Brief announcement: Network scaffolding for efficient stabilization of the chord overlay network
Annual ACM Symposium on Parallelism in Algorithms and Architectures, Page: 417-419
2021
- 1Citations
- 9Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
- Usage9
- Abstract Views9
Conference Paper Description
Overlay networks, where nodes communicate with neighbors over logical links consisting of zero or more physical links, have become an important part of modern networking. From data centers to IoT devices to Internet-based applications, overlay networks are used to organize a diverse set of processes for efficient operations like searching and routing. Many of these overlay networks operate in fragile environments where processes are susceptible to faults which may perturb the logical network topology. Self-stabilizing overlay networks have been proposed as one way to manage these faults, promising to build or restore a particular topology from any initial configuration or after the occurrence of any transient faults. Designing efficient self-stabilizing algorithms for many topologies, however, is not an easy task. For non-trivial topologies that have desirable properties like low diameter and robust routing in the face of node or link failures, self-stabilizing algorithms to date have had at least linear running time or space requirements. In this brief announcement, we sketch an algorithm for building a Chord network that has polylogarithmic time and space complexity.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85109469797&origin=inward; http://dx.doi.org/10.1145/3409964.3461827; https://dl.acm.org/doi/10.1145/3409964.3461827; https://scholarworks.uni.edu/facpub/49; https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=1050&context=facpub; https://dx.doi.org/10.1145/3409964.3461827
Association for Computing Machinery (ACM)
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