Event Server Caching for Real-Time Stream Processing
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Solution Overview
Problem
Event servers face challenges in processing real-time data streams efficiently, as they often require converting multiple input streams into smaller output streams, leading to performance issues and limited flexibility in handling data availability and storage.
Innovation Solution
The integration of a caching system within the event server, allowing for the use of a cache as both an event source and sink, enables flexible operation by using the same event processing language code for both input and output, increasing availability and performance through asynchronous data processing and direct programmatic access to cache data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If event servers convert multiple input streams into smaller output streams in real-time, then processing speed is improved, but system complexity and performance issues arise
Solution Approach 1:
The patent introduces a cache as an intermediary component between input streams and event processing logic. The cache stores event data and allows event processing to occur asynchronously, decoupling the real-time ingestion of multiple input streams from the processing operations. This mediator approach enables high-speed data ingestion while maintaining manageable processing complexity.
Solution Approach 2:
The patent implements preliminary action by pre-storing event data in the cache before actual processing occurs. Events are captured and held in the cache in real-time, allowing subsequent processing operations to retrieve and analyze the data without blocking the ingestion pipeline. This separation of data capture from data processing reduces system complexity while maintaining processing speed.
2Reliability
If event servers process data synchronously, then processing accuracy is maintained, but availability and performance decrease
Solution Approach 1:
The cache performs preliminary action by storing events as they arrive, allowing the system to maintain high availability for data ingestion while processing operations can occur at their own pace. This ensures no events are lost (maintaining reliability) while enabling parallel processing operations that increase throughput.
Solution Approach 2:
The patent enables continuous useful action by allowing event ingestion to continue uninterrupted while processing operations occur independently. The cache maintains continuous data availability for processing without requiring synchronous coordination, thereby maintaining both high availability and processing throughput through asynchronous operations.
3Reliability
If event servers use caching, then availability and performance increase, but data consistency and latency control become challenging
Solution Approach 1:
The patent applies dynamics by making the cache configurable and adaptable to different operational requirements. The system can dynamically adjust cache behavior, retention policies, and access patterns based on specific use cases, allowing optimization between availability and latency control for different event types and processing requirements.
Solution Approach 2:
The patent utilizes parameter changes by allowing configuration of cache timing parameters, retention durations, and access patterns. These adjustable parameters enable the system to optimize for either availability or latency control depending on the specific operational context, resolving the contradiction through configurable parameter adjustment rather than fixed behavior.
4Adaptability or versatility
If event servers integrate third-party caching products, then functionality and performance are enhanced, but integration complexity increases
Solution Approach 1:
The patent implements universality by designing the caching interface to work with multiple third-party cache implementations (such as GemFire and GigaSpaces) through a common event processing language. This universal interface layer allows the system to leverage the functionality of different caching products without requiring separate integration logic for each, thereby enhancing versatility while controlling integration complexity through standardization.
Data Source
AI summary
An event server adapted to receive events from an input stream and produce an output event stream. The event server uses a processor using code in an event processing language to process the events. The event server obtaining input events from and/or producing output events to a cache.