{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/116124"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/116124","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Forecasting resource availability for supporting real-time container migration","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","abstract_has_math":false,"creators":["Suresh Babu, Vishakh"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Mohan, Sibin"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08","date_published":"2022-08","updated_at":"2026-07-22T22:24:55Z","subjects":["Real-time","Container","Migration","Forecasting"],"languages":["en","eng"],"rights":["Copyright 2022 Vishakh Suresh Babu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/116124","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mohan, Sibin"]},{"key":"dc:creator","label":"Author","values":["Suresh Babu, Vishakh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-08","2022-07-21"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Real-time","Container","Migration","Forecasting"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Vishakh Suresh Babu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/116124"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","The student, Vishakh Suresh Babu, accepted the attached license on 2022-07-20 at 15:45.","The student, Vishakh Suresh Babu, submitted this Thesis for approval on 2022-07-20 at 16:36.","This Thesis was approved for publication on 2022-07-21 at 10:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18393 on 2022-11-15 at 21:40:38","Hard real-time applications have stringent response time requirements and failure to meet the deadlines can have catastrophic consequences. With the success of the edge computing paradigm, more edge applications have real-time requirements. User mobility and multi-tenancy on the edge nodes create new challenges for these real-time applications running inside containers. These problems can be resolved by migrating the container along with all of the underlying files to a new node where the application can run safely. However, single-target migration is prone to failure due to network issues or system crashes at the target. It is also hard to guarantee that applications will meet their real-time requirements during (or even after) the migration process. To this end, we propose a framework for planning reliable real-time container migration. This framework monitors the container and nodes in the network and accurately predicts the future resource availability of the nodes. The forecasts are used to identify a subset of nodes that have sufficient resources to run the container. We migrate to multiple nodes in parallel to make it resilient to network issues and crashes."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Forecasting resource availability for supporting real-time container migration"]}]}],"canonical_facts":{"dc:contributor":["Mohan, Sibin"],"dc:creator":["Suresh Babu, Vishakh"],"dc:date":["2022-08","2022-07-21"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01","The student, Vishakh Suresh Babu, accepted the attached license on 2022-07-20 at 15:45.","The student, Vishakh Suresh Babu, submitted this Thesis for approval on 2022-07-20 at 16:36.","This Thesis was approved for publication on 2022-07-21 at 10:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18393 on 2022-11-15 at 21:40:38","Hard real-time applications have stringent response time requirements and failure to meet the deadlines can have catastrophic consequences. With the success of the edge computing paradigm, more edge applications have real-time requirements. User mobility and multi-tenancy on the edge nodes create new challenges for these real-time applications running inside containers. These problems can be resolved by migrating the container along with all of the underlying files to a new node where the application can run safely. However, single-target migration is prone to failure due to network issues or system crashes at the target. It is also hard to guarantee that applications will meet their real-time requirements during (or even after) the migration process. To this end, we propose a framework for planning reliable real-time container migration. This framework monitors the container and nodes in the network and accurately predicts the future resource availability of the nodes. The forecasts are used to identify a subset of nodes that have sufficient resources to run the container. We migrate to multiple nodes in parallel to make it resilient to network issues and crashes."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/116124"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Vishakh Suresh Babu"],"dc:subject":["Real-time","Container","Migration","Forecasting"],"dc:title":["Forecasting resource availability for supporting real-time container migration"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:55Z"}