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 …

Emerging cloud-based software services have proposed request for self-adaptive resource
allocation that provides to dynamically adjust resources on demand. Traditional self …

More than a decade ago, the research topic models@ run. time was coined. Since then, the
research area has received increasing attention. Given the prolific results during these …

Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

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 …

Learning and predicting the performance of given software configurations are of high
importance to many software engineering activities. While configurable software systems will …

Context: Self-adaptive systems have been studied in software engineering over the past few
decades attempting to address challenges within the field. There is a continuous significant …

Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

Rapid adoption of Cloud computing for hosting services and its success is primarily
attributed to its attractive features such as elasticity, availability and pay-as-you-go pricing …