Search⌘ K
AI Features
Home
Courses
Grokking Modern System Design Interview

Evaluation of a Distributed Cache's Design

Evaluate a distributed cache design by assessing its performance, scalability, and availability against defined requirements. Analyze how consistent hashing and eviction algorithms, like LRU, influence effective access time (EAT). Understand the critical trade-offs between strong consistency and high availability in distributed caching.

We'll cover the following...

Requirements compliance

Let’s evaluate the design against our requirements.

High performance

The following design choices contribute to high performance:

  • Consistent hashing locates keys in O(log N)\text{O(log N)} time, where N\text{N} is the number of cache shards.

  • Internal hash tables locate keys in constant time on average.

  • LRU eviction accesses and updates doubly linked list entries in constant time.

  • TCP and UDP protocols ensure fast client-server communication.

  • Replicas distribute traffic, preventing performance degradation from high loads on a single machine.

  • Serving data directly from RAM ensures low latency.

Note: The ...