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Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. [2] The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API.
Checkpointing is a technique that provides fault tolerance for computing systems. It involves saving a snapshot of an application's state, so that it can restart from that point in case of failure. This is particularly important for long-running applications that are executed in failure-prone computing systems.
There is a difference between fault tolerance and systems that rarely have problems. For instance, the Western Electric crossbar systems had failure rates of two hours per forty years, and therefore were highly fault resistant. But when a fault did occur they still stopped operating completely, and therefore were not fault tolerant.
Self-stabilization is a concept of fault-tolerance in distributed systems.Given any initial state, a self-stabilizing distributed system will end up in a correct state in a finite number of execution steps.
The need to control software fault is one of the most rising challenges facing software industries today. Fault tolerance must be a key consideration in the early stage of software development. There exist different mechanisms for software fault tolerance, among which: Recovery blocks; N-version software; Self-checking software
An error-tolerant design (or human-error-tolerant design [1]) is one that does not unduly penalize user or human errors. It is the human equivalent of fault tolerant design that allows equipment to continue functioning in the presence of hardware faults, such as a "limp-in" mode for an automobile electronics unit that would be employed if ...
The Circuit Breaker is a design pattern commonly used in software development to improve system resilience and fault tolerance. Circuit breaker pattern can prevent cascading failures particularly in distributed systems. [1]
The construction of a failure detector is an essential, but a very difficult problem that occurred in the development of the fault-tolerant component in a distributed computer system. As a result, the failure detector was invented because of the need for detecting errors in the massive information transaction in distributed computing systems.