Parallel construction of multiple independent spanning trees on highly scalable datacenter networks

Jinn-Shyong Yang, Xiao-Yan Li, Sheng-Lung Peng and Jou-Ming Chang

Applied Mathematics and Computation, 2022, vol. 413, issue C

Abstract: An emerging datacenter network (DCN) with high scalability called HSDC is a server-centric DCN that can help cloud computing in supporting many inherent cloud services. For example, a server-centric DCN can initiate routing for data transmission. This paper investigates the construction of independent spanning trees (ISTs for short), a set of the rooted spanning trees associated with the disjoint-path property, in HSDC. Regarding multiple spanning trees as routing protocol, ISTs have applications in data transmission, e.g., fault-tolerant broadcasting and secure message distribution. We first establish the vertex-symmetry of HSDC. Then, by the structure that n-dimensional HSDC is a compound graph of an n-dimensional hypercube Qn and n-clique Kn, we amend the algorithm constructing ISTs for Qn to obtain the algorithm required by HSDC. Unlike most algorithms of recursively constructing tree structures, our algorithm can find every node’s parent in each spanning tree directly via an easy computation relied upon only the node address and tree index. Consequently, we can implement the algorithm for constructing n ISTs in O(nN) time, where N=n2n is the number of vertices of n-dimensional HSDC; or parallelize the algorithm in O(n) time using N processors. Remarkably, the diameter of the constructed ISTs is about twice the diameter of Qn.

Keywords: Datacenter networks; Independent spanning trees; Parallel algorithms; Fault-tolerant broadcasting; Secure message distribution (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:413:y:2022:i:c:s0096300321007013

DOI: 10.1016/j.amc.2021.126617

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