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Data-Aware Service Placement in the Cloud-IoT Continuum

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Service-Oriented Computing (SummerSOC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1603))

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Abstract

We present a declarative solution to determine, in a data-aware manner, application service placements and SDN data routings over Cloud-IoT infrastructures while meeting functional (software, hardware, IoT) and non-functional (security, latency, bandwidth) application requirements. The solution employs continuous reasoning to speed up the reconfiguration of application placements and routing decisions at runtime, when needed. An open-source Prolog prototype is presented and assessed over a scenario based on lifelike data.

This work has been partly supported by the EU Horizon 2020 Research and Innovation program, under project ACCORDION (G.A. 871793), and by project Energy-aware management of software applications in Cloud-IoT ecosystems (RIC2021PON_A18), funded with ESF REACT-EU resources by the Italian Ministry of University and Research through the PON Ricerca e Innovazione 2014–20.

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Notes

  1. 1.

    Due to space limitations, only the main predicates of DAPlacer are presented. The prototype is open-sourced at https://github.com/di-unipi-socc/daplacer.

  2. 2.

    Prolog is a declarative programming language based on first-order logic. Prolog programs consist of clauses of the form a :- b1, ..., bn. stating that a holds if b1 \(\wedge \ldots \wedge \) bn holds. Clauses with empty premise (n = 0) are called facts. Predicate definitions can also contain disjunctions (denoted by ;) and negations (denoted by \(\backslash \) +). Variables start with upper-case letters. Prolog programs can be queried, and the Prolog interpreter tries to answer each query by applying SLD resolution [20] and by returning a computed answer substitution instantiating the variables in the query. For instance, the query ?- nice(W). on the program

    figure c

    returns the computed answer substitution {barbara \(/\) W }, obtained by first rewriting the query by applying the first clause for honest/1 and failing, and then applying the second clause for honest/1 and then the clause defining gentle/1.

  3. 3.

    The full application declaration is available at https://github.com/di-unipi-socc/daplacer/blob/main/app.pl.

  4. 4.

    Code of findRoutes/7 predicate is not shown. It is available at https://github.com/di-unipi-socc/daplacer/blob/main/daplacer.pl.

  5. 5.

    Monitoring tools for Cloud-IoT infrastructure exists such as FogMon [10] or those surveyed in [35].

  6. 6.

    All experiments were run on a machine featuring macOS Monterey 12.3, and equipped with 16 GB of RAM and a 2,5 GHz Intel Core i7 quad-core processor. Experiments code is accessible at: https://github.com/di-unipi-socc/daplacer/tree/main/experiment.

  7. 7.

    Experimental results are aggregated over 10 repetitions of the described 600 epoch simulations.

  8. 8.

    For each selected node, its hardware availability is changed by considering its initially available RAM and HDD resources and picking a value in the range [1, 1.1 \(\times \) RAM] and [1, 1.2 \(\times \) HDD], respectively. Analogously, the bandwidth of selected links is picked anew in the range [1, 1.1 \(\times \) BW], where BW is the initial bandwidth featured by the link. Similarly, the latency of selected links is changed within [LAT/2, 1.5 \(\times \) LAT], where LAT is the initial link latency.

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Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    Jacopo Massa, Stefano Forti & Antonio Brogi

Authors
  1. Jacopo Massa
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  2. Stefano Forti
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  3. Antonio Brogi
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Correspondence to Jacopo Massa .

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Editors and Affiliations

  1. University of Stuttgart, Stuttgart, Germany

    Johanna Barzen

  2. University of Stuttgart, Stuttgart, Germany

    Frank Leymann

  3. TU Wien, Vienna, Austria

    Schahram Dustdar

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Massa, J., Forti, S., Brogi, A. (2022). Data-Aware Service Placement in the Cloud-IoT Continuum. In: Barzen, J., Leymann, F., Dustdar, S. (eds) Service-Oriented Computing. SummerSOC 2022. Communications in Computer and Information Science, vol 1603. Springer, Cham. https://doi.org/10.1007/978-3-031-18304-1_8

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  • DOI: https://doi.org/10.1007/978-3-031-18304-1_8

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