Implement this algorithm in C program . Show the gantt chart as output. Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. As the term is generally used, time slices (also known as time quanta) are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive)
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Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. As the term is generally used, time slices (also known as time quanta) are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive).
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- Job scheduling: Consider the problem of scheduling n jobs of known durations t1, t2, . . . , tn for execution by a single processor. The jobs can be executed in any order, one job at a time. You want to find a schedule that minimizes the total time spent by all the jobs in the system. (The time spent by one job in the system is the sum of the time spent by this job in waiting plus the time spent on its execution.) Design a greedy algorithm for this problem. Does the greedy algorithm always yield an optimal solution? (Hint: You may get a clue from Prim’s Algorithm)Group scheduling Scheduling tasks to actors (people, CPUs, machines etc) is a problem that one encounters very often in practice. In this small exercise, we practice how to solve such a problem by using recursive problem solving. More specifically, we solve the following problem: We are organizing a course and have n� tutorial groups. To run the groups, we are hiring m� teaching assistants. Due to other responsibilities, an assistant is not necessarily able to teach all possible tutorial groups but has a set of groups that s/he can teach. We call this set of possible groups the preferences of the assistant.Is it possible to assign each tutorial group one assistant in a way that (i) all the assistants' preferences are respected, and (ii) each assistant teaches at most one tutorial group?Needless to say, this a very simplified version of the problem; in real life, some groups need more assistants, some assistants can teach more groups, consecutive group times for an assistant should be…Please do not give solution in image formate thanku. Write a Python code for the following scenario : 1: Use Breadth First Search and Recursive Best First Search and implement the algorithms in Python. The program should be able to dynamically take in start and goal nodes from the user at run time. Compare to interpret the results in terms of the algorithm working, performance & shortest path if obtained relevant to the given problem 2: Print the minimum connections that keep the whole network up and running. For each incremental depth limit, the corresponding node generating sequence should be legibly printed in the result Consider Heuristic Value as : The edge cost is an approximation towards the transmission cost between any pair of nodes. For heuristic design, consider all the possible paths between any arbitrary node n to the goal node. The average of the total transmission cost across all these paths is the heuristic value h(n) Consider the following undirected graph…
- A graph is a collection of vertices and edges G(V, E). A weighted graph has weights (numbers, etc.) on every edge. A multigraph can have more than one edges between any vertices. Explain why a person should use a weighted graph instead of a multigraph. Give examples. An adjacency matrix might be a better choice for speeding up a program, however, it consumes huge memory for large graphs. How this situation can be improved? What programming constructs better suit graph representation? Explain with exampleJob scheduling Consider the problem of scheduling n jobs of known durations t1,t2,. . .,tn for execution by a single processor. The jobs can be executed in any order, one job at a time. You want to find a schedule that minimizes the total time spent by all the jobs in the system. (The time spent by one job in the system is the sum of the time spent by this job in waiting plus the time spent on its execution.) Design a greedy algorithm for this problem. Does the greedy algorithm always yield an optimal solution?2.Polling server. A real-time system has two periodic tasks T1 (5, 1), T2 (6, 2), and a polling server S (4, 1). Two aperiodic jobs are released at 2 and 8 with execution time 1.5 and 2 respectively. Apply Rate-Monotonic algorithm to schedule the periodic and aperiodic jobs and draw the Gantt chart
- A star configuration of a network represents its structure as a graph with an edge from a single, central node to each remaining node. A point-to-point configuration represents a network as a complete graph. Draw a picture of an example of each kind of configuration with four nodes, and use big-O notation to state the efficiency of adding or removing a given node in each type of configuration. You can assume for now that removing each edge is a constant-time operation. *PythonQ2: Besides the while-loop in Q1, I want to implement a 2nd while-loop running in parallel with the first while: while(1) { wt(1); XX); } However, on an MCU there is no parallelism. (For ex., on Arduino I can define only one loop() function.) Write a single while that does the job of both whiles. (a) Write it in a procedural style. (b) Write it the super-loop style (state-machine with fixed heartbeat).Text reading is an integral component in our counting algorithms, and it is also ubiquitous in daily applications. The following is a very bad algorithm for reading from a text file, although it is correct and straightforward. It reads from a file line by line, and concatenate them into text. Then we split it using a regular expression. The split part is fast in linear complexity (we will learn it in Comp-2140), hence that is not our concern. Note that trim() is needed to remove empty strings. static String [] readTextBAD (String PATH) throws Exception { BufferedRe ader br=new BufferedReader (new FileReader(PATH)); String text=""; String line=""; while ((line=br.readLine ())!=null) text=text+" "+line.trim(); String tokens []=text.trim().split("[^a-zA -Z]+"); return tokens; } 5.4.1 Time complexity of readTextBAD Write below the time complexity of readTextBAD in terms of the text word length n, and explain your answer. Refer to repeat1 example in the textbook for the cause of low speed…
- Wireless sensor networks (WSNs) refer to a domain of communication networks. In a WSN, small devices called sensor nodes are used for data transfer among each other and a base station. One limitation of a sensor node is that it has a very limited processing capability and very small memory. Consider a scenario in which you have an algorithm that can be subdivided into smaller problems. If you have to run these sub-problems in different sensor nodes, would you prefer to use divide & conquer approach or dynamic programming approach? Write briefly and precisely.Design a recursive version of dynamic programming algorithm (Top-down) to construct the actual solution of the matrix chain multiplication problem (i.e., the parentheses order). For this problem, please write down the recursive function in pseudocode and Write down the dynamic table and matrix output on the following examples: (a) Three matrices (A, B, and C) with dimensions 10 × 50 × 5 × 100, respectively. (b) Four matrices (A, B, C, and D) with dimensions 20 × 5 × 10 × 30 × 10, respectively.1 Implement a function performing gradient descent using numerical solution (STOCHASTIC gradient descent) def myGradientDescentFun(X,y,learning_rate,epoches, batchsize): # Inputs: Training data, training label, learrning rate, number of epoches, batch size # Output: the final Weights # the loss history along batches