Resource Uncertainty

Abstract—In massive Internet of Things (IoT) deployments,

the efficient allocation of computing resources to IoT devices

while preserving devices’ data poses a significant challenge.

This paper proposes a new online probabilistic model to address

uncertainties in demand and resource allocation for IoT

networks, where the task computing of requesting devices is

addressed by serving devices. The model incorporates uncertainty

and formulates an optimization problem, concerning available

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Abstract—In recent years, there has been a significant advancement

in the field of healthcare systems with the introduction

of fifth generation cellular communications and beyond (5GB).

This development has paved the way for the utilization of

telecommunications technologies in healthcare systems with an

level of certainty, reaching up to 99.999 percent. In this paper,

we present a novel task computing framework that can address

the requirements of healthcare systems, such as reliability. In

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