COMP3310/6331 – #19 Flow control and congestion Dr Markus Buchhorn: markus.buchhorn@anu.edu.au Where are we? • Going back into the dark layers Application Presentation Session Transport Network Link (Ethernet, WiFi, …) Physical (Cables, Space and Bits) Messages Segments Packets Frames Bits 2 Remember (TCP) Sliding Windows? • Want reliability and throughput – and fill pipes! • […]
CS计算机代考程序代写 flex algorithm COMP3310/6331 – #19 Read More »
# searchTestClasses.py # ——————– # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
CS计算机代考程序代写 AI algorithm # searchTestClasses.py Read More »
class: “GraphSearchTest” algorithm: “uniformCostSearch” diagram: “”” B ^ | *A –> C –> G | V D A is the start state, G is the goal. Arrows mark possible state transitions. This tests whether you extract the sequence of actions correctly even if your search backtracks. If you fail this, your nodes are not correctly
CS计算机代考程序代写 algorithm class: “GraphSearchTest” Read More »
# Graph where BFS finds the optimal solution but DFS does not class: “GraphSearchTest” algorithm: “uniformCostSearch” diagram: “”” /– B | ^ | | | *A –>[G] | | ^ | V | \–>D —-/ A is the start state, G is the goal. Arrows mark possible transitions “”” # The following section specifies the
CS计算机代考程序代写 algorithm # Graph where BFS finds the optimal solution but DFS does not Read More »
COMP3310/6331 – #18 Routing Dr Markus Buchhorn: markus.buchhorn@anu.edu.au The biggest application of all? • Routing – How do packets get across the Internet? – Without it there is no Internet • Most complex, longest-running application ever? – Millions of devices – Running 24/7 – Shifting Pb/s of traffic – Dealing with multiple topology changes every
# search.py # ——— # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # Attribution Information:
CS计算机代考程序代写 AI algorithm # search.py Read More »
class: “GraphSearchTest” algorithm: “aStarSearch” diagram: “”” 1 1 1 *A —> B —> C —> [G] | ^ | 10 | \———————/ A is the start state, G is the goal. Arrows mark possible state transitions. The number next to the arrow is the cost of that transition. If you fail this test case, you
CS计算机代考程序代写 algorithm class: “GraphSearchTest” Read More »
class: “GraphSearchTest” algorithm: “uniformCostSearch” diagram: “”” C ^ | 2 2 V 4 *A B —–> [H] |1 1.5 V 2.5 G E | 2 | V [F] A is the start state, F and H is the goal. Arrows mark possible state transitions. The number next to the arrow is the cost of that
CS计算机代考程序代写 algorithm class: “GraphSearchTest” Read More »
class: “PacmanSearchTest” algorithm: “enforcedHillClimbing” # The following specifies the layout to be used layoutName: “mediumMaze” layout: “”” %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % P% % %%%%%%%%%%%%%%%%%%%%%%% %%%%%%%% % % %% % % %%%%%%% %% % % %% % % % % %%%% %%%%%%%%% %% %%%%% % %% % % % % %% %% % % %% % % %
CS计算机代考程序代写 algorithm class: “PacmanSearchTest” Read More »
class: “PacmanSearchTest” algorithm: “uniformCostSearch” points: “0.5” # The following specifies the layout to be used layoutName: “testSearch” layout: “”” %%%%% %.P % %%% % %. % %%%%% “”” searchProblemClass: “FoodSearchProblem” leewayFactor: “2”
CS计算机代考程序代写 algorithm class: “PacmanSearchTest” Read More »