The Journal of Supercomputing
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One way to implement fault tolerant applications is storing its current state in stable memory and, when a failure occurs, restart the application from the last global consistent state. If the number of simultaneous failures is expected to be small a diskless check pointing approach can be used, where a failed process’s state can be determined only accessing non-faulty process’s memory. In the iterature diskless check pointing is usually based on synchronous protocols or properties of the application. In this paper we present a quasi-synchronous diskless check pointing algorithm, called RDT-Diskless, based on Rollback-Dependency Track ability. The proposed algorithm includes a garbage collection approach that limits the number of checkpoints that must be kept in memory. A framework, called Cheops, was developed and experimental results were obtained from a commercial cloud environment.