With the ongoing shift to a data-driven world in almost all application domains, the management and interpretation/analytics of large amounts of data gain in importance. Moreover, an increasingly important requirement for data management systems is the ability to self-manage by adapting at runtime (1) to react on changing workload and data characteristics or (2) to balance performance and energy-efficiency constraints. Generally, the topic of self-adaptive and self-managing systems has been studied in a variety of applications areas, including autonomic computing, robotics, control systems, and software architectures. The purpose of this special session is to foster the collaboration between disciplines. This special session is the ideal venue for discussing what can be shared in terms of experience, concepts, techniques, modeling paradigms, and to identify new directions.
|Submissions:||May 28, 2019|
|Notification:||June 12, 2019|
|Event:||July 26, 2019-July 28, 2019|