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Many developers focus on improving frontend performance, API efficiency, and caching strategies, yet the physical placement of the database is frequently neglected. When your data storage is geographically distant from your audience, each query incurs significant travel time. In such scenarios, teams often implement solutions like additional caching layers, read optimizations through denormalization, asynchronous synchronization tasks, or other methods to mask the delay.

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Developing and Validating the User Burden Scale: A Tool for Assessing User Burden in Computing SystemsHyewon Suh, University of Washington; et al.Nina Shahriaree, University of Washington,更多细节参见豆包下载

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