The usage of cloud services is growing exponentially with the recent advancement of
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …

This paper introduces IAO, a new swarm intelligence approach for addressing the challenge
of task scheduling in cloud computing. The proposed method uses conventional Aquila …

In our rapidly-growing big-data area, often the big sensory data from Internet of Things (IoT)
cannot be sent directly to the far data-center in an efficient way because of the limitation in …

Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …

Cloud computing technology refers to on-demand access to services, applications, and
infrastructure that runs on a distributed network utilizing virtualized resources. In the cloud …

Cloud computing is a trending technology that allows users to use computing resources
remotely in a pay-per-use model. One of the main challenges in cloud computing …

As the world is progressing towards more efficient computing and faster approaches, cloud
computing is a popular computing model to such increasing requirements. In order to …

In the context of cloud computing, the task scheduling issue has an immediate effect on
service quality. Task scheduling is the process of assigning work to available resources …

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 …

Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …