{"language":[{"iso":"eng"}],"department":[{"_id":"79"}],"file":[{"file_size":629234,"creator":"florida","file_id":"1285","file_name":"548-Bootstrapping.Skynet.Calibration.and.Autonomic.Self-Control.of.Structured.P2P.Networks_01.pdf","access_level":"closed","date_updated":"2018-03-15T10:30:09Z","relation":"main_file","date_created":"2018-03-15T10:30:09Z","content_type":"application/pdf","success":1}],"citation":{"bibtex":"@inproceedings{Graffi_Klerx_2013, title={Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks}, DOI={10.1109/P2P.2013.6688720}, booktitle={Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13)}, author={Graffi, Kalman and Klerx, Timo}, year={2013}, pages={1–5} }","chicago":"Graffi, Kalman, and Timo Klerx. “Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks.” In Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13), 1–5, 2013. https://doi.org/10.1109/P2P.2013.6688720.","ieee":"K. Graffi and T. Klerx, “Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks,” in Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13), 2013, pp. 1–5.","ama":"Graffi K, Klerx T. Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks. In: Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13). ; 2013:1-5. doi:10.1109/P2P.2013.6688720","mla":"Graffi, Kalman, and Timo Klerx. “Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks.” Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13), 2013, pp. 1–5, doi:10.1109/P2P.2013.6688720.","apa":"Graffi, K., & Klerx, T. (2013). Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks. In Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13) (pp. 1–5). https://doi.org/10.1109/P2P.2013.6688720","short":"K. Graffi, T. Klerx, in: Proceedings of the International Conference on Peer-to-Peer Computing (P2P’13), 2013, pp. 1–5."},"type":"conference","date_updated":"2022-01-06T07:01:56Z","title":"Bootstrapping Skynet: Calibration and Autonomic Self-Control of Structured Peer-to-Peer Networks","publication":"Proceedings of the International Conference on Peer-to-Peer Computing (P2P'13)","page":"1-5","_id":"548","doi":"10.1109/P2P.2013.6688720","project":[{"name":"SFB 901","_id":"1"},{"_id":"5","name":"SFB 901 - Subprojekt A1"},{"name":"SFB 901 - Project Area A","_id":"2"}],"abstract":[{"lang":"eng","text":"Peer-to-peer systems scale to millions of nodes and provide routing and storage functions with best effort quality. In order to provide a guaranteed quality of the overlay functions, even under strong dynamics in the network with regard to peer capacities, online participation and usage patterns, we propose to calibrate the peer-to-peer overlay and to autonomously learn which qualities can be reached. For that, we simulate the peer-to-peer overlay systematically under a wide range of parameter configurations and use neural networks to learn the effects of the configurations on the quality metrics. Thus, by choosing a specific quality setting by the overlay operator, the network can tune itself to the learned parameter configurations that lead to the desired quality. Evaluation shows that the presented self-calibration succeeds in learning the configuration-quality interdependencies and that peer-to-peer systems can learn and adapt their behavior according to desired quality goals."}],"file_date_updated":"2018-03-15T10:30:09Z","author":[{"full_name":"Graffi, Kalman","last_name":"Graffi","first_name":"Kalman"},{"first_name":"Timo","full_name":"Klerx, Timo","last_name":"Klerx"}],"date_created":"2017-10-17T12:42:39Z","user_id":"477","has_accepted_license":"1","ddc":["040"],"status":"public","year":"2013"}