Web Service Caching System for Fault Tolerance and Timestamp Synchronization
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Solution Overview
Problem
Existing web-based service request processing systems often fail to handle requests gracefully, leading to service errors due to lack of fault tolerance, inefficient scaling, and inadequate data replication, especially in high-volume transaction systems where timestamp synchronization across multiple data centers is challenging.
Innovation Solution
A distributed caching service system that supports multiple service request types (REST, SOAP, HTTP, HTTPS) with active/active and active/standby configurations for fault tolerance and data replication, utilizing virtualized environments with shared storage and load balancing to ensure high availability and efficient request processing, and a method for minimizing network traffic by maintaining timestamp information based on last access rather than last update.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional web-based service request processing systems are used, then basic request handling is provided, but fault tolerance is insufficient leading to service errors
Solution Approach 1:
The system segments web service requests into cachable and non-cachable categories, implementing different handling paths for each type. This segmentation allows the system to apply caching mechanisms selectively, improving fault tolerance for appropriate requests while maintaining simplicity for others that don't benefit from caching.
Solution Approach 2:
The patent implements prior cushioning by pre-caching web service requests and responses before actual failures occur. The caching service stores requests and responses in advance, creating a buffer that can absorb failures in the distributed system, allowing the system to serve cached responses even when backend services are unavailable.
2Reliability
If distributed caching service with active/active and active/standby configurations is implemented, then fault tolerance and data replication are improved, but network traffic increases due to timestamp synchronization
Solution Approach 1:
The patent applies local quality by allowing each data center to independently manage its cached data with local timestamp updates, rather than requiring constant global synchronization. Each caching service instance can update timestamps locally for its cached items, reducing the need for extensive network communication while maintaining data consistency across distributed systems.
Solution Approach 2:
The system extracts timestamp information from the main data synchronization process, handling it separately and efficiently. By extracting timestamp management from the core data replication mechanism, the system can update timestamps with minimal network overhead, allowing data centers to synchronize only when necessary while maintaining continuous operation.
3Stability of the object's composition
If traditional timestamp synchronization is used across multiple data centers, then data consistency is maintained, but excessive network traffic is generated
Solution Approach 1:
The patent implements partial synchronization by updating timestamps only when necessary rather than continuously synchronizing all timestamp data across data centers. The caching service performs selective timestamp updates based on actual data changes, avoiding excessive network traffic while maintaining sufficient data consistency for operational needs.
4Reliability
If web service requests are cached across multiple data centers, then availability is improved, but system complexity increases
Solution Approach 1:
The caching service is designed with multi-functionality to handle various web service protocols (REST, SOAP, HTTP, HTTPS) and caching configurations (active/active, active/standby, active/single) through a unified interface. This universal design reduces system complexity by providing a single caching service solution that adapts to different requirements rather than requiring separate systems for each scenario.
Solution Approach 2:
The system implements dynamic configuration capabilities, allowing caching behavior, replication strategies, and failover mechanisms to be adjusted based on actual system conditions and requirements. The caching service can dynamically adapt its operation mode between active/active and active/standby configurations, optimizing availability while managing complexity through flexible, condition-based behavior.
Data Source
AI summary
A system is provided that is adapted to service web-based service requests. In one implementation, a caching service is provided for storing and servicing web service requests. In one implementation, virtual computer systems may be used to service requests in a more reliable manner. Different operating modes may be configured for backup redundancy and the caching service may be scaled to meet service requests for a particular application. Also, methods are provided for exchanging timestamp information among web service transaction systems to reduce the amount of processing capability and bandwidth for ensuring database consistency.