Tenant-level network performance isolation in Flowtune

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-s...

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Bibliographic Details
Main Author: Chang, Brendan (Brendan S.)
Other Authors: Jonathan Perry and Hari Balakrishnan.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/112821
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Summary: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). === 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. === by Brendan Chang. === M. Eng.