Special Issue "Performance Evaluation in the Era of Cloud and Edge Computing"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 30 September 2019.

Special Issue Editors

Guest Editor
Prof. Dr. Maria Carla Calzarossa

Dipartimento di Ingegneria Industriale & Informazione, Università di Pavia, Pavia, Italy
Website | E-Mail
Interests: performance evaluation; workload characterization; cloud computing; social networks
Guest Editor
Dr. Marco L. Della Vedova

Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore – Brescia, Brescia, Italy
Website | E-Mail
Interests: scheduling; machine learning; stochastic modeling; workload forecasting; cloud computing
Guest Editor
Prof. Dr. Luisa Massari

Dipartimento di Ingegneria Industriale & Informazione, Università di Pavia, Pavia, Italy
Website | E-Mail
Interests: performance evaluation; workload characterization; benchmarking; social networks; computer networks
Guest Editor
Prof. Dr. Daniele Tessera

Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore – Brescia, Brescia, Italy
Website | E-Mail
Interests: performance evaluation; workload characterization; benchmarking; cloud computing

Special Issue Information

Dear Colleagues,

Cloud and edge computing technologies are being used at present to deploy a large variety of sophisticated services and applications characterized by different service level requirements. To satisfy these requirements as well as user expectations, it is necessary to measure, assess, and predict the performance of these complex technological infrastructures and their workloads. The peculiarities of these technologies and variability of the workload intensity and characteristics open new performance challenges, for example, dealing with dynamic resource provisioning under uncertainty, workload forecasting, load distribution, and data-flow scheduling. Methodologies, techniques, and tools for performance evaluation have to cope with these challenges.

This Special Issue is soliciting contributions presenting state-of-the art, original solutions or case studies in the field of performance evaluation of cloud and edge computing infrastructures and services. Topics of interest include but are not limited to: 

  • Monitoring;
  • Benchmarking;
  • Workload characterization;
  • Modeling;
  • Simulation.

Prof. Dr. Maria Carla Calzarossa
Dr. Marco L. Della Vedova
Prof. Dr. Luisa Massari
Prof. Dr. Daniele Tessera
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cloud computing
  • Edge computing
  • Application and service QoS
  • Performance modeling
  • Performance prediction
  • Workload forecasting
  • Analytic models
  • Simulation tools
  • High Performance Computing

Published Papers

This special issue is now open for submission.
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