High-Throughput and Predictable VM Scheduling for High-Density Workloads

Vanga, Manohar

doi:10.26204/KLUEDO/6551

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High-Throughput and Predictable VM Scheduling for High-Density Workloads

Vanga, M. (2020). High-Throughput and Predictable VM Scheduling for High-Density Workloads. PhD Thesis, Technische Universität Kaiserslautern, Kaiserslautern. doi:10.26204/KLUEDO/6551.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-847E-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-847F-4

Genre: Thesis

Latex : High-Throughput and Predictable {VM} Scheduling for High-Density Workloads

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https://kluedo.ub.uni-kl.de/frontdoor/index/index/start/0/rows/10/sortfield/score/sortorder/desc/searchtype/simple/query/Vanga/docId/6551 (Any fulltext) Open Access status unknown

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Creators:
Vanga, Manohar¹, Author
Brandenburg, Björn¹, Advisor
Francis, Paul², Referee
Parmer, Gabriel³, Referee

Affiliations:
1Group B. Brandenburg, Max Planck Institute for Software Systems, Max Planck Society, ou_2105285
2Group P. Francis, Max Planck Institute for Software Systems, Max Planck Society, ou_2105288
3External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2020-11-26Published Online: 2020Date issued: 2020

Publication Status: Issued

Pages: 219 p.

Publishing info: Kaiserslautern : Technische Universität Kaiserslautern

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: Vangaphd2020
URN: nbn:de:hbz:386-kluedo-65518
DOI: 10.26204/KLUEDO/6551

Degree: PhD

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