Proxy Cache Aggregator for Social Data Timeliness
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Solution Overview
Problem
Social networking systems face challenges in providing timely and updated notifications of actions to users due to the growing complexity of aggregating relevant information as the number of users increases, often resulting in notifications that do not reflect the most recent actions.
Innovation Solution
A social networking system that includes a social data aggregator, an action logger, and a high-performance action cache, which uses proxy data aggregators to select and cache the most relevant action data based on engagement scores, reducing network traffic and processing volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is retrieved from distributed remote data hosts in real-time, then the most recent action data is obtained, but network traffic and processing time increase significantly
Solution Approach 1:
The system performs preliminary actions by proactively selecting and caching relevant action data from remote data hosts before it is requested. The social data aggregator continuously identifies high-engagement action data and stores it in the action cache in advance, so that when notifications are needed, the data is already available locally without requiring real-time retrieval from remote hosts.
Solution Approach 2:
The action cache serves as an intermediary component between the remote data hosts and the notification system. Instead of directly querying remote data hosts for action data, the system first checks the local action cache, which holds pre-fetched relevant data. This intermediary layer reduces direct network traffic to remote hosts and accelerates data retrieval for notifications.
2Loss of information
If all action data from remote data hosts is processed to identify relevant data, then complete information is available, but network traffic and processing volume increase
Solution Approach 1:
The system applies local quality by making different parts of the data processing system have different functions. The social data aggregator performs selective filtering and engagement score calculation only on action data that is most likely to be relevant, rather than uniformly processing all action data from remote hosts. This targeted approach reduces overall processing energy while maintaining information completeness for high-value data.
Solution Approach 2:
The system performs partial action by selectively processing only the most relevant action data based on engagement scores and other criteria. Instead of processing all action data equally, the social data aggregator identifies and processes a subset of high-priority action data that is most likely to generate user engagement, reducing total processing volume while maintaining the quality of notifications.
3Reliability
If the action cache is updated frequently from remote data hosts, then the cache remains current, but network traffic increases
Solution Approach 1:
The system changes parameters by dynamically adjusting the engagement score thresholds and selection criteria based on user behavior patterns and temporal factors. By modifying these parameters, the social data aggregator can optimize which action data is cached and when updates are necessary, reducing network traffic while maintaining data currentness for the most relevant actions.
Data Source
AI summary
A social data aggregator generates entries of action data describing actions taken by users of a social networking system. The entries are archived in a number of remote data hosts, with a portion of the entries stored in an action cache to expedite retrieval. The action cache is modified to include relevant entries of action data by selecting the most relevant entries from proxy data aggregators, which identify sets of entries from remote data hosts coupled to the proxy data aggregators based on the relevance of the entries in the remote data hosts. The relevance of an entry is based on an associated engagement score indicating a likelihood of a user requesting content interacting with a notification based on an entry.