{"publisher":"USENIX","oa_version":"Submitted Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"1 - 6","pubrep_id":"90","file":[{"access_level":"open_access","creator":"system","checksum":"21a461ac004bb535c83320fe79b30375","content_type":"application/pdf","relation":"main_file","date_updated":"2020-07-14T12:46:06Z","file_id":"5333","file_name":"IST-2012-90-v1+1_Static_scheduling_in_clouds.pdf","date_created":"2018-12-12T10:18:14Z","file_size":232770}],"conference":{"start_date":"2011-06-14","end_date":"2011-06-15","name":"HotCloud: Workshop on Hot Topics in Cloud Computing"},"oa":1,"publist_id":"3338","citation":{"mla":"Henzinger, Thomas A., et al. <i>Static Scheduling in Clouds</i>. USENIX, 2011, pp. 1–6.","ieee":"T. A. Henzinger, A. Singh, V. Singh, T. Wies, and D. Zufferey, “Static scheduling in clouds,” presented at the HotCloud: Workshop on Hot Topics in Cloud Computing, 2011, pp. 1–6.","apa":"Henzinger, T. A., Singh, A., Singh, V., Wies, T., &#38; Zufferey, D. (2011). Static scheduling in clouds (pp. 1–6). Presented at the HotCloud: Workshop on Hot Topics in Cloud Computing, USENIX.","chicago":"Henzinger, Thomas A, Anmol Singh, Vasu Singh, Thomas Wies, and Damien Zufferey. “Static Scheduling in Clouds,” 1–6. USENIX, 2011.","short":"T.A. Henzinger, A. Singh, V. Singh, T. Wies, D. Zufferey, in:, USENIX, 2011, pp. 1–6.","ista":"Henzinger TA, Singh A, Singh V, Wies T, Zufferey D. 2011. Static scheduling in clouds. HotCloud: Workshop on Hot Topics in Cloud Computing, 1–6.","ama":"Henzinger TA, Singh A, Singh V, Wies T, Zufferey D. Static scheduling in clouds. In: USENIX; 2011:1-6."},"date_updated":"2024-10-09T20:54:34Z","abstract":[{"lang":"eng","text":"Cloud computing aims to give users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. We present a new job execution environment Flextic that exploits scal- able static scheduling techniques to provide the user with a flexible pricing model, such as a tradeoff between dif- ferent degrees of execution speed and execution price, and at the same time, reduce scheduling overhead for the cloud provider. We have evaluated a prototype of Flextic on Amazon EC2 and compared it against Hadoop. For various data parallel jobs from machine learning, im- age processing, and gene sequencing that we considered, Flextic has low scheduling overhead and reduces job du- ration by up to 15% compared to Hadoop, a dynamic cloud scheduler."}],"date_created":"2018-12-11T12:02:33Z","year":"2011","corr_author":"1","title":"Static scheduling in clouds","type":"conference","publication_status":"published","quality_controlled":"1","has_accepted_license":"1","_id":"3302","file_date_updated":"2020-07-14T12:46:06Z","day":"14","ddc":["000","005"],"language":[{"iso":"eng"}],"department":[{"_id":"ToHe"}],"month":"06","status":"public","author":[{"last_name":"Henzinger","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A","orcid":"0000−0002−2985−7724"},{"id":"72A86902-E99F-11E9-9F62-915534D1B916","full_name":"Singh, Anmol","first_name":"Anmol","last_name":"Singh"},{"last_name":"Singh","full_name":"Singh, Vasu","id":"4DAE2708-F248-11E8-B48F-1D18A9856A87","first_name":"Vasu"},{"last_name":"Wies","id":"447BFB88-F248-11E8-B48F-1D18A9856A87","full_name":"Wies, Thomas","first_name":"Thomas"},{"last_name":"Zufferey","full_name":"Zufferey, Damien","id":"4397AC76-F248-11E8-B48F-1D18A9856A87","first_name":"Damien","orcid":"0000-0002-3197-8736"}],"date_published":"2011-06-14T00:00:00Z"}