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Deployment of Application Microservices in Multi-Domain Federated Fog Environments

Authors: Francescomaria Faticanti; Marco Savi; Francesco De Pellegrini; Petar Kochovski; Vlado Stankovski; Domenico Siracusa;

Deployment of Application Microservices in Multi-Domain Federated Fog Environments

Abstract

In this paper we consider the problem of initial resource selection for a single-domain fog provider lacking sufficient resources for the complete deployment of a batch of IoT applications. To overcome resources shortage, it is possible to lease assets from other domains across a federation of cloud-fog infrastructures to meet the requirements of those applications: the fog provider seeks to minimise the number of external resources to be rented in order to successfully deploy the applications’ demands exceeding own infrastructure capacity. To this aim, we introduce a general framework for the deployment of applications across multiple domains of cloud-fog providers while guaranteeing resources locality constraints. The resource allocation problem is presented in the form of an integer linear program, and we provide a heuristic method that explores the resource assignment space in a breadth-first fashion. Extensive numerical results demonstrate the efficiency of the proposed approach in terms of deployment cost and feasibility with respect to standard approaches adopted in the literature.

Country
Italy
Subjects by Vocabulary

Microsoft Academic Graph classification: Linear programming Computer science Heuristic (computer science) Distributed computing Locality Microservices Resource (project management) Software deployment Resource allocation Integer (computer science)

Keywords

ING-INF/03 - TELECOMUNICAZIONI, Fog Computing, Resources Allocation, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, Virtual Network Embedding, Microservices, Fog Computing, Microservices, Federation, Resources Allocation, Virtual Network Embedding, Locality Constraints, Federation, Locality Constraints

  • BIP!
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    4
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    Top 10%
    influence
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    Average
    impulse
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    visibility views 43
    download downloads 86
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 43
    views
    86
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Average
43
86
Funded by
EC| DECENTER
Project
DECENTER
Decentralised technologies for orchestrated cloud-to-edge intelligence
  • Funder: European Commission (EC)
  • Project Code: 815141
  • Funding stream: H2020 | RIA
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