PrEstoCloud: A Novel Framework for Data-Intensive Multi-Cloud, Fog, and Edge Function-as-a-Service Applications

Yiannis Verginadis, Dimitris Apostolou, Salman Taherizadeh, Ioannis Ledakis, Gregoris Mentzas, Andreas Tsagkaropoulos, Nikos Papageorgiou and Fotis Paraskevopoulos
Additional contact information
Yiannis Verginadis: Athens University of Economics and Business, Greece
Dimitris Apostolou: University of Piraeus, Greece
Salman Taherizadeh: Joseph Stefan Institute, Slovenia
Ioannis Ledakis: Ubitech, Greece
Gregoris Mentzas: National Technical University of Athens, Greece
Andreas Tsagkaropoulos: National Technical University of Athens, Greece
Nikos Papageorgiou: National Technical University of Athens, Greece
Fotis Paraskevopoulos: National Technical University of Athens, Greece

Information Resources Management Journal (IRMJ), 2021, vol. 34, issue 1, 66-85

Abstract: Fog computing extends multi-cloud computing by enabling services or application functions to be hosted close to their data sources. To take advantage of the capabilities of fog computing, serverless and the function-as-a-service (FaaS) software engineering paradigms allow for the flexible deployment of applications on multi-cloud, fog, and edge resources. This article reviews prominent fog computing frameworks and discusses some of the challenges and requirements of FaaS-enabled applications. Moreover, it proposes a novel framework able to dynamically manage multi-cloud, fog, and edge resources and to deploy data-intensive applications developed using the FaaS paradigm. The proposed framework leverages the FaaS paradigm in a way that improves the average service response time of data-intensive applications by a factor of three regardless of the underlying multi-cloud, fog, and edge resource infrastructure.

Date: 2021
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/IRMJ.2021010104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:rmj000:v:34:y:2021:i:1:p:66-85

Access Statistics for this article

Information Resources Management Journal (IRMJ) is currently edited by George Kelley

More articles in Information Resources Management Journal (IRMJ) from IGI Global
Bibliographic data for series maintained by Journal Editor ().