Scheduling for TCP flows: Implementation and performance evaluation of the Two-Level-PS discipline

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dc.contributor.advisor Marin, Andrea it_IT
dc.contributor.author Zen, Carlo <1997> it_IT
dc.date.accessioned 2021-04-02 it_IT
dc.date.accessioned 2021-07-21T08:05:21Z
dc.date.issued 2021-04-27 it_IT
dc.identifier.uri http://hdl.handle.net/10579/19375
dc.description.abstract Many scientific researches deal with the benefits of size-based scheduling, showing that disciplines such as the Least Attained Service (LAS) or the multi-level processor sharing disciplines improve the performance of TCP flows by reducing the expected flow completition time with respect to the adopted Processor Sharing (PS) discipline. This thesis explains the 2 level-processor sharing queue (2LPS), provides a simple implementation in a Linux kernel and reports the results obtained by testing the discipline using real datasets. 2LPS is parameterized only with a threshold $a$ that depends on the jobs distribution, for this reason the explained implementation gathers information about the size of the jobs, computes the optimal threshold and updates its value in the kernel; this is done repeatedly after a sufficient amount of time. The capacity of update the threshold $a$ according to the jobs distribution which are actually transmitted, makes the 2LPS potentially useful for any data trasmission over TCP, and so a valid replacement for the widely adopted Processor Sharing (PS). it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Carlo Zen, 2021 it_IT
dc.title Scheduling for TCP flows: Implementation and performance evaluation of the Two-Level-PS discipline it_IT
dc.title.alternative Scheduling for TCP flows: Implementation and performance evaluation of the Two-Level-PS discipline it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2019-2020, sessione straordinaria LM it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 864429 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Carlo Zen (864429@stud.unive.it), 2021-04-02 it_IT
dc.provenance.plagiarycheck Andrea Marin (marin@unive.it), 2021-04-26 it_IT


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