Abstract
Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora of nodes and data. In this paper, an overview on the area of hybrid clouds considering relevant research areas is given, providing technologies and mechanisms for the formation of such MEC deployments, as well as emphasizing several key issues that should be tackled by novel approaches, especially under the 5G paradigm. Furthermore, a decentralized hybrid cloud MEC architecture, resulting in a Platform-as-a-Service (PaaS) is proposed and its main building blocks and layers are thoroughly described. Aiming to offer a broad perspective on the business potential of such a platform, the stakeholder ecosystem is also analyzed. Finally, two use cases in the context of smart cities and mobile health are presented, aimed at showing how the proposed PaaS enables the development of respective IoT applications.
Highlights
The rapid proliferation of the Internet of Things (IoT), comprising connected sensors and devices, provides opportunities to develop intelligent applications, transforming data into business knowledge and societal information for a broad set of verticals, from smart grid and autonomous driving to industrial automation and sports entertainment
The IoT growth is further fueled by multi-access edge computing (MEC) advances and fifth generation (5G) mobile communications, providing architectures, platforms and tools, for IoT and cloud computing integration in the network softwarization era
These solutions do not achieve the requirements stemming from the applications and infrastructures envisioned in the cloud native landscape, by being intrusive and heavy-handed for short-lived, lightweight network function instances, not following the fast pace of management changes enforced by continuous dynamic scheduling, provisioning and auto-scaling of applications and not covering the requirements of all the involved emerging technologies, including deployments in both a hypervisor-based and containerized manner, as well as monitoring data collection from federated clouds
Summary
The rapid proliferation of the Internet of Things (IoT), comprising connected sensors and devices, provides opportunities to develop intelligent applications, transforming data into business knowledge and societal information for a broad set of verticals, from smart grid and autonomous driving to industrial automation and sports entertainment. Hybrid clouds provide increased flexibility for organizations to scale computing resources, reduce capital expenditures while handling peaks in demand and facilitate the allocation of local resources for more sensitive data or applications. In this ecosystem, incipient distributed and federated combinations of infrastructure located close to the edge reduce latency, minimize network load and optimize services execution, through data and computational offloading [4]
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