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

Abstract

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.

Comprehensive enhancements for machine-learning based cloud resource orchestration algorithms

“…As discussed in [3][4][5], auto-scaling algorithms are diverse and involve various components at the infrastructure, platform and software levels. The classification, however, differs from our viewpoint.…”

Distributed Learning in the IoT–Edge–Cloud Continuum

“…Five review articles [2][3][4][5][6] and three survey articles [7][8][9] were found that research similar aspects of the IECC. Kampars et al [3] reviewed the application layer communication protocols that can be used for interconnecting the layers of the IECC.…”

“…In addition, they analyzed the directions in which applications can benefit from this computing paradigm. In order to provide a taxonomy for orchestration in the cloud-to-things compute continuum, Ullah et al [6] reviewed existing state-of-the-art research on orchestration in this field. In addition, they proposed a high-level conceptual framework of orchestration.…”