generation test packets automatically de kalyanashetti anup (9 resultados)

Condición: New.

Paperback. Condición: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Condición: New.

Taschenbuch. Condición: Neu. Generation of Test Packets Automatically in a Secured way | Anup Kalyanashetti (u. a.) | Taschenbuch | 72 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659939853 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Networks are getting larger and more complex, yet the administrator rely on the most basic tools such as ping and traceroute to fix problems. It will be proposed with an automated and systematic approach for testing and to debug the networks called as 'Test Packet Generation'. This system reads router configurations and generates a device-independent model. The model is used to generate as possible as minimum set of test packets to exercise every link in the network or exercise every rule in the network. Test packets are sent periodically, and detected failures trigger a separate mechanism in order to localize the fault. This system can detect both functional (e.g., incorrect firewall rule) as well as performance problems (e.g., congested queue). It supplements yet goes past prior work in static checking (which can't distinguish liveness or execution blames) or failing restriction (which just restrict deficiencies given liveness results). It's been implemented in the two real world data sets named as Stanford backbone network and the internet2. The results are surprising as it took very less number of test packets to check all the rules of the network. 72 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Networks are getting larger and more complex, yet the administrator rely on the most basic tools such as ping and traceroute to fix problems. It will be proposed with an automated and systematic approach for testing and to debug the networks called as ¿Test Packet Generation¿. This system reads router configurations and generates a device-independent model. The model is used to generate as possible as minimum set of test packets to exercise every link in the network or exercise every rule in the network. Test packets are sent periodically, and detected failures trigger a separate mechanism in order to localize the fault. This system can detect both functional (e.g., incorrect firewall rule) as well as performance problems (e.g., congested queue). It supplements yet goes past prior work in static checking (which can't distinguish liveness or execution blames) or failing restriction (which just restrict deficiencies given liveness results). It¿s been implemented in the two real world data sets named as Stanford backbone network and the internet2. The results are surprising as it took very less number of test packets to check all the rules of the network.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Networks are getting larger and more complex, yet the administrator rely on the most basic tools such as ping and traceroute to fix problems. It will be proposed with an automated and systematic approach for testing and to debug the networks called as 'Test Packet Generation'. This system reads router configurations and generates a device-independent model. The model is used to generate as possible as minimum set of test packets to exercise every link in the network or exercise every rule in the network. Test packets are sent periodically, and detected failures trigger a separate mechanism in order to localize the fault. This system can detect both functional (e.g., incorrect firewall rule) as well as performance problems (e.g., congested queue). It supplements yet goes past prior work in static checking (which can't distinguish liveness or execution blames) or failing restriction (which just restrict deficiencies given liveness results). It's been implemented in the two real world data sets named as Stanford backbone network and the internet2. The results are surprising as it took very less number of test packets to check all the rules of the network.