Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

Ullah, Amjad and Kiss, Tamas and Kovács, József and Tusa, Francesco and Deslauriers, James (2023) Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions. JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 12 (1). ISSN 2192-113X 10.1186/s13677-023-00516-5

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IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems have been increasing rapidly. These IoT use cases often require simultaneous access to geographically distributed arrays of sensors, heterogeneous remote, local as well as multi-cloud computational resources. This gives birth to the extended Cloud-to-Things computing paradigm. The emergence of this new paradigm raised the quintessential need to extend the orchestration requirements (i.e., the automated deployment and run-time management) of applications from the centralised cloud-only environment to the entire spectrum of resources in the Cloud-to-Things continuum. In order to cope with this requirement, in the last few years, there has been a lot of attention to the development of orchestration systems in both industry and academic environments. This paper is an attempt to gather the research conducted in the orchestration for the Cloud-to-Things continuum landscape and to propose a detailed taxonomy, which is then used to critically review the landscape of existing research work. We finally discuss the key challenges that require further attention and also present a conceptual framework based on the conducted analysis.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Laboratory of Parallel and Distributed Systems
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 14 Dec 2023 08:06
Last Modified: 14 Dec 2023 08:06
URI: https://eprints.sztaki.hu/id/eprint/10601

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