Failover Services for High Availability Data Centers
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Solution Overview
Problem
Data centers often lack architecture for high availability and disaster recovery, leading to interruptions, data loss, and increased downtime during outages, and require redundant systems that consume additional computing resources.
Innovation Solution
Implementing a system with failover services, data replication, and scalable architecture that includes application server devices and database clusters connected through a network file system, allowing for seamless failover and reduced redundancy, enabling quick recovery and minimizing data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant systems with real-time data mirroring are implemented, then disaster recovery capability is improved, but computing resources are consumed
Solution Approach 1:
The patent implements preliminary actions by pre-configuring failover services and replication mechanisms before disasters occur. The system establishes replication relationships and pre-positions recovery capabilities, allowing rapid response without requiring real-time redundant computing resources during normal operation.
Solution Approach 2:
The system dynamically adjusts replication parameters and failover timing based on system state and disaster scenarios. By changing parameters such as replication frequency, data synchronization intervals, and failover triggers, the system achieves reliable disaster recovery while optimizing computing resource utilization.
2Reliability
If traditional disaster recovery systems are implemented, then data protection is improved, but downtime during outages is increased
Solution Approach 1:
The patent implements preliminary actions by pre-configuring failover services and replication mechanisms before disasters occur. The system establishes replication relationships and pre-positions recovery capabilities, allowing rapid response without requiring real-time redundant computing resources during normal operation.
Solution Approach 2:
The system enables rapid failover by skipping traditional sequential recovery steps. When a disaster is detected, the system directly activates standby services and switches data sources, rushing through the recovery process to minimize downtime while maintaining data protection integrity.
3Reliability
If redundant systems are implemented, then availability is improved, but device complexity is increased
Solution Approach 1:
The patent applies universality by designing failover services that can handle multiple disaster scenarios and system failures through a unified architecture. The replication mechanism serves multiple purposes including data backup, load distribution, and disaster recovery, reducing overall system complexity while maintaining high availability.
Solution Approach 2:
The system introduces intermediary components such as replication managers and failover coordinators that simplify the complexity of redundant systems. These intermediaries manage the complexity of coordinating multiple redundant components, providing a simplified interface for disaster recovery operations while maintaining system availability.
Data Source
AI summary
A system may include a first device to provide a uniform resource identifier (URI) resolution or routing service among a first data center and a second data center. The first device may provide a first failover service among devices associated with the first data center for a set of interfaces. The system may include a first set of devices and a second set of devices associated with a first application and a second application. The first device may provide a second failover service for the first and second sets of devices. The system may include a first database cluster to provide software or a service related to clustering another set of devices or providing a threshold level of availability for the other set of devices. The first database cluster may provide a failover service for the other set of devices.