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Open AccessProceedings ArticleDOI

Flexible MEC service consumption through edge host zoning in 5G networks

TLDR
In this paper, the authors investigate the general case of a multiaccess edge computing (MEC) application consuming a MEC service running on a different MEC host and define latency-aware proximity zones around MEC servers hosting MEC application instances.
Abstract
Multi-access Edge Computing (MEC) is commonly recognized as a key supporting technology for the emerging 5G systems. When deployed in fully virtualized networks, i.e., following the Network Function Virtualization (NFV) paradigm, it will enable a multitude of new applications and use cases. However, the growing number of devices, combined with the vastly increasing traffic demand, call for low End-to-End (E2E) latency packet transfer and processing in an NFV environment, both in user and control plane. In this paper, focusing on control plane packet traffic, we investigate the general case of a MEC application consuming a MEC service running on a different MEC host. To enable flexible MEC platform service consumption at different localities, based on a state-of-the-art statistical model of the total processing time, we define latency-aware proximity zones around MEC servers hosting MEC application instances. Exemplary scenarios exhibit the E2E performance benefit of introducing the awareness of proximity zones around MEC hosts and service producing MEC application instances. This performance-aware service consumption will be beneficial in view of the future evolution towards distributed computing systems.

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Citations
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Journal ArticleDOI

Toward Enabled Industrial Verticals in 5G: A Survey on MEC-Based Approaches to Provisioning and Flexibility

TL;DR: This survey overviews standards, with particular emphasis on 5G and virtualization of network functions, then it addresses flexibility of MEC smart resource deployment and its migration capabilities.
Journal ArticleDOI

Toward Distributed Computing Environments with Serverless Solutions in Edge Systems

TL;DR: This article proposes to overcome this issue by adapting the allocation of demands to the currently allocated micro-services at short timescales, with two alternative mechanisms designed for different target scenarios, both aimed at enabling distributed computing environments.
Journal ArticleDOI

A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles

TL;DR: In this article , the authors survey the literature for cloud computing use with smart connected vehicles and Intelligent Transportation Systems (ITS) and provide taxonomies for that plus their use cases, identifying where further research is needed in order to enable vehicles and ITS to use edge cloud computing in a fully managed and automated way.
Journal ArticleDOI

End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios

TL;DR: This paper evaluates different MEC deployment options, coherent with the respective 5G migration phases, using an accurate and comprehensive E2E system simulation model, taking into account user-related metrics, such as response time or MEC latency, and shows that 4G radio access is going to be a bottleneck, preventing MEC services from scaling up.
Journal ArticleDOI

Managing 5G network slicing and edge computing with the MATILDA telecom layer platform

TL;DR: Results show that the latency ascribable to the VNF processing is sufficiently low to satisfy the delay budget for all 5G use-cases up to 10 ms and that a QCI-based decision policy allows scaling with the traffic load, while still fulfilling the performance requirements of each application.
References
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Journal ArticleDOI

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

TL;DR: This paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties, and elaborates further on open research challenges.
Journal ArticleDOI

Throughput and Latency of Virtual Switching with Open vSwitch: A Quantitative Analysis

TL;DR: Extensive black-box tests are presented to quantify the throughput and latency of software switches with emphasis on the market leader, Open vSwitch.
Journal ArticleDOI

A discrete-time model for optimizing the processing time of virtualized network functions

TL;DR: An analytical model that allows the computation of relevant performance metrics like packet processing time and packet loss for generic virtualized network functions running on commodity hardware is presented and significantly improves the computational tractability of this discrete-time model.
Proceedings ArticleDOI

Performance Modeling of Softwarized Network Functions Using Discrete-Time Analysis

TL;DR: In this article, an analytical model that allows computing relevant performance metrics like the packet processing time and the packet loss for generic virtualized network functions running on commodity hardware is developed, and the applicability of the model is shown by comparing its outcome with measurements conducted in a local testbed featuring a VNF that acts as an LTE Serving Gateway.
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