n left LL D 1 2 3 1. Minimum Cache Capacity Given a list of n items accessed in sequence from a system, and a cache with Least Recently Used (LRU) replacement policy, the goal is to determine the minimum cache size required to ensure at least k requests hit the cache. If it is not possible to achieve k hits, return -1. Assume each item in the list has a size of 1 unit. Note: A cache following Least Recently Used (LRU) replacement policy is of fixed size and when it becomes full we will delete the value which is least recently used and insert a new value. Example Suppose n = 5, requests = ["item1", "item1", "item3", "item1", "item3"], and k = 1. 4 With size of cache as 1, we get:
n left LL D 1 2 3 1. Minimum Cache Capacity Given a list of n items accessed in sequence from a system, and a cache with Least Recently Used (LRU) replacement policy, the goal is to determine the minimum cache size required to ensure at least k requests hit the cache. If it is not possible to achieve k hits, return -1. Assume each item in the list has a size of 1 unit. Note: A cache following Least Recently Used (LRU) replacement policy is of fixed size and when it becomes full we will delete the value which is least recently used and insert a new value. Example Suppose n = 5, requests = ["item1", "item1", "item3", "item1", "item3"], and k = 1. 4 With size of cache as 1, we get:
Chapter6: System Integration And Performance
Section: Chapter Questions
Problem 29VE
Related questions
Question
Please check the answer and add explanation properly
![n left
LL
D
1
2
3
1. Minimum Cache Capacity
Given a list of n items accessed in sequence from a system, and a cache
with Least Recently Used (LRU) replacement policy, the goal is to determine
the minimum cache size required to ensure at least k requests hit the
cache. If it is not possible to achieve k hits, return -1.
Assume each item in the list has a size of 1 unit.
Note: A cache following Least Recently Used (LRU) replacement policy is of
fixed size and when it becomes full we will delete the value which is least
recently used and insert a new value.
Example
Suppose n = 5, requests = ["item1", "item1", "item3", "item1", "item3"], and k
= 1.
4
With size of cache as 1, we get:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F32d20ee7-a27d-4af1-bee2-1f2bae7eca67%2F84e50c20-7af4-4d68-84ac-be04a4e0a827%2F2yptd2_processed.jpeg&w=3840&q=75)
Transcribed Image Text:n left
LL
D
1
2
3
1. Minimum Cache Capacity
Given a list of n items accessed in sequence from a system, and a cache
with Least Recently Used (LRU) replacement policy, the goal is to determine
the minimum cache size required to ensure at least k requests hit the
cache. If it is not possible to achieve k hits, return -1.
Assume each item in the list has a size of 1 unit.
Note: A cache following Least Recently Used (LRU) replacement policy is of
fixed size and when it becomes full we will delete the value which is least
recently used and insert a new value.
Example
Suppose n = 5, requests = ["item1", "item1", "item3", "item1", "item3"], and k
= 1.
4
With size of cache as 1, we get:
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