Evidence map›Paper›PMID 31426555›Full record

ArticleSensors (Basel, Switzerland)2019

Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture.

Panagiotis Trakadas, Nikolaos Nomikos, Emmanouel T Michailidis, Theodore Zahariadis, Federico M Facca, David Breitgand, Stamatia Rizou, Xavi Masip, Panagiotis Gkonis

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Panagiotis TrakadasGeneral Department, National and Kapodistrian University of Athens, Psahna 34400, Greece. ptrakadas@uoa.gr.ORCID 0000-0002-5146-5954
Nikolaos NomikosDepartment of Information and Communication Systems Engineering, University of the Aegean, Samos 83200, Greece.
Emmanouel T MichailidisDepartment of Electrical and Electronic Engineering, University of West Attica, Aigaleo 12244, Greece.
Theodore ZahariadisGeneral Department, National and Kapodistrian University of Athens, Psahna 34400, Greece.
Federico M FaccaMartel Lab, Martel GMBH, Lugano 6900, Switzerland.
David BreitgandIBM Israel, Science and Technology Ltd, Haifa 3498825, Israel.
Stamatia RizouSingular Logic S.A., Kifisia 14564, Greece.
Xavi MasipCRAAX, Universitat Politecnica de Catalunya, 08800 Vilanova i la Geltru, Spain.
Panagiotis GkonisGeneral Department, National and Kapodistrian University of Athens, Psahna 34400, Greece.
National and Kapodistrian University of Athens · GRIBM Research - Haifa · ILSingularLogic (Greece) · GRUniversitat Politècnica de Catalunya · ESUniversity of the Aegean · GRUniversity of West Attica · GR

Funding

Horizon 2020 ICT-762013
6 · The paper itself

Abstract

Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora of nodes and data. In this paper, an overview on the area of hybrid clouds considering relevant research areas is given, providing technologies and mechanisms for the formation of such MEC deployments, as well as emphasizing several key issues that should be tackled by novel approaches, especially under the 5G paradigm. Furthermore, a decentralized hybrid cloud MEC architecture, resulting in a Platform-as-a-Service (PaaS) is proposed and its main building blocks and layers are thoroughly described. Aiming to offer a broad perspective on the business potential of such a platform, the stakeholder ecosystem is also analyzed. Finally, two use cases in the context of smart cities and mobile health are presented, aimed at showing how the proposed PaaS enables the development of respective IoT applications.

Indexed as

cloud native solutionscloud-to-fog infrastructuredata pipelineshybrid cloudsIoT applicationsPaaS

Identifiers

PMID31426555
PMCPMC6721067
OpenAlexW2968908025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.