Based on the information given, it is important to give higher priority to the queue that contains the high priority thread.
<h3>
</h3><h3>
What is the Important Fact?</h3>
- A lot of interrupts can take place at any time, and due to that, they cannot always be ignored as the part of code affected by interrupts need to be guarded from constant use.
- So, the load-balancing requirements for keeping about the same number of threads would need to be taken or retained and the important case of top priority thread would also be kept.
- An priority-based scheduling algorithm can handle this situation if one run queue had all high-priority threads and a second queue had all low-priority threads because if giving greater priority to the two queue that has the national priority comment section as well as, so, first method is the thread in all of the queue.
- Multi-level queue scheduling algorithm is used in scenarios where the processes can be classified into groups based on property like process type, CPU time, IO access, memory size, etc. One general classification of the processes is foreground processes and background processes.
To learn more about multi-level refer to:
brainly.com/question/16902508
#SPJ4
When we say indirect perception checking, this is when we make confirmations about the information that we have gathered through passive perception. This is done by collecting information that may either support or negate our interpretation. Based on the given situations above, the one that makes a best exaple of what indirect perception checking is, is this: <span>observing your mother’s actions to see if she is angry. Answer is B.</span>
Answer:
Explanation:
The following code is written in Python and it is a function called filter, which takes in the requested inputs. It then places the threshold in its own variable and pops it out of the array of inputs. Then it loops through the array comparing each element with the threshold and printing out all of the ones that are less than or equal to the threshold.
def filter():
num_of_elements = input("Enter a number: ")
count = 0
arr_of_nums = []
while count <= int(num_of_elements):
arr_of_nums.append(input("Enter a number: "))
count += 1
threshold = arr_of_nums[-1]
arr_of_nums.pop(-1)
print(threshold)
for element in arr_of_nums:
if int(element) < int(threshold):
print(element)
else:
continue
Answer:
Quantum
Explanation:
A quantum is the time between interrupt pulses, and represents the time each program will have allocated to it to run. a quantum specifies the duration of time an interrupt delays for, before sending an extra pulse to the CPU. This is to properly coordinate the functions of the input and output devices of the computer better.
Quantum times are not usually fixed. they can be 1 millisecond or up to 10 milliseconds depending on the tasks that need to be performed
