{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81979"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81979","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"\"\"\"Agilos\"\": A Middleware Control Architecture for Application -Aware Quality of Service Adaptations\"","abstract":"Third, in order to optimally design the reconfiguration rules in configurators so that the best possible application QoS is achieved, we designed mechanisms and protocols for the Quality of Service probing and profiling services, named QualProbes, for the discovery of relationships among QoS parameters and reconfiguration actions. Fourth, estimation errors and significant end-to-end delay may obstruct desired accurate adaptation measures. We devised an optimal state prediction approach to estimate current states based on available state observations. Finally, we present a gateway-centric approach that facilitates on-the-fly reconfiguration of client-server mappings. We have built a prototype of the Agilos architecture, and validated it with OmniTrack, a client-server based omni-directional visual tracking system. In this work, we show that the Agilos architecture effectively achieves the best possible performance with respect to the most critical QoS parameter, the tracking precision, while the adaptive actions are stable, flexible and configurable according to the needs of individual applications.","abstract_html":"Third, in order to optimally design the reconfiguration rules in configurators so that the best possible application QoS is achieved, we designed mechanisms and protocols for the Quality of Service probing and profiling services, named QualProbes, for the discovery of relationships among QoS parameters and reconfiguration actions. Fourth, estimation errors and significant end-to-end delay may obstruct desired accurate adaptation measures. We devised an optimal state prediction approach to estimate current states based on available state observations. Finally, we present a gateway-centric approach that facilitates on-the-fly reconfiguration of client-server mappings. We have built a prototype of the Agilos architecture, and validated it with OmniTrack, a client-server based omni-directional visual tracking system. In this work, we show that the Agilos architecture effectively achieves the best possible performance with respect to the most critical QoS parameter, the tracking precision, while the adaptive actions are stable, flexible and configurable according to the needs of individual applications.","abstract_has_math":false,"creators":["Li, Baochun"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Nahrstedt, Klara"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:21:17Z","date_published":"2015-09-25T20:21:17Z","updated_at":"2026-07-22T22:26:17Z","subjects":["Computer Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9971118"],"render_values":[{"text":"(MiAaPQ)AAI9971118","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81979","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nahrstedt, Klara"]},{"key":"dc:creator","label":"Author","values":["Li, Baochun"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:21:17Z","10000-01-01","2000"]},{"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":["Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/81979","(MiAaPQ)AAI9971118"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Third, in order to optimally design the reconfiguration rules in configurators so that the best possible application QoS is achieved, we designed mechanisms and protocols for the Quality of Service probing and profiling services, named QualProbes, for the discovery of relationships among QoS parameters and reconfiguration actions. Fourth, estimation errors and significant end-to-end delay may obstruct desired accurate adaptation measures. We devised an optimal state prediction approach to estimate current states based on available state observations. Finally, we present a gateway-centric approach that facilitates on-the-fly reconfiguration of client-server mappings. We have built a prototype of the Agilos architecture, and validated it with OmniTrack, a client-server based omni-directional visual tracking system. In this work, we show that the Agilos architecture effectively achieves the best possible performance with respect to the most critical QoS parameter, the tracking precision, while the adaptive actions are stable, flexible and configurable according to the needs of individual applications.","Made available in DSpace on 2015-09-25T20:21:17Z (GMT). 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Fourth, estimation errors and significant end-to-end delay may obstruct desired accurate adaptation measures. We devised an optimal state prediction approach to estimate current states based on available state observations. Finally, we present a gateway-centric approach that facilitates on-the-fly reconfiguration of client-server mappings. We have built a prototype of the Agilos architecture, and validated it with OmniTrack, a client-server based omni-directional visual tracking system. In this work, we show that the Agilos architecture effectively achieves the best possible performance with respect to the most critical QoS parameter, the tracking precision, while the adaptive actions are stable, flexible and configurable according to the needs of individual applications.","Made available in DSpace on 2015-09-25T20:21:17Z (GMT). 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