Optimized Deployment Plans for Platform As a Service Clouds

A4 Konferenspublikationer


Interna författare/redaktörer


Publikationens författare: Benjamin Byholm, Ivan Porres
Redaktörer: Geoffrey Fox, Yong Chen
Förlagsort: Texas
Publiceringsår: 2017
Förläggare: ACM
Moderpublikationens namn: UCC '17 Companion : Proceedings of the10th International Conference on Utility and Cloud Computing
Artikelns första sida, sidnummer: 41
Artikelns sista sida, sidnummer: 46
ISBN: 978-1-4503-5195-9


Abstrakt

We approximately solve the problem of computing deployment plans of multiple cloud services with soft real-time constraints. We recognize that this is a generalized bin packing problem with fragmentable items. We formalize the problem domain and develop an autonomous deployment planning system with soft real-time constraints. The system incorporates a genetic algorithm with quadratic worst-case time complexity for approximately solving the packing problem, providing a service deployment plan with an optimal number of servers and an approximately optimal number of service instances.


Nyckelord

cloud computing


Dokument


Senast uppdaterad 2020-19-02 vid 05:24