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In which scenario is the Optimal page replacement algorithm most beneficial compared to FIFO and LRU?

easy🔍 Pattern Recognition Q11 of Q15
Operating Systems - Page Replacement - FIFO, LRU, Optimal Algorithm
In which scenario is the Optimal page replacement algorithm most beneficial compared to FIFO and LRU?
AWhen the workload is highly random and unpredictable
BWhen the system has very limited memory and needs a simple algorithm
CWhen the system can predict future page requests accurately
DWhen the system wants to minimize implementation complexity
Step-by-Step Solution
  1. Step 1: Understand Optimal Algorithm's Principle

    The Optimal algorithm evicts the page that will not be used for the longest time in the future, which requires knowledge of future requests.
  2. Step 2: Analyze Each Option

    When the system can predict future page requests accurately is correct because Optimal needs future knowledge to be effective.
    When the system has very limited memory and needs a simple algorithm is incorrect because Optimal is complex and not simple.
    When the workload is highly random and unpredictable is incorrect because unpredictability makes future knowledge impossible.
    When the system wants to minimize implementation complexity is incorrect because Optimal is the most complex to implement.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Optimal is theoretical and best when future requests are known.
Quick Trick: Optimal needs future knowledge -> best with predictable workloads [OK]
Common Mistakes:
MISTAKES
  • Assuming Optimal is practical without future knowledge
  • Confusing simplicity with effectiveness
  • Believing Optimal works well with random workloads
Trap Explanation:
PITFALL
  • Options B, C, and D are tempting because they describe common system constraints, but Optimal's key requirement is future knowledge, which is rarely available.
Interviewer Note:
CONTEXT
  • Tests candidate's understanding of when Optimal algorithm is applicable versus practical constraints.
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