Towards characterization of edge-cloud continuum
Danylo Khalyeyev, Tom\'a\v{s} Bure\v{s}, Petr Hn\v{e}tynka

TL;DR
This paper reviews the emerging concept of the edge-cloud continuum, analyzing its features, challenges, and the integration of IoT and cloud computing to enable seamless software movement across computational layers.
Contribution
It provides a comprehensive review and synthesis of existing literature on the edge-cloud continuum, clarifying its definition, features, and challenges.
Findings
Identifies key features of the edge-cloud continuum.
Highlights challenges in seamless integration and software mobility.
Synthesizes various perspectives into a coherent framework.
Abstract
Internet of Things and cloud computing are two technological paradigms that reached widespread adoption in recent years. These paradigms are complementary: IoT applications often rely on the computational resources of the cloud to process the data generated by IoT devices. The highly distributed nature of IoT applications and the giant amounts of data involved led to significant parts of computation being moved from the centralized cloud to the edge of the network. This gave rise to new hybrid paradigms, such as edge-cloud computing and fog computing. Recent advances in IoT hardware, combined with the continued increase in complexity and variability of the edge-cloud environment, led to an emergence of a new vision of edge-cloud continuum: the next step of integration between the IoT and the cloud, where software components can seamlessly move between the levels of computational…
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