Teddybear: Enabling Efficient Seamless Container Migration in User-Owned Edge Platforms

Elgazar, Ali E.; Harras, Khaled A.

doi:10.1109/cloudcom.2019.00022

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…Their experimental results confirm that proactive migration can significantly minimize the service downtime in the case of layered services, by imposing a very limited overhead on the overall support infrastructure. Other studies [29][30][31] use Container for live migration in a mobile edge computing environment, which can reduce the service downtime to ensure the quality of services (QoS) for users. In terms of security concerns in edge computing, Maurantonio et al [32] discuss the security of Container in different application scenarios, e.g., Augmented Reality, Smart Home, Smart Cities, E-health, and smart factories.…”

Section: Container For Edge Computingmentioning

confidence: 99%

Evolving Container to Unikernel for Edge Computing and Applications in Process Industry

Chen

Zhou

2021

Processes

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Industry 4.0 promotes manufacturing and process industry towards digitalization and intellectualization. Edge computing can provide delay-sensitive services in industrial processes to realize intelligent production. Lightweight virtualization technology is one of the key elements of edge computing, which can implement resource management, orchestration, and isolation services without considering heterogenous hardware. It has revolutionized software development and deployment. The scope of this review paper is to present an in-depth analysis of two such technologies, Container and Unikernel, for edge computing. We discuss and compare their applicability in terms of migration, security, and orchestration for edge computing and industrial applications. We describe their performance indexes, evaluation methods and related findings. We then discuss their applications in industrial processes. To promote further research, we present some open issues and challenges to serve as a road map for both researchers and practitioners in the areas of Industry 4.0, industrial process automation, and advanced computing.

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