{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101329"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101329","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"CATS: Cloud application-specific traffic scheduling and routing","abstract":"This thesis addresses the limitations and challenges faced by traditional networks via layering, with a focus on the cloud environment that a large fraction of applications and services are running on today. We separate the cloud networks into two categories: intra cloud networks and inter cloud networks. For intra cloud networks, we show a network resource management layer can achieve application-aware networking and improve end-to-end application performance. For inter cloud network, we show an overlay network built on top of the cloud platform can consistently improve the network performance of file transfer for a large fraction of users. Two middleware systems are presented in the thesis: Phurti and CRONets(Cloud-Routed Overlay Networks). Phurti improves MapReduce job completion time for 95% of the jobs and decreases average job completion time by 20%, while CRONets improves 78% of the default Internet paths with a median improvement factor of 3.27 and 1.67 times for more than 6,600 Internet paths examined.","abstract_html":"This thesis addresses the limitations and challenges faced by traditional networks via layering, with a focus on the cloud environment that a large fraction of applications and services are running on today. We separate the cloud networks into two categories: intra cloud networks and inter cloud networks. For intra cloud networks, we show a network resource management layer can achieve application-aware networking and improve end-to-end application performance. For inter cloud network, we show an overlay network built on top of the cloud platform can consistently improve the network performance of file transfer for a large fraction of users. Two middleware systems are presented in the thesis: Phurti and CRONets(Cloud-Routed Overlay Networks). Phurti improves MapReduce job completion time for 95% of the jobs and decreases average job completion time by 20%, while CRONets improves 78% of the default Internet paths with a median improvement factor of 3.27 and 1.67 times for more than 6,600 Internet paths examined.","abstract_has_math":false,"creators":["Cai, Chris"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Campbell, Roy","Gupta, Indranil","Nahrstedt, Klara","Le, Franck"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-04T20:47:18Z","date_published":"2018-09-04T20:47:18Z","updated_at":"2026-07-22T22:24:38Z","subjects":["MapReduce, Traffic Scheduling, Internet, WAN, Overlay Network"],"languages":["en"],"rights":["Copyright 2018 Chris Cai"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/101329","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Campbell, Roy","Gupta, Indranil","Nahrstedt, Klara","Le, Franck"]},{"key":"dc:creator","label":"Author","values":["Cai, Chris"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-09-04T20:47:18Z","2020-09-05T09:15:26Z","2018-04-17","2018-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["MapReduce, Traffic Scheduling, Internet, WAN, Overlay Network"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Chris Cai"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/101329"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis addresses the limitations and challenges faced by traditional networks via layering, with a focus on the cloud environment that a large fraction of applications and services are running on today. 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