LEGIoT: A Lightweight Edge Gateway for the Internet of Things

Abstract

The stringent latency together with the higher bandwidth requirements of current Internet of Things (IoT) applications, are leading to the definition of new network-infrastructures, such as Multi-access Edge Computing (MEC). This emerging paradigm encompasses the execution of many network tasks at the edge and in particular on constrained gateways that have also to deal with the plethora of disparate technologies available in the IoT landscape. To cope with these issues, we introduce a Lightweight Edge Gateway for the Internet of Things (LEGIoT) architecture. It relies on the modular characteristic of microservices and the flexibility of lightweight virtualization technologies to guarantee an extensible and flexible solution. In particular, by combining the implementation of specific frameworks and the benefits of container-based virtualization, our proposal enhances the suitability of edge gateways towards a wide variety of IoT protocols/applications (for both downlink and uplink) enabling an optimized resource management and taking into account requirements such as energy efficiency, multi-tenancy, and interoperability. LEGIoT is designed to be hardware agnostic and its implementation has been tested within a real sensor network. Achieved results demonstrate its scalability and suitability to host different applications meant to provide a wide range of IoT services.

On Energy Efficiency and Performance Evaluation of Single Board Computer Based Clusters: A Hadoop Case Study

“…The proposed clusters would be used in the context of smart city applications. In 2018, researchers [21] introduced a Lightweight Edge Gateway for the Internet of Things (LEGIoT) architecture. It leverages the container based virtualization using SBC devices to support various Internet of Things (IoT) application protocols.…”

“…All of these works demonstrate constructing a cluster using SBCs at an affordable cost to researchers and students. More recently, authors in [20][21][22][23][24][25] have used SBC devices or clusters in Edge computing scenarios. However, none of these works provide a detailed performance and power efficiency of executing hadoop operations in such clusters.…”

SDN/NFV security framework for fog‐to‐things computing infrastructure

“…Although there is some concrete progress in the NFV technologies, predominant focus has been on management and orchestration aspects. A comprehensive review of major security challenges for IoT, fog computing architecture and corresponding solutions in the IoT layered architecture is presented by Khan and Salah and Zhang et al Morabito et al proposed a lightweight gateway mechanism called “LegoIT” at the Edge/IoT networks and demonstrated security applications. Rapuzzi and Repetto articulated methods to build defense mechanisms with “situational awareness” for fog computing infrastructures.…”

“…Although there is some concrete progress in the NFV technologies, predominant focus has been on management and orchestration aspects. A comprehensive review of major security challenges for IoT, fog computing architecture and corresponding solutions in the IoT layered architecture is presented by Khan and Salah 23 and Zhang et al 24 Morabito et al 25 Chakrabarty et al 30 proposed "BlackSDN -a secure SDN IoT network architecture" as a solution to protect IoT, and they used "SDN-controller as root-of-trust" to run the encrypted communication between multiple parties. Basile et al 31 aimed to exemplify the "network-function-on-demand as a service" model of the NFV paradigm.…”

“…We simulated a large network topology similar to SDDC Fat Tree typical topology in an SDN-enabled Cloud computing datacenter (see Figure 25). This hierarchical network consists of 25 Table 1 presents the evaluation strategy we followed to test various design aspects and efficacy of the implemented mechanisms under microbenchmarks and real-life attack simulation scenarios:…”