing algorithm using the number of minimized servers, load standard deviation and load factor. The simulation results show the efficacy of the SMA.
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Ju, Hong Yao, and Xin Wang. "Research on the Model of the Internet of Things Servers Group Automatic Expandability Management and Control." Advanced Materials Research 482-484 (February 2012): 2070–75. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.2070.

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The internet of things automatic expandability management and control technology are a key technology,which include adjusting member server numbers immediately according to load of servers group,optimizing internet of things servers system performance,making the system response time become fast,and making servers system energy consumption decrease.With the integrated technology research of detecting servers load,expandability management and control,load balance and so on ,the problem ,which is the internet of things servers group numbers are increased or decreased automatically when the internet of things servers load is too heavy or too light,is solved, servers group intelligent expandability and servers group intelligent load balance are realized.With system test,servers system performances and response times are improved obviously.
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Ma, Rong. "Edge Server Placement for Service Offloading in Internet of Things." Security and Communication Networks 2021 (September 30, 2021): 1–16. http://dx.doi.org/10.1155/2021/5109163.

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With the rapid development of the Internet of Things, a large number of smart devices are being connected to the Internet while the data generated by these devices have put unprecedented pressure on existing network bandwidth and service operations. Edge computing, as a new paradigm, places servers at the edge of the network, effectively relieving bandwidth pressure and reducing delay caused by long-distance transmission. However, considering the high cost of deploying edge servers, as well as the waste of resources caused by the placement of idle servers or the degradation of service quality caused by resource conflicts, the placement strategy of edge servers has become a research hot spot. To solve this problem, an edge server placement method orienting service offloading in IoT called EPMOSO is proposed. In this method, Genetic Algorithm and Particle Swarm Optimization are combined to obtain a set of edge server placements strategies, and Simple Additive Weighting Method is utilized to determine the most balanced edge server placement, which is measured by minimum delay and energy consumption while achieving the load balance of edge servers. Multiple experiments are carried out, and results show that EPMOSO fulfills the multiobjective optimization with an acceptable convergence speed.
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Praveen Misra and Rajeev Yadav. "An experimental study for the performance assessment of the DNS server architecture on IPv6 network." World Journal of Advanced Research and Reviews 17, no. 1 (January 30, 2023): 699–710. http://dx.doi.org/10.30574/wjarr.2023.17.1.0011.

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In this paper, an experimental investigation is conducted to study the performance of the educational research domain name system (ER-DNS) hierarchical server network which works on internet protocol version 6 (IPv6) only, instead of the publicly available dual stack DNS root servers on the internet. There is a high probability of making the entire internet system unstable if any changes are made. Thus, we have created the experimental testbed, which functions similar to the existing live internet systems. It thus gives more flexibility to experiment and make technical and operational changes, without risking the stability and reliability of the internet system. In this paper, we have setup the entire DNS hierarchy starting from the root to the recursive servers with the top level domain (TLD) and domain authoritative name servers has been setup. This setup enables the queries to flow from the end user recursive servers to the domain authoritative server via the root as well as the TLD servers and provide the result to the end user. Query response in each of these servers were recorded to derive the response time, failure and successes to help in assessing the efficiency, behavior, functionality, stability and reliability of the ER-DNS architecture in IPv6 networks.
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Condliffe, Jamie. "Smart servers thwart internet attackers." New Scientist 209, no. 2797 (January 2011): 20. http://dx.doi.org/10.1016/s0262-4079(11)60200-5.

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Akmalia, Gina, Elvyna Tunggawan, Kevin Sungiardi, and Alfian Lazuardi. "Distributed Proxy Server dengan Squid pada Sistem Operasi Windows 7." Jurnal ULTIMA InfoSys 4, no. 2 (December 1, 2013): 74–78. http://dx.doi.org/10.31937/si.v4i2.242.

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Proxy server is the intermediary between client and the Internet. The usage of proxy server is one of many means to avoid excessive access to the Internet. Proxy server’s cache will save every web page which has been accessed, so clients can save their bandwidth when they access same web pages repeatedly. Distributed proxy is a collection of connected proxy servers which has shared cache. This research will prove that distributed proxy server can shorten data access time and minimize bandwidth. On this research, we use Squid Proxy Server on Windows 7 as the main tool. Index Terms - distributed proxy, shared cache, Squid
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Jul, Eric, Povl Koch, Jørgen S. Hansen, Michael Svendsen, Kim Henriksen, Kenn Nielsen, and Mads Dydensborg. "High-performance cluster-based Internet servers." ACM SIGOPS Operating Systems Review 34, no. 2 (April 2000): 38. http://dx.doi.org/10.1145/346152.346264.

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Kant, K., and Prasant Mohapatra. "Current research trends in internet servers." ACM SIGMETRICS Performance Evaluation Review 29, no. 2 (September 2001): 5–7. http://dx.doi.org/10.1145/572317.572318.

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Collinson, Helen. "IBM unveils web servers, internet firewall." Computers & Security 14, no. 7 (January 1995): 616. http://dx.doi.org/10.1016/0167-4048(96)81704-4.

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Dissertations / Theses on the topic "Internet Servers"

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Voigt, Thiemo. "Architectures for Service Differentiation in Overloaded Internet Servers." Doctoral thesis, Uppsala Univ, 2002. http://publications.uu.se/theses/91-506-1559-9/.

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Pham, Nam Wilamowski Bogdan M. "Data extraction from servers by the Internet Robot." Auburn, Ala, 2009. http://hdl.handle.net/10415/1781.

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Shukla, Amol. "TCP Connection Management Mechanisms for Improving Internet Server Performance." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1030.

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This thesis investigates TCP connection management mechanisms in order to understand the behaviour and improve the performance of Internet servers during overload conditions such as flash crowds. We study several alternatives for implementing TCP connection establishment, reviewing approaches taken by existing TCP stacks as well as proposing new mechanisms to improve server throughput and reduce client response times under overload. We implement some of these connection establishment mechanisms in the Linux TCP stack and evaluate their performance in a variety of environments. We also evaluate the cost of supporting half-closed connections at the server and assess the impact of an abortive release of connections by clients on the throughput of an overloaded server. Our evaluation demonstrates that connection establishment mechanisms that eliminate the TCP-level retransmission of connection attempts by clients increase server throughput by up to 40% and reduce client response times by two orders of magnitude. Connection termination mechanisms that preclude support for half-closed connections additionally improve server throughput by up to 18%.
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WANG, JUN. "HIGH PERFORMANCE I/O ARCHITECTURES AND FILE SYSTEMS FOR INTERNET SERVERS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1028116005.

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Nand, Alka. "Design and implemetation of internet mail servers with embedded data compression." CSUSB ScholarWorks, 1997. https://scholarworks.lib.csusb.edu/etd-project/1482.

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Chang, He. "Server selection for heterogeneous cloud video services." HKBU Institutional Repository, 2017. http://repository.hkbu.edu.hk/etd_oa/419.

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Server selection is an important problem of cloud computing in which cloud service providers direct user demands to servers in one of the multiple data centers located in different geographical locations. The existing solutions usually assume homogeneity of cloud services (i.e., all users request the same type of service) and handle user demands in an individual basis which incurs high computational overhead. In this study, we propose a new and effective server selection scheme in which diversities of cloud services are taken into account. We focus on a specific cloud service, i.e., online video service, and assume that different videos have different bandwidth requirements. We group users into clusters and handle user demands on a cluster basis for faster and more efficient process. Firstly, we assume that user demands and bandwidth capacities of servers are given in the data centers, our problem is to assign the user demands to the servers under the bandwidth constraint, such that the overall latency (measured by the network distance) between the user clusters and the selected servers is minimized. We design a server selection system and formulate this problem as a linear programming formulation which can be solved by existing techniques. The system periodically executes our scheme and computes an optimal solution for server selection. User demands are assigned to the servers according to the optimal solution and the minimum overall latency can be achieved. The simulation results show that our scheme is significantly better than the random algorithm and the YouTube server selection strategy. Based on the first part, we take the storage capacities of servers constraint into consideration. In the second part, our new problem is to assign the user demands to the servers under the bandwidth and storage constraint, such that the function of overall latency (measured by the network distance) between the user clusters and the selected servers and standard deviation of traffic load of every server in the system is minimized. We design a server selection system and formulate this problem which can be solved by existing techniques. User demands are assigned to the servers according to the optimal solution and the two goals (minimum overall latency and the most balanced traffic load) can be achieved. The simulation results show the influence of different weights of these two goals on the user demands assigning.
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Zhanwen, Li. "Fair Service for High-Concurrent Requests." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1908.

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This thesis presents a new approach to ensuring fair service for highly concurrent requests. Our design uses the advantages of staged event-driven architecture (SEDA) to support high-concurrent loadings and makes use of control theory to manage the system performance. In order to guarantee the quality of service is fairly made to each request, based on SEDA, the control system for fairness is developed as a combination of a global control framework and a set of local self-tune stags. The global control framework is used to control the performance of the whole staged network at the top-level, aimed at coordinating the performance of the stages in the network. On the other hand, each self-tune stage under the control framework is built on the thread pool model, and will use automatic control theory to adjust its performance locally in order to meet the overall target performance. The automatic control system in each stage consists of an automatic modeling mechanism and a feedback module, which optimizes the controller parameters in the system automatically and guarantees the quality of performance (service rate here) for the stage at runtime. Based on mathematical proof and simulation results, our designs are implemented in a SEDA-based web server running in a dynamic loading environment. Results demonstrate that the performance of the new system in the real world is almost the same as the theoretical results. It demonstrates that the design is able to adaptively ensure the quality of service to the high-concurrent requests fairly. Compared to the original SEDA design, our design is an effective and handy approach to significantly enhancing the performance of SEDA in a variety of aspects, including fairer service, faster convergent speed, better robustness, higher accuracy and ease of deployment in various practical applications.
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Kappagantula, Sri Kasyap. "Virtualization of Data Centers : Case Study on Server Virtualizationn." Thesis, Blekinge Tekniska Högskola, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16010.

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Nowadays, Data Centers use Virtualization, as a technique to make use of the opportunity for extension of independent virtual resources from the available physical hardware. Virtualization technique is implemented in the Data Centers to maximize the utilization of physical hardware (which significantly reduces the energy consumption and operating costs) without affecting the “Quality of Service (QoS)”. The main objective of this thesis is to study, the different network topologies used in the Data Center architecture, and to compare the QoS parameters of the virtual server over the physical server and also to abstract the better technology exists for virtualization. The research methodology used in this thesis is “qualitative”. To measure the QoS, we take the Latency, Packet loss, Throughput aspects of virtual servers under different virtualization technologies (KVM, ESXi, Hyper-V, Fusion, and Virtualbox) and compare their performance over the physical server. The work also investigates the CPU, RAM Utilizations and compare the physical and virtual server's behavior under different load conditions. The Results shows us that the virtual servers have performed better in terms of resource utilization, Latency and response times when compared to the physical servers. But there are some factors like backup and recovery, VM Sprawl, capacity planning, building a private cloud, which should be addressed for the growth of virtual data centers. Parameters that affect the performance of the virtual servers are addressed and the trade-off between the virtual and physical servers is established in terms of QoS aspects. The overall performance of virtual servers is effective when compared to the performance of physical servers.
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Loyauté, Gautier. "Un modèle génératif pour le développement de serveurs Internet." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470539.

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Les serveurs Internet sont des logiciels particuliers. Ils doivent répondre aux demandes d'un grand nombre de clients distants, supporter leur évolution et être robustes car ils ne s'arrêtent jamais. Les modèles de concurrence permettent d'entrelacer les traitements d'un grand nombre de clients. Aucun consensus ne se dégage sur un meilleur modèle. Pour s'abstraire du modèle de concurrence, je propose un modèle de développement de serveurs Internet. Les outils de vérification formelle permettent d'accroître la sûreté des logiciels mais il est nécessaire de leur fournir un modèle simple du logiciel. Le modèle de développement que je propose est utilisé pour générer le serveur et son modèle formel. Le décodage d'une requête cliente dépend du modèle de concurrence. Je propose d'utiliser un générateur d'analyseur syntaxique qui s'abstrait de ce problème et automatise le développement du décodage
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Brown, Johan, Brokås Alexander Gustafsson, Niklas Hurtig, and Tobias Johansson. "Designing and implementing a small scale Internet Service Provider." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7437.

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The objective of this thesis is to design and implement a small scaleInternet Service Provider (ISP) for the NetCenter sub department atMälardalen University. The ISP is intended to give NetCenter a networkseparate from the University’s network, providing them with a moreflexible environment for lab purposes. This will give their students anopportunity to experience a larger backbone with Internet accessibility,which has not been previously available. At the same time it will place theteachers in control of the network in the NetCenter lab premises.The network is designed with a layered approach including an Internetaccess layer, a larger core segment and a distribution layer with aseparated lab network. It also incorporates both a public and a privateserver network, housing servers running e.g. Windows Active Directory,external DNS services, monitoring tools and logging applications. TheInternet access is achieved by peering with SUNET providing a full BGPfeed.This thesis report presents methods, implementations and results involvedin successfully creating the NetCenter ISP as both a lab network and anInternet provider with a few inevitable shortcomings; the most prominentbeing an incomplete Windows Domain setup.

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Books on the topic "Internet Servers"

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Christian, Gross. Professional NT Internet Information Server 2 administration. Olton, Birmingham [England]: Wrox Press, 1996.

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Rowe, Jeff. Webmaster's building Internet database servers with CGI. Indianapolis, Ind: New Riders Pub, 1996.

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Stanek, William R. Internet information services (IIS) 7.0: Administrator's pocket consultant. Redmond, Wash: Microsoft Press, 2008.

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Stanek, William R. Internet information services (IIS) 7.0: Administrator's pocket consultant. Redmond, Wash: Microsoft Press, 2008.

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Administering Internet Information Server 4. New York: McGraw-Hill, 1998.

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Tulloch, Mitch. Administering Internet Information Server 4. New York: McGraw-Hill, 2001.

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Lisa, Stanley, ed. Internet Information Services administration. Indianapolis, Ind: New Riders, 2000.

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Internet information server 3: Administrator's guide. Rocklin, Calif: Prima Pub., 1997.

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Using Microsoft Internet information server 4. Indianapolis, IN: Que, 1997.

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Dyson, Peter John. Mastering Microsoft Internet information server 4. 2nd ed. San Franciso: Sybex, 1998.

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Book chapters on the topic "Internet Servers"

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Fox, Richard, and Wei Hao. "Introduction to Web Servers." In Internet Infrastructure, 261–306. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315175577-7.

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Neumann, Robert. "Semantic Product Servers." In The Internet of Products, 177–99. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00905-2_6.

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Comer, Douglas E. "Clients, Servers, and Internet Services." In The Internet Book, 163–70. Fifth edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9780429447358-15.

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Abujoda, Ahmed, and Panagiotis Papadimitriou. "Profiling Packet Processing Workloads on Commodity Servers." In Wired/Wireless Internet Communication, 216–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38401-1_17.

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Jung, Sungin, Hagyoung Kim, and Cheolhoon Lee. "Guaranteeing the Continuous Stream Service in Cluster Media Servers." In Advanced Internet Services and Applications, 183–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45639-2_18.

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Misra, C., and P. K. Swain. "Performance Analysis of Finite Buffer Queueing System with Multiple Heterogeneous Servers." In Distributed Computing and Internet Technology, 180–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11659-9_19.

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Wu, Huaigu, Bettina Kemme, and Vance Maverick. "Eager Replication for Stateful J2EE Servers." In On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE, 1376–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30469-2_35.

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Lentini, Salvatore, Enrico Grosso, and Giovanni L. Masala. "A Comparison of Data Fragmentation Techniques in Cloud Servers." In Advances in Internet, Data & Web Technologies, 560–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75928-9_50.

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Khan, Md Anit, Andrew P. Paplinski, Abdul Malik Khan, Manzur Murshed, and Rajkumar Buyya. "Multi-objective Dynamic Virtual Machine Consolidation Algorithm for Cloud Data Centers with Highly Energy Proportional Servers and Heterogeneous Workload." In Internet of Things, 69–106. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05528-7_3.

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Charles, Lucas, Pascal Felber, and Christophe Gête. "TMBean: Optimistic Concurrency in Application Servers Using Transactional Memory." In On the Move to Meaningful Internet Systems: OTM 2009, 484–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05148-7_37.

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Conference papers on the topic "Internet Servers"

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Czajkowski, Grzegorz, Chi-Chao Chang, Chris Hawblitzel, Deyu Hu, and Thorsten von Eicken. "Resource management for extensible Internet servers." In the 8th ACM SIGOPS European workshop. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/319195.319201.

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Guyton, James D., and Michael F. Schwartz. "Locating nearby copies of replicated Internet servers." In the conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/217382.217463.

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Matsuba, Hiroya, and Yutaka Ishikawa. "Single IP Address Cluster for Internet Servers." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370255.

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Khan, Akmal, Taekyoung Kwon, Hyun-chul Kim, and Yanghee Choi. "AS-level topology collection through looking glass servers." In IMC'13: Internet Measurement Conference. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2504730.2504758.

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Nakamura, Ryota, and Hiroyoshi Miwa. "Method of Locating Mirror Servers to Alleviate Load on Servers and Links." In 2011 IEEE/IPSJ 11th International Symposium on Applications and the Internet (SAINT). IEEE, 2011. http://dx.doi.org/10.1109/saint.2011.95.

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Ensafi, Roya, David Fifield, Philipp Winter, Nick Feamster, Nicholas Weaver, and Vern Paxson. "Examining How the Great Firewall Discovers Hidden Circumvention Servers." In IMC '15: Internet Measurement Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2815675.2815690.

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Stahlschmidt, Thiago, Walter Godoy, and Augusto Foronda. "A Resource Management Framework Based on the Many Sources Asymptotic for Video-on-Demand Servers." In Second International Conference on Evolving Internet (INTERNET 2010). First International Conferences on Access Networks, Services and Technologies (ACCESS 2010). IEEE, 2010. http://dx.doi.org/10.1109/internet.2010.24.

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Myers, A., P. Dinda, and Hui Zhang. "Performance characteristics of mirror servers on the Internet." In IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320). IEEE, 1999. http://dx.doi.org/10.1109/infcom.1999.749296.

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Chen, Songqing, Bo Shen, Wai-tian Tan, Susie Wee, and Xiaodong Zhang. "A Case for Internet Streaming via Web Servers." In 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262660.

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Kobayashi, Y., E. Y. Chen, Y. Oyama, and A. Yonezawa. "Protecting Web servers from octopus attacks." In International Symposium on Applications and the Internet (SAINT'06). IEEE, 2006. http://dx.doi.org/10.1109/saint.2006.52.

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Reports on the topic "Internet Servers"

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Durand, A., I. Gashinsky, D. Lee, and S. Sheppard. Logging Recommendations for Internet-Facing Servers. RFC Editor, June 2011. http://dx.doi.org/10.17487/rfc6302.

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Guyton, James D., and Michael F. Schwartz. Locating Nearby Copies of Replicated Internet Servers. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada451456.

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Yang, C. INETPhone: Telephone Services and Servers on Internet. RFC Editor, April 1995. http://dx.doi.org/10.17487/rfc1789.

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Bakke, M., J. Hufferd, K. Voruganti, M. Krueger, and T. Sperry. Finding Internet Small Computer Systems Interface (iSCSI) Targets and Name Servers by Using Service Location Protocol version 2 (SLPv2). RFC Editor, April 2005. http://dx.doi.org/10.17487/rfc4018.

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Kalt, C. Internet Relay Chat: Server Protocol. RFC Editor, April 2000. http://dx.doi.org/10.17487/rfc2813.

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Jasinska, E., N. Hilliard, R. Raszuk, and N. Bakker. Internet Exchange BGP Route Server. RFC Editor, September 2016. http://dx.doi.org/10.17487/rfc7947.

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Hilliard, N., E. Jasinska, R. Raszuk, and N. Bakker. Internet Exchange BGP Route Server Operations. RFC Editor, September 2016. http://dx.doi.org/10.17487/rfc7948.

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Cobb, S. PPP Internet Protocol Control Protocol Extensions for Name Server Addresses. RFC Editor, December 1995. http://dx.doi.org/10.17487/rfc1877.

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Tarr, Gregory L. Internet Wargaming with Distributed Processing Using the Client-Server Model. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada388515.

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Adams, C., P. Sylvester, M. Zolotarev, and R. Zuccherato. Internet X.509 Public Key Infrastructure Data Validation and Certification Server Protocols. RFC Editor, February 2001. http://dx.doi.org/10.17487/rfc3029.

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