The lack of analytical models that can accurately describe large-scale networked systems makes empirical experimentation indispensable for understanding complex behaviors. Research on network testbeds for testing network protocols and distributed services, including physical, emulated, and federated testbeds, has made steady progress. Although the success of these testbeds is undeniable, they fail to provide: 1)scalability, for handling large-scale networks with hundreds or thousands of hosts and routers organized in different scenarios, 2)flexibility, for testing new protocols or applications in diverse settings, and 3)inter-operability, for combining simulated and real network entities in experiments. This work tackles these issues in three different dimensions. First, I present SVEET, a system that enables inter-operability between real and simulated hosts. Second, I present PrimoGENI, a system that allows a distributed discrete-event simulator, running in real-time, to interact with real network entities in a federated environment. Finally, I present a novel symbiotic simulation approach.
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The lack of analytical models that can accurately describe large-scale networked systems makes empirical experimentation indispensable for understanding complex behaviors. Research on network testbeds for testing network protocols and distributed services, including physical, emulated, and federated testbeds, has made steady progress. Although the success of these testbeds is undeniable, they fail to provide: 1)scalability, for handling large-scale networks with hundreds or thousands of hosts and routers organized in different scenarios, 2)flexibility, for testing new protocols or applications in diverse settings, and 3)inter-operability, for combining simulated and real network entities in experiments. This work tackles these issues in three different dimensions. First, I present SVEET, a system that enables inter-operability between real and simulated hosts. Second, I present PrimoGENI, a system that allows a distributed discrete-event simulator, running in real-time, to interact with real network entities in a federated environment. Finally, I present a novel symbiotic simulation approach.
Miguel A. Erazo obtained his Bachelor's degree in Electrical Engineering from UMSA in 2003. In 2006, he obtained his M.Sc. degree in Computer Engineering from University of Puerto Rico. In 2011, he worked in Los Alamos National Laboratory. In 2013 he obtained his Ph.D. degree from Florida International University. Currently, he works at Amazon.com
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The lack of analytical models that can accurately describe large-scale networked systems makes empirical experimentation indispensable for understanding complex behaviors. Research on network testbeds for testing network protocols and distributed services, including physical, emulated, and federated testbeds, has made steady progress. Although the success of these testbeds is undeniable, they fail to provide: 1)scalability, for handling large-scale networks with hundreds or thousands of hosts and routers organized in different scenarios, 2)flexibility, for testing new protocols or applications in diverse settings, and 3)inter-operability, for combining simulated and real network entities in experiments. This work tackles these issues in three different dimensions. First, I present SVEET, a system that enables inter-operability between real and simulated hosts. Second, I present PrimoGENI, a system that allows a distributed discrete-event simulator, running in real-time, to interact with real network entities in a federated environment. Finally, I present a novel symbiotic simulation approach. 164 pp. Englisch. N° de réf. du vendeur 9783639516388
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Erazo Miguel A.Miguel A. Erazo obtained his Bachelor s degree in Electrical Engineering from UMSA in 2003. In 2006, he obtained his M.Sc. degree in Computer Engineering from University of Puerto Rico. In 2011, he worked in Los Alamos. N° de réf. du vendeur 4993279
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The lack of analytical models that can accurately describe large-scale networked systems makes empirical experimentation indispensable for understanding complex behaviors. Research on network testbeds for testing network protocols and distributed services, including physical, emulated, and federated testbeds, has made steady progress. Although the success of these testbeds is undeniable, they fail to provide: 1)scalability, for handling large-scale networks with hundreds or thousands of hosts and routers organized in different scenarios, 2)flexibility, for testing new protocols or applications in diverse settings, and 3)inter-operability, for combining simulated and real network entities in experiments. This work tackles these issues in three different dimensions. First, I present SVEET, a system that enables inter-operability between real and simulated hosts. Second, I present PrimoGENI, a system that allows a distributed discrete-event simulator, running in real-time, to interact with real network entities in a federated environment. Finally, I present a novel symbiotic simulation approach. N° de réf. du vendeur 9783639516388
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Taschenbuch. Etat : Neu. Leveraging Symbiotic Relationships for Emulation of Computer Networks | Miguel A. Erazo | Taschenbuch | 164 S. | Englisch | 2013 | Scholars' Press | EAN 9783639516388 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105693164
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The lack of analytical models that can accurately describe large-scale networked systems makes empirical experimentation indispensable for understanding complex behaviors. Research on network testbeds for testing network protocols and distributed services, including physical, emulated, and federated testbeds, has made steady progress. Although the success of these testbeds is undeniable, they fail to provide: 1)scalability, for handling large-scale networks with hundreds or thousands of hosts and routers organized in different scenarios, 2)flexibility, for testing new protocols or applications in diverse settings, and 3)inter-operability, for combining simulated and real network entities in experiments. This work tackles these issues in three different dimensions. First, I present SVEET, a system that enables inter-operability between real and simulated hosts. Second, I present PrimoGENI, a system that allows a distributed discrete-event simulator, running in real-time, to interact with real network entities in a federated environment. Finally, I present a novel symbiotic simulation approach.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783639516388
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