{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:38:09Z","timestamp":1723016289559},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Efficient and truthful mechanisms to price time on remote servers\/machines have been the subject of much work in recent years due to the importance of the cloud market. This paper considers online revenue maximization for a unit capacity server, when jobs are non preemptive, in the Bayesian setting: at each time step, one job arrives, with parameters drawn from an underlying distribution.\n\nWe design an efficiently computable truthful posted price mechanism, which maximizes revenue in expectation and in retrospect, up to additive error.  The prices are posted prior to learning the agent's type, and the computed pricing scheme is deterministic.\n\nWe also show the pricing mechanism is robust to learning the job distribution from samples, where polynomially many samples suffice to obtain near optimal prices.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/568","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T12:12:10Z","timestamp":1594210330000},"page":"4106-4112","source":"Crossref","is-referenced-by-count":2,"title":["Online Revenue Maximization for Server Pricing"],"prefix":"10.24963","author":[{"given":"Shant","family":"Boodaghians","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana IL 61801, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Fusco","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, 00185 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Leonardi","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, 00185 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yishay","family":"Mansour","sequence":"additional","affiliation":[{"name":"Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruta","family":"Mehta","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana IL 61801, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-PRICAI-2020","name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","start":{"date-parts":[[2020,7,11]]},"theme":"Artificial Intelligence","location":"Yokohama, Japan","end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:16:01Z","timestamp":1594260961000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/568"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/568","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}