Answer:
Resource management is the system level transmission cellular networks and wireless communication.
Explanation:
Wireless communication is the process to continue to the address for faster response time,to the resource management.
Transmission is the provided by that more utilization and wireless resources available,and to discovered data.
Wireless communication system to demand the larger bandwidth and transmission using development to the system.
Wireless communication resources management the larger bandwidth and reliable transmission consumed all the system layer.
Resource management techniques tool are used in a preliminary concepts or mathematical tools,and average limited power battery.
Resource management are they necessary mathematical and fundamental tools are used in wireless communication.
Wireless communication in the provide that wireless industry in a wireless communication.
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Answer:
Explanation:
Following are the Semaphores:
Customers: Counts waiting customers;
Barbers: Number of idle barbers (0 or 1)
mutex: Used for mutual exclusion.
Cutting: Ensures that the barber won’t cut another customer’s hair before the previous customer leaves
Shared data variable:
count_cust: Counts waiting customers. ------------copy of customers. As value of semaphores can’t access directly.
// shared data
semaphore customers = 0; semaphore barbers = 0; semaphore cutting = 0; semaphore mutex = 1;
int count_cust= 0;
void barber() {
while(true) { //shop is always open
wait(customers); //sleep when there are no waiting customers
wait(mutex); //mutex for accessing customers1
count_cust= count_cust-1; //customer left
signal(barbers);
signal(mutex);
cut_hair();
}
}
void customer() {
wait(mutex); //mutex for accessing count_cust
if (count_cust< n) {
count_cust= count_cust+1; //new customer
signal(customers); signal(mutex);
wait(barbers); //wait for available barbers get_haircut();
}
else { //do nothing (leave) when all chairs are used. signal(mutex);
}
}
cut_hair(){ waiting(cutting);
}
get_haircut(){
get hair cut for some time; signal(cutting);
}
Answer:
Following are the code to this question:
file= open('book.txt') #open file
li= {} #define an empty list
for lines in file: # use for loop Split file data into words
d= lines.lower().strip(' !?').split() #define variable d that Add it to map
for val in d: #define loop to store data
if val not in li: #check value is not in list
li[val] = 0 #define list and assign value in 0
li[val] = li[val] + 1 #Sort the book data and add its value
m = sorted(li.items(),key = lambda x : -x[1]) #sorted value into the m variable
print(m[:10]) #print value
Output:
please find the attachment.
Explanation:
In the given python code first, we open the file "book.txt", in next line, an empty list is defined, that uses the for loop which can be described as follows:
- In the for loop is used, that reads the file data, and defines a variable "d", that stores the values into the map.
-
In the next line another loop is used, that check file values, if values are the same type so, it adds values and writes it.
- In the last line, m variable is used, that sorts the values and use the slicing to print its value.
<em>How does multithreading affect the throughput of a GetFile Server hosting many very large files?</em>
Answer:
It create multiple threads of large file which eventually causes in slowing down the speed of server which results in slower response time.
<em>How does multithreading affect the average response time for a GetFile server hosting a few small files?</em>
Answer:
Multiple threads in smaller files result in rapid response time and enormous process speed in small files.
