{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/112821"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/112821","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Tenant-level network performance isolation in Flowtune","abstract":"Performance isolation is a major concern for multi-tenant datacenters. Many service level agreements include a specification on the allotment of resources. For tenants, these resource guarantees are critical to the availability and efficiency of their services. While CPU, disk, and memory isolation are well-understood, network performance isolation is less straightforward. In this thesis, I investigate methods for enforcing bandwidth fairness guarantees for logical networks in a datacenter and implement network performance isolation in Flowtune. Flowtune is a datacenter network architecture which introduces a centralized arbiter to enforce congestion control at the flowlet level. Flowtune achieves rapid convergence to a desired allocation of network resources in addition to reducing tail latencies in various settings. However, Flowtune currently does not provide tenant-level network performance isolation.","abstract_html":"Performance isolation is a major concern for multi-tenant datacenters. Many service level agreements include a specification on the allotment of resources. For tenants, these resource guarantees are critical to the availability and efficiency of their services. While CPU, disk, and memory isolation are well-understood, network performance isolation is less straightforward. In this thesis, I investigate methods for enforcing bandwidth fairness guarantees for logical networks in a datacenter and implement network performance isolation in Flowtune. Flowtune is a datacenter network architecture which introduces a centralized arbiter to enforce congestion control at the flowlet level. Flowtune achieves rapid convergence to a desired allocation of network resources in addition to reducing tail latencies in various settings. However, Flowtune currently does not provide tenant-level network performance isolation.","abstract_has_math":false,"creators":["Chang, Brendan (Brendan S.)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Jonathan Perry and Hari Balakrishnan."],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-22T22:20:44Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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The certified thesis is available in the Institute Archives and Special Collections.","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 45-46)."]},{"key":"dc:description.abstract","label":"Abstract","values":["Performance isolation is a major concern for multi-tenant datacenters. Many service level agreements include a specification on the allotment of resources. For tenants, these resource guarantees are critical to the availability and efficiency of their services. While CPU, disk, and memory isolation are well-understood, network performance isolation is less straightforward. In this thesis, I investigate methods for enforcing bandwidth fairness guarantees for logical networks in a datacenter and implement network performance isolation in Flowtune. Flowtune is a datacenter network architecture which introduces a centralized arbiter to enforce congestion control at the flowlet level. Flowtune achieves rapid convergence to a desired allocation of network resources in addition to reducing tail latencies in various settings. However, Flowtune currently does not provide tenant-level network performance isolation."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Tenant-level network performance isolation in Flowtune"]}]}],"canonical_facts":{"dc:contributor.advisor":["Jonathan Perry and Hari Balakrishnan."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Chang, Brendan (Brendan S.)"],"dc:date.accessioned":["2017-12-20T17:24:03Z"],"dc:date.available":["2017-12-20T17:24:03Z"],"dc:date.issued":["2016"],"dc:description":["Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.","This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 45-46)."],"dc:description.abstract":["Performance isolation is a major concern for multi-tenant datacenters. Many service level agreements include a specification on the allotment of resources. For tenants, these resource guarantees are critical to the availability and efficiency of their services. While CPU, disk, and memory isolation are well-understood, network performance isolation is less straightforward. In this thesis, I investigate methods for enforcing bandwidth fairness guarantees for logical networks in a datacenter and implement network performance isolation in Flowtune. Flowtune is a datacenter network architecture which introduces a centralized arbiter to enforce congestion control at the flowlet level. Flowtune achieves rapid convergence to a desired allocation of network resources in addition to reducing tail latencies in various settings. However, Flowtune currently does not provide tenant-level network performance isolation."],"dc:description.degree":["M. Eng."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/112821"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. 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