{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T16:50:04Z","timestamp":1779295804202,"version":"3.51.4"},"publisher-location":"New York, New York, USA","reference-count":20,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000774","name":"Defense Threat Reduction Agency","doi-asserted-by":"publisher","award":["HDTRA1-14-1-0040"],"award-info":[{"award-number":["HDTRA1-14-1-0040"]}],"id":[{"id":"10.13039\/100000774","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1411636, CNS-1618339, CNS-1617729"],"award-info":[{"award-number":["CNS-1411636, CNS-1618339, CNS-1617729"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3229543.3229555","type":"proceedings-article","created":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T19:07:07Z","timestamp":1533150427000},"page":"48-53","source":"Crossref","is-referenced-by-count":134,"title":["DeepCache"],"prefix":"10.1145","author":[{"given":"Arvind","family":"Narayanan","sequence":"first","affiliation":[{"name":"University of Minnesota, Minneapolis, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saurabh","family":"Verma","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eman","family":"Ramadan","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pariya","family":"Babaie","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Minnesota, Minneapolis, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3229543.3229555-1","unstructured":"2017. Cisco Visual Networking Index: Forecast and Methodology, 2016-2021. https:\/\/www.cisco.com\/c\/en\/us\/solutions\/service-provider\/visual-networking-index-vni\/index.html"},{"key":"key-10.1145\/3229543.3229555-2","unstructured":"Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv: 1409.0473 (2014)."},{"key":"key-10.1145\/3229543.3229555-3","doi-asserted-by":"crossref","unstructured":"Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, and Ramesh Sitaraman. 2017. Adaptive TTL-Based Caching for Content Delivery. SIGMETRICS Perform. Eval. Rev. 45, 1, 45--46. https:\/\/doi.org\/10.1145\/3143314.3078560","DOI":"10.1145\/3143314.3078560"},{"key":"key-10.1145\/3229543.3229555-4","doi-asserted-by":"crossref","unstructured":"H. Che, Z. Wang, and Y. Tung. 2001. Analysis and design of hierarchical Web caching systems. In Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), Vol. 3. 1416--1424 vol.3. https:\/\/doi.org\/10.1109\/INFCOM.2001.916637","DOI":"10.1109\/INFCOM.2001.916637"},{"key":"key-10.1145\/3229543.3229555-5","unstructured":"Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"key-10.1145\/3229543.3229555-6","doi-asserted-by":"crossref","unstructured":"Andr&#233;s Ferragut, Ismael Rodriguez, and Fernando Paganini. 2016. Optimizing TTL Caches Under Heavy-Tailed Demands. SIGMETRICS Perform. Eval. Rev. 44, 1, 101--112. https:\/\/doi.org\/10.1145\/2964791.2901459","DOI":"10.1145\/2964791.2901459"},{"key":"key-10.1145\/3229543.3229555-7","unstructured":"Alex Graves and Navdeep Jaitly. 2014. Towards End-to-end Speech Recognition with Recurrent Neural Networks. In Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (ICML'14). JMLR.org, II--1764--II--1772. http:\/\/dl.acm.org\/citation.cfm?id=3044805.3045089"},{"key":"key-10.1145\/3229543.3229555-8","unstructured":"Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra. 2015. DRAW: A recurrent neural network for image generation. arXiv preprint arXiv:1502.04623 (2015)."},{"key":"key-10.1145\/3229543.3229555-9","unstructured":"Milad Hashemi et al. 2018. Learning Memory Access Patterns. arXiv preprint arXiv: 1803.02329 (2018)."},{"key":"key-10.1145\/3229543.3229555-10","doi-asserted-by":"crossref","unstructured":"Sepp Hochreiter and J&#252;rgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"key-10.1145\/3229543.3229555-11","doi-asserted-by":"crossref","unstructured":"Van Jacobson, Diana K. Smetters, James D. Thornton, Michael F. Plass, Nicholas H. Briggs, and Rebecca L. Braynard. 2009. Networking Named Content. In Proceedings of the 5th International Conference on Emerging Networking Experiments and Technologies (CoNEXT '09). ACM, New York, NY, USA, 1--12. https:\/\/doi.org\/10.1145\/1658939.1658941","DOI":"10.1145\/1658939.1658941"},{"key":"key-10.1145\/3229543.3229555-12","doi-asserted-by":"crossref","unstructured":"Teemu Koponen, Mohit Chawla, Byung-Gon Chun, Andrey Ermolinskiy, Kye Hyun Kim, Scott Shenker, and Ion Stoica. 2007. A Data-oriented (and Beyond) Network Architecture. In Proceedings of the 2007 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM '07). ACM, New York, NY, USA, 181--192. https:\/\/doi.org\/10.1145\/1282380.1282402","DOI":"10.1145\/1282380.1282402"},{"key":"key-10.1145\/3229543.3229555-13","doi-asserted-by":"crossref","unstructured":"Hongzi Mao, Ravi Netravali, and Mohammad Alizadeh. 2017. Neural adaptive video streaming with pensieve. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication. ACM.","DOI":"10.1145\/3098822.3098843"},{"key":"key-10.1145\/3229543.3229555-14","doi-asserted-by":"crossref","unstructured":"V Martina, M. Garetto, and E. Leonardi. 2014. A unified approach to the performance analysis of caching systems. In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. 2040--2048. https:\/\/doi.org\/10.1109\/INFOCOM.2014.6848145","DOI":"10.1109\/INFOCOM.2014.6848145"},{"key":"key-10.1145\/3229543.3229555-15","unstructured":"Tom&#225;&#353; Mikolov, Martin Karafi&#225;t, Luk&#225;&#353; Burget, Jan &#268;ernocky, and Sanjeev Khudanpur. 2010. Recurrent neural network based language model. In Eleventh Annual Conference of the International Speech Communication Association."},{"key":"key-10.1145\/3229543.3229555-16","doi-asserted-by":"crossref","unstructured":"E. Ramadan, A. Narayanan, and Z. L. Zhang. 2015. CONIA: Content (provider)-oriented, namespace-independent architecture for multimedia information delivery. In 2015 IEEE International Conference on Multimedia Expo Workshops (ICMEW). 1--6. https:\/\/doi.org\/10.1109\/ICMEW.2015.7169811","DOI":"10.1109\/ICMEW.2015.7169811"},{"key":"key-10.1145\/3229543.3229555-17","doi-asserted-by":"crossref","unstructured":"A. Sadeghi, F. Sheikholeslami, and G. B. Giannakis. 2018. Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities. IEEE Journal of Selected Topics in Signal Processing 12, 1 (Feb 2018), 180--190. https:\/\/doi.org\/10.1109\/JSTSP.2017.2787979","DOI":"10.1109\/JSTSP.2017.2787979"},{"key":"key-10.1145\/3229543.3229555-18","doi-asserted-by":"crossref","unstructured":"Muhammad Zubair Shafiq, Alex X. Liu, and Amir R. Khakpour. 2014. Revisiting Caching in Content Delivery Networks. SIGMETRICS Perform. Eval. Rev. 42, 1, 567--568. https:\/\/doi.org\/10.1145\/2637364.2592021","DOI":"10.1145\/2637364.2592021"},{"key":"key-10.1145\/3229543.3229555-19","unstructured":"Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to Sequence Learning with Neural Networks (NIPS'14). MIT Press."},{"key":"key-10.1145\/3229543.3229555-20","doi-asserted-by":"crossref","unstructured":"Wenting Tang, Yun Fu, Ludmila Cherkasova, and Amin Vahdat. 2003. Medisyn: A synthetic streaming media service workload generator. In NOSSDAV. ACM.","DOI":"10.1145\/776322.776327"}],"event":{"name":"the 2018 Workshop","location":"Budapest, Hungary","acronym":"NetAI'18","sponsor":["SIGCOMM, ACM Special Interest Group on Data Communication"],"start":{"date-parts":[[2018,8,24]]},"end":{"date-parts":[[2018,8,24]]}},"container-title":["Proceedings of the 2018 Workshop on Network Meets AI &amp; ML  - NetAI'18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3229543.3229555","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3229555&ftid=1992151&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:43Z","timestamp":1750210783000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3229543.3229555"}},"subtitle":["A Deep Learning Based Framework For Content Caching"],"proceedings-subject":"Network Meets AI & ML","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1145\/3229543.3229555","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}