Memory Management & Garbage Collection

What memory concern exists with this memoization implementation?

function memoize(fn) {
  const cache = {};
  
  return function(...args) {
    const key = JSON.stringify(args);
    if (cache[key]) {
      return cache[key];
    }
    
    const result = fn(...args);
    cache[key] = result;
    return result;
  };
}

const calculateExpensive = memoize((x, y) => {
  // Complex calculation
  return x * y;
});

JSON.stringify is too memory intensive
The cache can grow unbounded with no mechanism to clear old entries
The key memory concern is the unbounded cache growth: 1) The cache object stores results indefinitely with no mechanism to clear old or infrequently used entries, 2) This can lead to growing memory consumption over time, especially with many unique argument combinations, 3) For long-running applications or functions with many unique inputs, this could cause significant memory bloat, 4) An improved implementation would include a cache eviction strategy like LRU (Least Recently Used), a maximum size limit, or time-based expiration, 5) Memoization inherently trades memory for speed, so careful consideration of this tradeoff is required, 6) The specific context determines whether this implementation is problematic—it may be fine for limited input ranges, 7) Caching strategies should align with usage patterns and memory constraints, 8) This is a common pattern that demonstrates how performance optimizations can sometimes introduce memory concerns.
Arrow functions cause memory leaks
The arguments object retains too much memory

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