The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …

Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …

The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …

As the workloads and service requests in cloud computing environments change constantly,
cloud-based software services need to adaptively allocate resources for ensuring the Quality …

The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Deploying microservice instances on the edge device close to end users can provide on-site
processing thus reducing request response time. Each microservice has multiple instances …

Abstract Service‐oriented architecture (SOA) has been widely used to design enterprise
applications in the past two decades. The services in SOA are becoming complex with the …

The advancements in the use of Internet of Things (IoT) devices is increasing continuously
and generating huge amounts of data in a fast manner. Cloud computing is an important …