{"ddc":["040"],"doi":"10.1016/j.tcs.2014.11.027","file":[{"content_type":"application/pdf","access_level":"closed","relation":"main_file","date_updated":"2018-03-20T07:38:02Z","date_created":"2018-03-20T07:38:02Z","creator":"florida","file_size":398044,"success":1,"file_id":"1427","file_name":"327-KKS15-TOCS_01.pdf"}],"page":"67-79","has_accepted_license":"1","project":[{"_id":"1","name":"SFB 901"},{"_id":"5","name":"SFB 901 - Subprojekt A1"},{"_id":"2","name":"SFB 901 - Project Area A"}],"abstract":[{"text":"We consider the problem of resource discovery in distributed systems. In particular we give an algorithm, such that each node in a network discovers the address of any other node in the network. We model the knowledge of the nodes as a virtual overlay network given by a directed graph such that complete knowledge of all nodes corresponds to a complete graph in the overlay network. Although there are several solutions for resource discovery, our solution is the first that achieves worst-case optimal work for each node, i.e. the number of addresses (O(n)O(n)) or bits (O(nlog⁡n)O(nlog⁡n)) a node receives or sends coincides with the lower bound, while ensuring only a linear runtime (O(n)O(n)) on the number of rounds.","lang":"eng"}],"file_date_updated":"2018-03-20T07:38:02Z","date_created":"2017-10-17T12:41:55Z","type":"journal_article","date_updated":"2022-01-06T06:59:08Z","publication":"Theoretical Computer Science","status":"public","year":"2015","publisher":"Elsevier","author":[{"full_name":"Kniesburges, Sebastian","last_name":"Kniesburges","first_name":"Sebastian"},{"last_name":"Koutsopoulos","full_name":"Koutsopoulos, Andreas","first_name":"Andreas"},{"full_name":"Scheideler, Christian","id":"20792","last_name":"Scheideler","first_name":"Christian"}],"_id":"327","title":"A deterministic worst-case message complexity optimal solution for resource discovery","department":[{"_id":"79"}],"user_id":"477","citation":{"apa":"Kniesburges, S., Koutsopoulos, A., & Scheideler, C. (2015). A deterministic worst-case message complexity optimal solution for resource discovery. Theoretical Computer Science, 67–79. https://doi.org/10.1016/j.tcs.2014.11.027","short":"S. Kniesburges, A. Koutsopoulos, C. Scheideler, Theoretical Computer Science (2015) 67–79.","chicago":"Kniesburges, Sebastian, Andreas Koutsopoulos, and Christian Scheideler. “A Deterministic Worst-Case Message Complexity Optimal Solution for Resource Discovery.” Theoretical Computer Science, 2015, 67–79. https://doi.org/10.1016/j.tcs.2014.11.027.","ieee":"S. Kniesburges, A. Koutsopoulos, and C. Scheideler, “A deterministic worst-case message complexity optimal solution for resource discovery,” Theoretical Computer Science, pp. 67–79, 2015.","ama":"Kniesburges S, Koutsopoulos A, Scheideler C. A deterministic worst-case message complexity optimal solution for resource discovery. Theoretical Computer Science. 2015:67-79. doi:10.1016/j.tcs.2014.11.027","mla":"Kniesburges, Sebastian, et al. “A Deterministic Worst-Case Message Complexity Optimal Solution for Resource Discovery.” Theoretical Computer Science, Elsevier, 2015, pp. 67–79, doi:10.1016/j.tcs.2014.11.027.","bibtex":"@article{Kniesburges_Koutsopoulos_Scheideler_2015, title={A deterministic worst-case message complexity optimal solution for resource discovery}, DOI={10.1016/j.tcs.2014.11.027}, journal={Theoretical Computer Science}, publisher={Elsevier}, author={Kniesburges, Sebastian and Koutsopoulos, Andreas and Scheideler, Christian}, year={2015}, pages={67–79} }"}}