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See detailA Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study
Rac, Samuel UL; Sanyal, Rajarshi; Brorsson, Mats Hakan UL

in Transactions on Computational Science and Computational Intelligence (2022)

There is an increasing interest in extending traditional cloud-native technologies, such as Kubernetes, outside the data center to build a continuum towards the edge and between. However, traditional ... [more ▼]

There is an increasing interest in extending traditional cloud-native technologies, such as Kubernetes, outside the data center to build a continuum towards the edge and between. However, traditional resource orchestration algorithms do not work well in this case, and it is also difficult to test applications for a heterogeneous cloud infrastructure without actually building it. To address these challenges, we propose a new methodology to aid in deploying, testing, and analyzing the effects of microservice placement and scheduling in a heterogeneous Cloud environment. With this methodology, we can investigate any combination of deployment scenarios and monitor metrics in accordance with the placement of microservices in the cloud-edge continuum. Edge devices may be simulated, but as we use Kubernetes, any device which can be attached to a Kubernetes cluster could be used. In order to demonstrate our methodology, we have applied it to the problem of network function placement of an open-source 5G core implementation. [less ▲]

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See detailAt the Edge of a Seamless Cloud Experience
Rac, Samuel UL; Brorsson, Mats Hakan UL

E-print/Working paper (2021)

There is a growing need for low latency for many devices and users. The traditional cloud computing paradigm can not meet this requirement, legitimizing the need for a new paradigm. Edge computing ... [more ▼]

There is a growing need for low latency for many devices and users. The traditional cloud computing paradigm can not meet this requirement, legitimizing the need for a new paradigm. Edge computing proposes to move computing capacities to the edge of the network, closer to where data is produced and consumed. However, edge computing raises new challenges. At the edge, devices are more heterogeneous than in the data centre, where everything is optimized to achieve economies of scale. Edge devices can be mobile, like a car, which complicates architecture with dynamic topologies. IoT devices produce a considerable amount of data that can be processed at the Edge. In this paper, we discuss the main challenges to be met in edge computing and solutions to achieve a seamless cloud experience. We propose to use technologies like containers and WebAssembly to manage applications' execution on heterogeneous devices. [less ▲]

Detailed reference viewed: 51 (13 UL)