- Model question
Fault tolerance techniques
Short answer
Fault tolerance is the ability to continue providing correct service despite faults, achieved through redundancy and recovery. Techniques include failure detection, replication and voting, checkpointing and message logging, reliable communication, distributed commit, and Byzantine agreement. Redundancy may be information, time, or physical.
Define fault tolerance. Explain how fault tolerance is ensured in distributed system. What are the different fault tolerance techniques?
Fault tolerance is the ability of a system to continue to provide correct service even when faults occur: faults are detected, masked, or recovered from, so failures are not visible to the user.
How it is ensured: by redundancy, together with detecting faults and recovering from them. Redundancy comes in three kinds:
- Information redundancy: extra bits, e.g. parity bits, Hamming codes and checksums, to detect and correct errors.
- Time redundancy: an action is repeated if needed, e.g. retransmission and transaction retry; used for transient and intermittent faults.
- Physical redundancy: extra hardware or software copies, e.g. triple modular redundancy, replicated servers and process groups.
Techniques
- Failure detection: heartbeats, pinging and timeouts.
- Failure masking by redundancy: process groups with replication; voting (TMR).
- Recovery: backward recovery with checkpointing and message logging; forward recovery with error-correcting codes.
- Reliable communication: retransmission, sequence numbers, reliable multicast.
- Distributed commit: 2PC/3PC to keep all-or-nothing semantics in the presence of failures.
- Agreement protocols: Byzantine agreement for arbitrary failures.
- Avoiding faults: careful design, testing, using reliable components, and fault prevention.
✓ Answer checked by Claude Opus 5.5 (high effort)
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