A recurrent challenge in real‐world applications is autonomous management of the
executions at run‐time. In this vein, stream processing is a class of applications that compute …

Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

To meet next-generation Internet of Things (IoT) application demands, edge computing
moves processing power and storage closer to the network edge to minimize latency and …

Fog computing provides microdata center (MDC) facilities closer to the users and
applications, which help to overcome the application latency and response time concerns …

Cloud computing has established itself as the support for the vast majority of emerging
technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the …

Software engineering is evolving quickly leading to an urgency to discover more efficient
development models. DevOps and its security-oriented extension DevSecOps promised to …

Solving complex real-world optimization problems is a computationally demanding task. To
solve it efficiently and effectively, one must possess expert knowledge in various fields …

In a cloud environment, Virtual Machines (VMs) consolidation and resource provisioning are
used to address the issues of workload fluctuations. VM consolidation aims to move the VMs …

In non-stationary time series, there are data bursts, which brings challenges to accurately
predict data. This paper proposes a deep learning framework for non-stationary time series …