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In this paper, we propose a novel file consistency maintenance algorithm, called Update Propagation Through Replica Chain (UPTReC), for decentralized and unstructured peer-to-peer (P2P) systems.
In this scheme, the network architecture based on location information is presented, and based on this architecture the address initialization algorithm and address maintenance algorithm are proposed.
In addition, an adaptive local maintenance algorithm is designed for the broken clusters in the WSNs using the spatial temporal demand changes accordingly.
Seizing the chance offered by an EU-funded project exploring improvements in lifecycle management from smart embedded systems usage, a predictive maintenance algorithm has been designed having the goal to apply predictive maintenance procedures on a real automotive scenario.
The address maintenance algorithm is performed after the initialization algorithm is complete, and it is composed of the maintenance address configuration sub-algorithm (MAC) and the maintenance location PDAD sub-algorithm (MLPDAD).
The analysis and comparison of the three ATMS research areas in the classification framework suggest that the causal strength of control strategy research is greater than that of reason maintenance algorithm research.
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ECA is based on previous incremental view maintenance algorithms, but extra "compensating" queries are used to eliminate anomalies.
Two classes of consistency maintenance algorithms can be identified: conservative consistency and optimistic consistency.
Overlay maintenance algorithms have to be devised to include efficient features that are able to handle peer churn.
We develop incremental maintenance algorithms for these views, and discuss how to realize these algorithms when only a data warehouse (and not the data sources) knows the view definition.
This would not only be a simpler algorithm to apply than the maintenance algorithms that were implemented, but it would also completely remove redundancy in the future.
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