Description
Question 1 – 30 points
(a) (10) Insert letters ‘F’, ‘I’, ‘L’, ‘S’, ‘J’, ‘V’, ‘M’, ‘T’, ‘Z’, ‘U’, ‘O’ to an AVL tree (by hand, no codes)
and show the resulting tree after each insertion (if a rotation is needed show the tree
before and after the rotation, and state the type of the rotation). Assume that the ordering
between letters is according to their ASCII codes, i.e. A < B. (b) (10 points) Give a pseudocode (in a C++ like syntax) for computing the median of a given AVL tree (consists of all integer values as keys) called computeMedian. You can make changes in the node structure of the tree (indicate what you have added), you can assume a pointer based tree, you can assume that the tree contains all unique elements, that is, there is no repetition of elements. Your algorithm should take the root as input. Give the running time complexity of your algorithm in Big-O notation with a brief explanation of the algorithm logic. (c) (10 points) Give a pseudocode (in a C++ like syntax) for checking whether a given binary search tree is an AVL tree or not, called checkAVL. Your function should take the root of the tree as input, you can assume a pointer based tree with left and right child pointers as well as the key value in node structure. Give the running time complexity of your algorithm in Big-O notation with a brief explanation of the algorithm logic. Question 2 – 65 points In this programming assignment, you will estimate the minimum number of computers needed in a web hosting firm so that the average waiting time of a client for each HTTP request does not exceed a given amount of time. In order to estimate the minimum number of computers needed, you will be given the logs of the HTTP requests and use this data to simulate the processing of the requests by the computers and calculate the average waiting time for the requests. Using the calculated average waiting time, you will estimate the minimum number of computers needed for the future. The log file is stored in a simple text file which is a unix-style file and the end of line character is denoted by “\n”. The first line of the file gives the number of requests in the log file. The subsequent lines include the id, priority, request time (denotes the time in milliseconds since the log file is created) and process time (denotes the processing time of the request in milliseconds). Each of these are stored as integer numbers and separated by a white space. For example, from the file content given below, we see 4 requests made to the server and we can extract the information about each request. For instance, the first request has id 1 and priority 9. Additionally, we can see that it is sent after 3 ms of log file creation and can be processed in 5 ms. Similar information can also be obtained for other requests as well. Input file: 4 1 9 3 5 2 5 70 10 3 3 82 70 5 1 100 5 2 In this assignment, you will assume that each computer follows the given protocol below: ● The request with the highest priority should be processed first. ● In case of having two requests with the same highest priority, the request which is sent earlier should be selected. ● If more than one computer is available, then the computer with lower id will process the request. – Once a request is assigned to a computer, the computer immediately starts processing the request and is not available during the processing time for that request. After the process of that request ends, the computer becomes available immediately. In your implementation, you may make the following assumptions: ● The data file will always be valid. All data are composed of integers. ● In the data file, the requests are sorted according to their sent times. ● There may be any number of requests in the log file. For example, in the input file given above this number is 4. (Hint: use dynamic memory for allocations, and release it before the program ends). Important Note: In your implementation, you MUST use a heap-based priority queue to store requests that are waiting for a computer (i.e., to store requests that were sent but have not been processed yet). If you do not use such a heap-based priority queue to store these requests, then you will get no points from this assignment. The name of the input file and the maximum average waiting time will be provided as command line arguments to your program. Thus, your program should run using two command line arguments. Thus, the application interface is simple and given as follows: username@dijkstra:~>./simulator
Assuming that you have an executable called “simulator”, this command calls the executable with
two command line arguments. The first one is the name of the file from which your program reads
the log data. The second one is the maximum average waiting time; your program should calculate
the minimum number of computers required for meeting this avgwaitingtime. You may assume
that the maximum average waiting time is given as a double value.
Hint
Use the heap data structure to hold requests that are waiting for a computer and to find the request
with the highest priority. Update the heap whenever a new request arrives or a request processing
starts. In order to find the optimum number of computers needed, repeat the simulation for an
increasing number of computers and return the minimum number of computers that will achieve the
maximum average waiting time constraint. Display the simulation for which you find the optimum
number of computers.
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SAMPLE OUTPUT:
Suppose that you have the following input file consisting of the request data. Also suppose that the
name of the file is log.txt.
21
1 20 1 10
2 5 1 10
3 10 1 34
4 10 10 21
5 60 20 30
6 10 35 60
7 10 41 70
8 10 41 40
9 10 41 50
10 10 41 60
11 10 49 60
12 40 50 100
13 5 55 10
14 40 61 14
15 10 81 60
16 10 98 50
17 20 105 10
18 40 120 14
19 10 130 50
20 60 150 10
21 40 150 14
The output for this input file is given as follows for different maximum average waiting times.
Please check your program with this input file as well as the others that you will create. Please
note that we will use other input files when grading your assignments.
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username@dijkstra:~>./simulator log.txt 50
Minimum number of computers required: 3
Simulation with 3 computers:
Computer 0 takes request 1 at ms 1 (wait: 0 ms)
Computer 1 takes request 3 at ms 1 (wait: 0 ms)
Computer 2 takes request 2 at ms 1 (wait: 0 ms)
Computer 0 takes request 4 at ms 11 (wait: 1 ms)
Computer 2 takes request 5 at ms 20 (wait: 0 ms)
Computer 0 takes request 6 at ms 35 (wait: 0 ms)
Computer 1 takes request 7 at ms 41 (wait: 0 ms)
Computer 2 takes request 12 at ms 50 (wait: 0 ms)
Computer 0 takes request 14 at ms 95 (wait: 34 ms)
Computer 0 takes request 17 at ms 109 (wait: 4 ms)
Computer 1 takes request 10 at ms 111 (wait: 70 ms)
Computer 0 takes request 8 at ms 119 (wait: 78 ms)
Computer 2 takes request 20 at ms 150 (wait: 0 ms)
Computer 0 takes request 18 at ms 159 (wait: 39 ms)
Computer 2 takes request 21 at ms 160 (wait: 10 ms)
Computer 1 takes request 9 at ms 171 (wait: 130 ms)
Computer 0 takes request 11 at ms 173 (wait: 124 ms)
Computer 2 takes request 15 at ms 174 (wait: 93 ms)
Computer 1 takes request 16 at ms 221 (wait: 123 ms)
Computer 0 takes request 19 at ms 233 (wait: 103 ms)
Computer 2 takes request 13 at ms 234 (wait: 179 ms)
Average waiting time: 47.0476 ms
5
username@dijkstra:~>./simulator log.txt 20
Minimum number of computers required: 5
Simulation with 5 computers:
Computer 0 takes request 1 at ms 1 (wait: 0 ms)
Computer 1 takes request 3 at ms 1 (wait: 0 ms)
Computer 2 takes request 2 at ms 1 (wait: 0 ms)
Computer 3 takes request 4 at ms 10 (wait: 0 ms)
Computer 0 takes request 5 at ms 20 (wait: 0 ms)
Computer 1 takes request 6 at ms 35 (wait: 0 ms)
Computer 2 takes request 7 at ms 41 (wait: 0 ms)
Computer 3 takes request 10 at ms 41 (wait: 0 ms)
Computer 4 takes request 9 at ms 41 (wait: 0 ms)
Computer 0 takes request 12 at ms 50 (wait: 0 ms)
Computer 4 takes request 14 at ms 91 (wait: 30 ms)
Computer 1 takes request 8 at ms 95 (wait: 54 ms)
Computer 3 takes request 11 at ms 101 (wait: 52 ms)
Computer 4 takes request 17 at ms 105 (wait: 0 ms)
Computer 2 takes request 15 at ms 111 (wait: 30 ms)
Computer 4 takes request 16 at ms 115 (wait: 17 ms)
Computer 1 takes request 18 at ms 135 (wait: 15 ms)
Computer 1 takes request 19 at ms 149 (wait: 19 ms)
Computer 0 takes request 20 at ms 150 (wait: 0 ms)
Computer 0 takes request 21 at ms 160 (wait: 10 ms)
Computer 3 takes request 13 at ms 161 (wait: 106 ms)
Average waiting time: 15.8571 ms
Question 3 – about Scalability – 5 points
Now suppose that your simulation was to be run for a very large web hosting firm with many
potential computers (N) and many, many more HTTP requests. Would it still be a good idea to try the
simulation starting from 1 computer and increasing until you found the right number K ≤ N? What is a
better strategy for finding the optimum number of computers in such a case?
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