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Hypervisors vs. Lightweight Virtualization: A Performance Comparison
- R. Morabito, Jimmy Kjällman, Miika Komu
- Computer ScienceIEEE International Conference on Cloud…
- 9 March 2015
This paper presents a detailed performance comparison of traditional hypervisor based virtualization and new lightweight solutions, and shows that containers achieve generally better performance when compared with traditional virtual machines and other recent solutions.
Consolidate IoT Edge Computing with Lightweight Virtualization
- R. Morabito, Vittorio Cozzolino, A. Ding, N. Beijar, J. Ott
- Computer ScienceIEEE Network
- 26 January 2018
An in-depth analysis on the requirements of edge computing from the perspective of three selected use cases that are particularly interesting for harnessing the power of the Internet of Things and the applicability of two LV technologies, containers and unikernels, as platforms for enabling the scalability, security, and manageability required.
Virtualization on Internet of Things Edge Devices With Container Technologies: A Performance Evaluation
- R. Morabito
- Computer ScienceIEEE Access
- 17 May 2017
This paper seeks to provide insights for future deployments through a comprehensive performance evaluation that aims to show the strengths and weaknesses of several low-power devices when handling container-virtualized instances.
Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge
- R. Morabito, I. Farris, A. Iera, T. Taleb
- Computer ScienceIEEE Internet of Things Journal
- 1 August 2017
This paper focuses on lightweight virtualization technologies for IoT devices, suitably thought to effectively deploy new integrated applications and to create a novel distributed and virtualized ecosystem.
A performance evaluation of container technologies on Internet of Things devices
- R. Morabito
- Computer ScienceIEEE Conference on Computer Communications…
- 9 March 2016
It is shown that, overall, the overhead added by containers is negligible and this paper presents a performance evaluation of container technologies on constrained devices, in this case, on Raspberry Pi.
Power Consumption of Virtualization Technologies: An Empirical Investigation
- R. Morabito
- Computer ScienceIEEE/ACM 8th International Conference on Utility…
- 4 November 2015
The initial results show how, despite of the number of virtual entities running, both kinds of virtualization alternatives behave similarly in idle state and in CPU/Memory stress test, and the results on network performance show differences between the two technologies.
ELIoT: Design of an emulated IoT platform
- Alli Makinen, Jaime Jiménez, R. Morabito
- Computer ScienceIEEE 28th Annual International Symposium on…
- 1 October 2017
The design of an IoT emulation platform (ELIoT) is presented, which aim on making the deployment of IoT test environments easier and more flexible, and exploiting the lightweight and flexible characteristics of emerging virtualization technologies, such as Docker containers, for emulating both simple and complex IoT devices.
Enabling Data Processing at the Network Edge through Lightweight Virtualization Technologies
The design of a multifunctional IoT gateway that, making use of lightweight virtualization technologies such as Docker containers, allows managing different services, including data processing services, so as to enable the migration towards the edge based approach.
The design of the gateway for the Cloud of Things
- Riccardo Petrolo, R. Morabito, V. Loscrí, N. Mitton
- Computer ScienceAnn. des Télécommunications
- 10 June 2015
The proposed gateway is able to manage semantic-like things and at the same time to act as an end-point for the presentation of data to users and enables a lightweight and dense deployment of services.
A Framework based on SDN and Containers for Dynamic Service Chains on IoT Gateways
An extensive performance evaluation seeks to understand how the proposed framework performs in terms of computational overhead, network bandwidth, and energy consumption, and tries to shed light on the actual deployability of the framework on low-power nodes.