Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge

Roberto Morabito, Ivan Farris*, Antonio Iera, Tarik Taleb

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

55 Citations (Scopus)


The constant and fast increase in the number of heterogeneous Internet of Things (IoT) devices that populate everyday life environments brings new challenges to the full exploitation of the computation, memory, sensing, and actuation resources associated to them. In this context, device virtualization solutions and platforms may definitely play a key role in enabling the desired tradeoff between flexibility and performance. 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. Two different frameworks for container-based IoT service provisioning are compared, the one based on a direct interaction between two cooperating devices and the other based on the presence of a manager supervising the operations between cooperating devices forming a cluster. In the latter case, accounting for the growing impetus to move intelligence toward the edge of the network, management features are implemented at the network access point to provide short latency responses. We also introduce the outcomes of a thorough performance evaluation campaign conducted via a real IoT testbed. The measurements, performed by accounting for the constraints of typical IoT nodes, shed light on the actual feasibility of container-based IoT frameworks.

Original languageEnglish
Article number7945515
Pages (from-to)1019-1030
Number of pages12
JournalIEEE Internet of Things Journal
Issue number4
Publication statusPublished - 1 Aug 2017
MoE publication typeA1 Journal article-refereed


  • Container virtualization
  • Internet of Things (IoT)
  • multi-access edge computing
  • service orchestration

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