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- W2006416222 abstract "Connectivity is a classic measure for fault tolerance of a network in the case of vertices failures. Extra connectivity and restricted connectivity are two important indicators of the robustness of a multi-processor system in presence of failing processors. An interconnection network's diagnosability is an important measure of its self-diagnostic capability. The conditional diagnosability is widely accepted as a new measure of diagnosability by assuming that any fault-set cannot contain all neighbors of any node in a multiprocessor system. In this paper, we analyze the combinatorial properties and fault tolerance ability for the Split-Star Network, denoted by $S_n^2$ , a well-known interconnection network proposed for multiprocessor systems, establish the $g$ -extra connectivity, where $1le gle 3$ . We also determine the $h$ -restricted connectivity ( $h=1,2$ ), and prove that the conditional diagnosability of $S_n^2$ $(nge 4)$ is $6n-16$ under the comparison model, which is about three times of the $S_n^2$ 's traditional diagnosability. As a product, the strong diagnosability of $S_n^2$ is also obtained." @default.
- W2006416222 created "2016-06-24" @default.
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- W2006416222 date "2016-02-01" @default.
- W2006416222 modified "2023-10-15" @default.
- W2006416222 title "The Extra, Restricted Connectivity and Conditional Diagnosability of Split-Star Networks" @default.
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- W2006416222 doi "https://doi.org/10.1109/tpds.2015.2400459" @default.
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