September 10, 2020 Conference paper Open Access

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

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  <identifier identifierType="DOI">10.5281/zenodo.4446533</identifier>
  <creators>
    <creator>
      <creatorName>Faticanti, Francescomaria</creatorName>
      <givenName>Francescomaria</givenName>
      <familyName>Faticanti</familyName>
      <affiliation>Fondazione Bruno Kessler</affiliation>
    </creator>
    <creator>
      <creatorName>Savi, Marco</creatorName>
      <givenName>Marco</givenName>
      <familyName>Savi</familyName>
      <affiliation>University of Milano-Bicocca</affiliation>
    </creator>
    <creator>
      <creatorName>De Pellegrini, Francesco</creatorName>
      <givenName>Francesco</givenName>
      <familyName>De Pellegrini</familyName>
      <affiliation>University of Avignon</affiliation>
    </creator>
    <creator>
      <creatorName>Kochovski, Petar</creatorName>
      <givenName>Petar</givenName>
      <familyName>Kochovski</familyName>
      <affiliation>University of Ljubljana</affiliation>
    </creator>
    <creator>
      <creatorName>Stankovski, Vlado</creatorName>
      <givenName>Vlado</givenName>
      <familyName>Stankovski</familyName>
      <affiliation>University of Ljubljana</affiliation>
    </creator>
    <creator>
      <creatorName>Siracusa, Domenico</creatorName>
      <givenName>Domenico</givenName>
      <familyName>Siracusa</familyName>
      <affiliation>Fondazione Bruno Kessler</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Deployment of Application Microservices in Multi-Domain Federated Fog Environments</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Fog Computing</subject>
    <subject>Microservices</subject>
    <subject>Federation</subject>
    <subject>Resources Allocation</subject>
    <subject>Virtual Network Embedding</subject>
    <subject>Locality Constraints</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-09-10</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4446533</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4446532</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this paper we consider the problem of initial resource selection for a single-domain fog provider lacking sufficient resources&lt;br&gt;
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&amp;rsquo; 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.&lt;br&gt;
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.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/815141/">815141</awardNumber>
      <awardTitle>Decentralised technologies for orchestrated cloud-to-edge intelligence</awardTitle>
    </fundingReference>
  </fundingReferences>
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