A self-adaptive system can dynamically monitor and adapt its behavior to preserve and
enhance its quality attributes under uncertain operating conditions. This article identifies key …

Computing systems are becoming more and more dynamically reconfigurable or adaptive,
to be flexible wrt their environment and to automate their administration. Autonomic …

Modern software systems are often equipped with hundreds to thousands of configurations,
many of which greatly affect performance. Unfortunately, properly setting these …

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 …

Two established approaches to engineer adaptive systems are architecture-based
adaptation that uses a Monitor-Analysis-Planning-Executing (MAPE) loop that reasons over …

Modern software should satisfy multiple goals simultaneously: it should provide predictable
performance, be robust to failures, handle peak loads and deal seamlessly with unexpected …

Control theoretical techniques have been successfully adopted as methods for self-adaptive
systems design to provide formal guarantees about the effectiveness and robustness of …

Self-adaptive software systems monitor their operation and adapt when their requirements
fail due to unexpected phenomena in their environment. This article examines the case …

Software systems increasingly expose performance-sensitive configuration parameters, or
PerfConfs, to users. Unfortunately, the right settings of these PerfConfs are difficult to decide …

Production high-performance computing systems continue to grow in complexity and size.
As applications struggle to make use of increasingly heterogeneous compute nodes …