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Cloud Resource Allocation: Developing an efficient resource allocation model to optimize the performance of cloud computing systems, while minimizing costs and energy consumption

Mohsen Khezli

Cloud Resource Allocation: Developing an efficient resource allocation model to optimize the performance of cloud computing systems, while minimizing costs and energy consumption.

Rel. Ladislau Matekovits. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2023

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Abstract:

Cloud Resource Allocation: Developing an efficient resource allocation model to optimize the performance of cloud computing systems, while minimizing costs and energy consumption
Relators: Ladislau Matekovits
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 33
Subjects:
Corso di laurea: Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/29346
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