Memory Cache Data Center Segmentation for Latency Reduction
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Solution Overview
Problem
As the number of users increases, managing data across a single data center becomes challenging, and network latency issues arise due to users being located far from the data center, especially when large data centers lack efficient caching mechanisms.
Innovation Solution
Implementing a memory cache data center that communicates with other data centers to store and retrieve data, using a memory cache that does not include a local database, allowing it to focus on volatile storage with proactive backfilling and data replication across multiple servers for redundancy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single large data center is used to manage all users, then data storage capacity is sufficient, but management complexity increases and network latency increases for distant users
Solution Approach 1:
The patent divides the single large data center into multiple distributed data centers (first data center, second data center, etc.), each managing a portion of the user base. This segmentation reduces management complexity while maintaining sufficient storage capacity across the distributed system, and places users geographically closer to their local data center to reduce network latency.
2Quantity of substance
If a single large data center is used to manage all users, then data storage capacity is sufficient, but network latency increases for distant users
Solution Approach 1:
By segmenting the user base across multiple geographically distributed data centers, users experience reduced network latency as they connect to their local data center rather than a distant centralized one. The total storage capacity is maintained through the distributed architecture.
3Ease of manufacture
If a memory cache without local database is used, then hardware costs are reduced, but data persistence capability is reduced
Solution Approach 1:
The patent introduces a database system as an intermediary between the memory cache and persistent storage. The memory cache provides fast access to frequently used data while the database system handles data persistence and durability, allowing the system to achieve both low hardware costs and reliable data persistence without requiring expensive persistent storage in every node.
Data Source
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AI summary
A data center system includes a memory cache coupled to a data center controller. The memory cache includes volatile memory and stores data that is persisted in a database in a different data center system that is located remotely from the data center system rather than in the first data center system. The data center controller reads data from the memory cache and writes data to the memory cache.