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PrEstoCloud
- Source :
- Information Resources Management Journal. 34:66-85
- Publication Year :
- 2021
- Publisher :
- IGI Global, 2021.
-
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.
- Subjects :
- Edge function
Service (systems architecture)
Computer science
business.industry
Strategy and Management
Distributed computing
Response time
Cloud computing
Library and Information Sciences
Resource (project management)
Software deployment
Factor (programming language)
Enhanced Data Rates for GSM Evolution
Business and International Management
business
computer
computer.programming_language
Subjects
Details
- ISSN :
- 15337979 and 10401628
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Information Resources Management Journal
- Accession number :
- edsair.doi...........cc850db86a99ecd125fc3759c70826bf
- Full Text :
- https://doi.org/10.4018/irmj.2021010104