Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …

Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Cloud computing is a distributed computing model which renders services for cloud users
around the world. These services need to be rendered to customers with high availability …

Microservices is a structural approach, where multiple small set of services are composed
and processed independently with lightweight communication mechanism. To accomplish …

Due to the massive advancement of the Internet of Things in our day-to-day lives, there is a
strong need to bring connectivity to a very accessible level. To enable the execution of real …

An efficient offloading strategy provides a promising solution to latency-sensitive
applications in a cloud fog environment, but the fog computing environment is not fully …

As machine learning (ML) technologies continue to evolve, there is an increasing demand
for data. Mobile crowd sensing (MCS) can motivate more users in the data collection …

Serverless computing along with Function‐as‐a‐Service (FaaS) is forming a new computing
paradigm that is anticipated to found the next generation of cloud systems. The popularity of …