Optimized Deployment Plans for Platform As a Service Clouds

Benjamin Byholm, Ivan Porres Paltor

Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

1 Nedladdningar (Pure)

Sammanfattning

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.

OriginalspråkOdefinierat/okänt
Titel på gästpublikationUCC '17 Companion : Proceedings of the10th International Conference on Utility and Cloud Computing
RedaktörerGeoffrey Fox, Yong Chen
FörlagACM
Sidor41–46
ISBN (tryckt)978-1-4503-5195-9
DOI
StatusPublicerad - 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangIEEE/ACM International Conference on Utility and Cloud Computing (UCC) - 10th International Conference on Utility and Cloud Computing (UCC '17)
Varaktighet: 5 dec 20178 dec 2017

Konferens

KonferensIEEE/ACM International Conference on Utility and Cloud Computing (UCC)
Period05/12/1708/12/17

Nyckelord

  • cloud computing

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