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 Sn2, a well-known interconnection network proposed for multiprocessor systems, establish the g -extra connectivity, where 1\le g\le 3. We also determine the h-restricted connectivity (h=1,2), and prove that the conditional diagnosability of Sn2 (n\ge 4) is 6n-16 under the comparison model, which is about three times of the Sn2 's traditional diagnosability. As a product, the strong diagnosability of Sn2 is also obtained.
|Number of pages||13|
|Journal||IEEE Transactions on Parallel and Distributed Systems|
|Publication status||Published - 2016 Feb 1|
All Science Journal Classification (ASJC) codes
- Signal Processing
- Hardware and Architecture
- Computational Theory and Mathematics