Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

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 …

Cloud applications are becoming more containerized in nature. Developing a cloud
application based on a microservice architecture imposes different challenges including …

Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba
Cloud's computing platforms, which dynamically adjust the Elastic Compute Service (ECS) …

Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …

Portfolio managements in financial markets involve risk management strategies and
opportunistic responses to individual trading behaviours. Optimal portfolios constructed aim …

The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …

Serverless computing is emerging as a cloud computing paradigm that provisions
computing resources on demand, while billing is taking place based on the exact usage of …

Serverless Function-as-a-Service (FaaS) offers improved programmability for customers, yet
it is not server-" less" and comes at the cost of more complex infrastructure management (eg …

The rapid advancement of computation techniques and cloud computing has led to
substantial advancements in Cyber-Physical Systems (CPS), particularly in the field of …