{"month":"09","date_created":"2022-08-08T12:09:32Z","citation":{"short":"A. Goel, M.H. Henzinger, S. Plotkin, E. Tardos, Journal of Algorithms 48 (2003) 314–332.","ama":"Goel A, Henzinger MH, Plotkin S, Tardos E. Scheduling data transfers in a network and the set scheduling problem. Journal of Algorithms. 2003;48(2):314-332. doi:10.1016/s0196-6774(03)00054-3","mla":"Goel, Ashish, et al. “Scheduling Data Transfers in a Network and the Set Scheduling Problem.” Journal of Algorithms, vol. 48, no. 2, Elsevier, 2003, pp. 314–32, doi:10.1016/s0196-6774(03)00054-3.","ieee":"A. Goel, M. H. Henzinger, S. Plotkin, and E. Tardos, “Scheduling data transfers in a network and the set scheduling problem,” Journal of Algorithms, vol. 48, no. 2. Elsevier, pp. 314–332, 2003.","chicago":"Goel, Ashish, Monika H Henzinger, Serge Plotkin, and Eva Tardos. “Scheduling Data Transfers in a Network and the Set Scheduling Problem.” Journal of Algorithms. Elsevier, 2003. https://doi.org/10.1016/s0196-6774(03)00054-3.","ista":"Goel A, Henzinger MH, Plotkin S, Tardos E. 2003. Scheduling data transfers in a network and the set scheduling problem. Journal of Algorithms. 48(2), 314–332.","apa":"Goel, A., Henzinger, M. H., Plotkin, S., & Tardos, E. (2003). Scheduling data transfers in a network and the set scheduling problem. Journal of Algorithms. Elsevier. https://doi.org/10.1016/s0196-6774(03)00054-3"},"article_processing_charge":"No","date_published":"2003-09-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"01","article_type":"original","status":"public","year":"2003","publisher":"Elsevier","page":"314-332","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0196-6774"]},"intvolume":" 48","extern":"1","type":"journal_article","date_updated":"2022-09-12T09:45:06Z","volume":48,"oa_version":"None","abstract":[{"lang":"eng","text":"In this paper we consider the online ftp problem. The goal is to service a sequence of file transfer requests given bandwidth constraints of the underlying communication network. The main result of the paper is a technique that leads to algorithms that optimize several natural metrics, such as max-stretch, total flow time, max flow time, and total completion time. In particular, we show how to achieve optimum total flow time and optimum max-stretch if we increase the capacity of the underlying network by a logarithmic factor. We show that the resource augmentation is necessary by proving polynomial lower bounds on the max-stretch and total flow time for the case where online and offline algorithms are using same-capacity edges. Moreover, we also give polylogarithmic lower bounds on the resource augmentation factor necessary in order to keep the total flow time and max-stretch within a constant factor of optimum."}],"publication":"Journal of Algorithms","issue":"2","publication_status":"published","quality_controlled":"1","scopus_import":"1","title":"Scheduling data transfers in a network and the set scheduling problem","_id":"11764","doi":"10.1016/s0196-6774(03)00054-3","author":[{"last_name":"Goel","first_name":"Ashish","full_name":"Goel, Ashish"},{"first_name":"Monika H","full_name":"Henzinger, Monika H","orcid":"0000-0002-5008-6530","last_name":"Henzinger","id":"540c9bbd-f2de-11ec-812d-d04a5be85630"},{"last_name":"Plotkin","full_name":"Plotkin, Serge","first_name":"Serge"},{"first_name":"Eva","full_name":"Tardos, Eva","last_name":"Tardos"}]}