Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …

Virtualization technology is the backbone of cloud systems, the fastest-growing energy
consumers, globally. It holds an imperative position in the resource management area by …

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 …

A goal of cloud service management is to design self-adaptable auto-scaler to react to
workload fluctuations and changing the resources assigned. The key problem is how and …

Modern software systems are built to be used in dynamic environments using configuration
capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we …

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) …

The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been developing, considering …

Time-critical applications, such as early warning systems or live event broadcasting, present
particular challenges. They have hard limits on Quality of Service constraints that must be …

Modern cyber-physical systems (eg, robotics systems) are typically composed of physical
and software components, the characteristics of which are likely to change over time …