According to the dynamic nature of cloud and the rapid growth of the resources demand in it,
the resource provisioning is one of the challenging problems in the cloud environment. The …

Modern software applications are subject to uncertain operating conditions, such as
dynamics in the availability of services and variations of system goals. Consequently …

Elasticity-where systems acquire and release resources in response to dynamic workloads,
while paying only for what they need-is a driving property of cloud computing. At the core of …

We investigate optimal resource allocation and power management in virtualized data
centers with time-varying workloads and heterogeneous applications. Prior work in this area …

Self-adaptation enables software to execute successfully in dynamic, unpredictable, and
uncertain environments. Control theory provides a broad set of mathematically grounded …

Self-adaptation is a first class concern for cloud applications, which should be able to
withstand diverse runtime changes. Variations are simultaneously happening both at the …

Control engineering approaches have been identified as a promising tool to integrate self-
adaptive capabilities into software systems. Introduction of the feedback loop and controller …

To maintain elasticity and scalability of resources at cloud data centers, future workload
prediction has become an indispensable requirement. However, there is high variance in …

The software engineering community has proposed numerous approaches for making
software self-adaptive. These approaches take inspiration from machine learning and …

The pervasiveness and growing complexity of software systems are challenging software
engineering to design systems that can adapt their behavior to withstand unpredictable …