JOURNAL ARTICLE

QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum

Abstract

Nowadays, modern service compositions are increasingly adopted in critical scenarios where advanced Quality of Services (QoS) such as low latency, security, and privacy are fundamental. The landing platforms for the deployment of such compositions are progressively becoming capable to offer capabil-ities that support such advanced QoS requests (e.g., low latency via 5G network slice) spanning the Edge-Cloud Continuum. Actual deployment solutions focus mainly on resource allocation (i.e., CPU, memory, and storage), falling short of addressing advanced QoS and unleashing the true potential of the Edge-Cloud Continuum. In this paper, we present an automatic QoS-aware deployment solution for composed services in the Edge-Cloud Continuum. It compares QoS requests on the service composition with the capabilities of a given continuum in order to find, generate and execute suitable deployment recipes. Our preliminary experimental evaluation demonstrates the feasibility of our solution in a realistic scenario.

Keywords:
Software deployment Cloud computing Quality of service Computer science Enhanced Data Rates for GSM Evolution Distributed computing Edge device Computer network Edge computing Latency (audio) Operating system Telecommunications

Metrics

7
Cited By
3.08
FWCI (Field Weighted Citation Impact)
23
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems

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