Replication techniques in the context of fault tolerance

1. Full Replication

Complete duplication of system or data across multiple nodes.

Implementation: Every node maintains an identical copy of the entire system or dataset.

Advantages of Full Replication:

  • Straightforward fault tolerance.
  • Seamless switch to a backup node in case of failure.

Challenges of Fulll Replication:

  • Resource-intensive, as each node hosts a full replica.
  • Synchronization mechanisms are crucial for consistency.

2. Partial Replication

Selective duplication of critical components or data.

Implementation: Replicates only essential elements for system functionality, optimizing resource usage.

Advantages of Partial Replication:

  • Resource efficiency.
  • Focuses on replicating key components.
  • Requires careful selection of components for replication.

Challenges of Partial Replication:

  • Complexity in determining which parts are critical.
  • Synchronization challenges for selectively replicated components.

3. Shadowing or Passive Replication

Maintaining passive copies that activate only upon primary system failure.

Implementation: Inactive replicas become active when the primary system encounters a fault.

Advantages of Shadowing or Passive Replication:

  • Resource efficiency during normal operation.
  • Quick response in case of a failure.

Challenges of Shadowing or Passive Replication:

  • Synchronization during the transition from passive to active state.
  • Effective fault detection mechanisms are crucial.

4. Active Replication:

All replicas actively process the same inputs concurrently.

Implementation:

Requests are distributed to all replicas, and their outputs are compared to determine the correct result.

Advantages of Active Replication:

  • High fault tolerance.
  • Continued processing even if some replicas fail.

Challenges of Active Replication:

  • Increased communication overhead due to multiple replicas actively processing.
  • Managing consistency among active replicas is complex.

Fault Tolerance in System Design

Fault tolerance is the ability of a system to continue performing, or at least minimize downtime, even when some components fail.

Important Topics for Fault Tolerance in System Design

  • What is Fault Tolerance?
  • Different situations where fault tolerance is crucial
  • Replication techniques in the context of fault tolerance
  • Fault Tolerance vs. High Availability Load Balancing
  • Fault Tolerance of a Stateless Component
  • Fault Tolerance of a Stateful Webstore

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What is Fault Tolerance?

Fault Tolerance refers to a system’s capacity to sustain its functionality in the presence of hardware or software failures. It involves implementing redundancy, error detection, and error recovery mechanisms to ensure that the system can continue to operate or degrade in a lesser rate in performance rather than experiencing a catastrophic failure. The goal is to minimize the impact of faults and provide a reliable and available service even in the face of disruptions....

Different situations where fault tolerance is crucial

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Fault Tolerance of a Stateless Component

Redundancy:Stateless nature allows for easy replication of components without concerns about data consistency. Load Balancing:Even distribution of requests among multiple instances prevents a single point of failure. Independence:Each instance operates independently, and a failure in one does not impact others. Automated Monitoring:Swift fault detection through automated systems triggers efficient failover mechanisms. Quick Recovery:Seamless takeover by other replicas ensures continuous availability in case of a failure....

Fault Tolerance of a Stateful Webstore

Redundancy in Data and Application Layers:Replication of both data and application components to ensure availability and resilience. Data Synchronization: Mechanisms for consistent synchronization of data to maintain integrity. Load Balancing Considerations:Judicious application of load balancing, considering the stateful nature of data to prevent inconsistencies. Transactional Integrity:Preservation of transactional integrity during failover strategies. Complexity:Complex compared to stateless components due to the challenges of managing fault tolerance without compromising data coherence....

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