Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …

Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …

Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

Processing IoT applications directly in the cloud may not be the most efficient solution for
each IoT scenario, especially for time-sensitive applications. A promising alternative is to …

Recently, there has been growing interest in distributed models for addressing issues
related to Cloud computing environments, particularly resource allocation. This involves two …

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex
problem due to the presence of heterogeneous application (MapReduce, content delivery …

Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …

Cloud computing infrastructure is suitable for meeting computational needs of large task
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …