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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Fault Tolerant Record Placement for Decentralized SDDS LH*
verfasst von : Grzegorz Łukawski, Krzysztof Sapiecha
Erschienen in: Parallel Processing and Applied Mathematics
Verlag: Springer Berlin Heidelberg
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Scalable Distributed Data Structures (SDDS) is a file of records distributed to servers of a multicomputer. Faults of record placement in SDDS file may lead the file to crash. In this paper a fault model for decentralized SDDS LH* (DSDDS LH*) is given and, for such a model, a fault tolerant record placement architecture is presented. Client message forwarding is supplemented with client message backwarding. Split token (used in DSDDS LH* for controlling the file scalability) is supplemented with token tracing protocol and so called token level. These additional mechanisms allow for regeneration of DSDDS LH* file damaged by transient control faults.