Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds

Abstract

The complexity of computing along the cloud-to-edge continuum presents significant challenges to ICT operations and in particular reliable capacity planning and resource provisioning to meet unpredictable, fluctuating, and mobile demand. This chapter presents a high-level 2

Cloud Continuum: The Definition

“…In 2020, eight studies mentioned the concept of ''continuum'' and similarly placed the concept as the services between cloud and the end-devices (i.e., edge). However, though five studies, [SP7], [SP8], [SP11], [SP12], and [SP14], mentioned ''fog'' when defining continuum, none of the studies have clearly distinguish them; when some studies, e.g., [SP8], [SP12], indicate continuum is between cloud and fog. Meanwhile, four studies mentioned IoT when defining continuum [SP11]- [SP14]; however, the relation between continuum and IoT is not clearly delineate either.…”

Mapping the Business Value of the Internet of Things

“…The scale and complexity of data generated by smart end-points in the IoT is so complex, it is no longer realistic for IT teams to cost-effectively foresee and manage manually the infrastructure underlying the IoT or the data generated by the IoT on a detailed level due to high levels of dynamism and dependencies across the cloud-to-thing continuum (Domaschka et al 2020). It is therefore necessary for enterprises to invest in organisationwide analytics capability to realise value from the data generated by smart devices (Gupta and George 2016;Wamba et al 2017) but also to manage the infrastructure and service chain underlying the IoT.…”