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The actual saturating load on a streaming server depends on the detailed characteristics of the client requests: the content location (local disk or stream relay), the relative popularity, and the bit and packet rates [1]. Previous work in streaming-server models has used carefully selected, low-dimensional measurements, such as client jitter and rebuffering counts [2], or server memory usage [3]. In contrast, we collect 30 distinct low-level measures and 210 nonlinear derivative measures each second. This provides us with robustness against outliers, without reducing sensitivity or responsiveness to changes in load. Since the measurement dimensionality is so high, our approach requires the modeling and learning framework described in this paper.<\/jats:p>","DOI":"10.1145\/1101892.1101904","type":"journal-article","created":{"date-parts":[[2007,1,17]],"date-time":"2007-01-17T18:32:02Z","timestamp":1169058722000},"page":"33-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Predictive modeling of streaming servers"],"prefix":"10.1145","volume":"33","author":[{"given":"Michele","family":"Covell","sequence":"first","affiliation":[{"name":"Hewlett-Packard Laboratories, Palo Alto CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sumit","family":"Roy","sequence":"additional","affiliation":[{"name":"Hewlett-Packard Laboratories, Palo Alto CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beomjoo","family":"Seo","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2005,9]]},"reference":[{"key":"e_1_2_1_2_1","volume-title":"A new architecture for measuring and assessing streaming media quality,\" in Passive and Active Measurement Workshop, (La Jolla CA)","author":"Dalal A. C.","year":"2003","unstructured":"A. C. Dalal and E. Perry , \" A new architecture for measuring and assessing streaming media quality,\" in Passive and Active Measurement Workshop, (La Jolla CA) , 2003 . A. C. Dalal and E. Perry, \"A new architecture for measuring and assessing streaming media quality,\" in Passive and Active Measurement Workshop, (La Jolla CA), 2003."},{"key":"e_1_2_1_3_1","volume-title":"Mediaguard: a model-based framework for building qos-aware streaming media services,\" in SPIE Conference on Multi-Media Computing and Networking","author":"Cherkasova L.","year":"2005","unstructured":"L. Cherkasova , W. Tang , and A. Vahdat , \" Mediaguard: a model-based framework for building qos-aware streaming media services,\" in SPIE Conference on Multi-Media Computing and Networking , 2005 . L. Cherkasova, W. Tang, and A. Vahdat, \"Mediaguard: a model-based framework for building qos-aware streaming media services,\" in SPIE Conference on Multi-Media Computing and Networking, 2005."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479896298130"},{"key":"e_1_2_1_5_1","volume-title":"Windows Performance Monitoring and Data Reduction using WatchTower,\" in Proc. of the Workshop on Self-Healing, Adpative, and Self-Managed Systems, (June)","author":"Knop M.","year":"2002","unstructured":"M. Knop , J. Schopf , and P. Dinda , \" Windows Performance Monitoring and Data Reduction using WatchTower,\" in Proc. of the Workshop on Self-Healing, Adpative, and Self-Managed Systems, (June) , 2002 . M. Knop, J. Schopf, and P. Dinda, \"Windows Performance Monitoring and Data Reduction using WatchTower,\" in Proc. of the Workshop on Self-Healing, Adpative, and Self-Managed Systems, (June), 2002."},{"key":"e_1_2_1_6_1","author":"Feng Y.","year":"2004","unstructured":"Y. Feng , V. Zarzoso , and A. K. Nandi , \"Quality Monitoring of WDM Channels with Blind Signal Separation Methods,\" Journal of Opitcal Networking , 2004 . Y. Feng, V. Zarzoso, and A. K. Nandi, \"Quality Monitoring of WDM Channels with Blind Signal Separation Methods,\" Journal of Opitcal Networking, 2004.","journal-title":"\"Quality Monitoring of WDM Channels with Blind Signal Separation Methods,\" Journal of Opitcal Networking"},{"key":"e_1_2_1_7_1","unstructured":"RealNetworks Inc. \"Helix Universal Server.\" http:\/\/realnetworks.com\/products\/media_delivery.html.  RealNetworks Inc. \"Helix Universal Server.\" http:\/\/realnetworks.com\/products\/media_delivery.html."}],"container-title":["ACM SIGMETRICS Performance Evaluation Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1101892.1101904","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1101892.1101904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:08:01Z","timestamp":1750262881000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1101892.1101904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,9]]},"references-count":6,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2005,9]]}},"alternative-id":["10.1145\/1101892.1101904"],"URL":"https:\/\/doi.org\/10.1145\/1101892.1101904","relation":{},"ISSN":["0163-5999"],"issn-type":[{"type":"print","value":"0163-5999"}],"subject":[],"published":{"date-parts":[[2005,9]]},"assertion":[{"value":"2005-09-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}