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Arpit Bhayani Blogs

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Arpit Bhayani Blogs
001 Ai Topological Sort

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TLDR: The RUM Conjecture - Storage System Trade-offs

Date: 2020-05-31 Source: https://arpitbhayani.me/blogs/rum

Overview

Explore the RUM Conjecture - How Read, Update, and Memory overheads impact storage system design and performance trade-offs. Read Overhead occur when the storage engine performs reads on auxiliary data to fetch the required intended main data.

Key Points

  • Read Overhead: Read Overhead occur when the storage engine performs reads on auxiliary data to fetch the required intended main data.
  • Read Optimised: Read Optimised storage systems offer very low read overhead but require some extra auxiliary space to gain necessary performance that again comes at a cost of updates required to keep auxiliary data in sync with main data which adds to update overheads.
  • Update Optimised: Update Optimised storage systems offer very low Update Overhead by usually using an auxiliary space holding differential data (delta) and flushing them over main data in a bulk operation.
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  • Memory Optimised: Memory Optimised storage systems are designed to minimize auxiliary memory required for access and updates on the main data.

    • Takeaway

    Memory Optimised storage systems are designed to minimize auxiliary memory required for access and updates on the main data.