{"department":[{"_id":"63"}],"citation":{"mla":"Schomaker, Gunnar, et al. “Predictive Replication and Placement Strategies for Movie Documents in Heterogeneous Content Delivery Networks.” <i>5th International Conference on Networking (ICN).</i>, 2006.","short":"G. Schomaker, C. Loeser, M. Schubert, in: 5th International Conference on Networking (ICN)., 2006.","apa":"Schomaker, G., Loeser, C., &#38; Schubert, M. (2006). Predictive Replication and Placement Strategies for Movie Documents in heterogeneous Content Delivery Networks. In <i>5th International Conference on Networking (ICN).</i>","chicago":"Schomaker, Gunnar, Christoph Loeser, and Matthias Schubert. “Predictive Replication and Placement Strategies for Movie Documents in Heterogeneous Content Delivery Networks.” In <i>5th International Conference on Networking (ICN).</i>, 2006.","bibtex":"@inproceedings{Schomaker_Loeser_Schubert_2006, title={Predictive Replication and Placement Strategies for Movie Documents in heterogeneous Content Delivery Networks}, booktitle={5th International Conference on Networking (ICN).}, author={Schomaker, Gunnar and Loeser, Christoph and Schubert, Matthias}, year={2006} }","ieee":"G. Schomaker, C. Loeser, and M. Schubert, “Predictive Replication and Placement Strategies for Movie Documents in heterogeneous Content Delivery Networks,” in <i>5th International Conference on Networking (ICN).</i>, 2006.","ama":"Schomaker G, Loeser C, Schubert M. Predictive Replication and Placement Strategies for Movie Documents in heterogeneous Content Delivery Networks. In: <i>5th International Conference on Networking (ICN).</i> ; 2006."},"user_id":"15415","abstract":[{"lang":"eng","text":"In previous publications there have been several proposals<br>regarding replica generation and placement of movie content in<br>content-distribution-networks or P2P overlays. Within this paper<br>we extend approaches for heterogeneous placement scenarios<br>described in prior publications. Therefor we presume heterogeneous<br>server peers' bandwidth, HD capacity, and movie popularities.<br>Movie documents are replicated and placed onto server peers with<br>respect to the predicted popularity values. Thus each document<br>aims to gain fair networks resources according to its popularity.<br>We present simulation results of heuristics of different placement<br>strategies and compare them with a near optimal technique."}],"date_updated":"2022-01-06T06:54:13Z","author":[{"first_name":"Gunnar","full_name":"Schomaker, Gunnar","last_name":"Schomaker"},{"first_name":"Christoph","full_name":"Loeser, Christoph","last_name":"Loeser"},{"first_name":"Matthias","last_name":"Schubert","full_name":"Schubert, Matthias"}],"status":"public","language":[{"iso":"eng"}],"_id":"19854","year":"2006","type":"conference","publication":"5th International Conference on Networking (ICN).","date_created":"2020-10-02T11:57:06Z","title":"Predictive Replication and Placement Strategies for Movie Documents in heterogeneous Content Delivery Networks"}