Exploring the Provision of Reliable Network Storage in Highly Mobile Environments

Ezenwigbo, Onyekachukwu Augustine; Ramirez, Jose; Karthick, G. S.; Mapp, Glenford; Trestian, Ramona

doi:10.1109/comm48946.2020.9142033

Cited by 3 publications

(1 citation statement)

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“…Experimental results show that the average migration time with Unikernel is less than one with Docker, and Unikernel can support new applications and services in highly mobile environment. To provide reliable network storage in highly mobile environments, Ezenwigbo et al [59] explore how services can be migrated as users travel around. They use migration techniques, e.g., Docker and Unikernl, to implement the migration of a simple Network Memory Server.…”

Section: Unikernel 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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Section: Unikernel For Edge Computingmentioning

confidence: 99%