The Cloud Control Workshop is a high-profile workshop with participation by invitation only, targeting academic and industrial technology researchers and leaders from all around the world.

The aim of the 13th Cloud Control Workshop is to foster multidisciplinary research in cloud management, leveraging expertise in areas such as autonomic computing, control theory, distributed systems, energy management, machine learning, mathematical statistics, performance modelling, systems management, etc.
By providing an understanding of the research challenges ahead and by fostering multi-disciplinary research collaborations. The ambition is to shape the future of resource management for any type of resources important for the cloud, from single servers to mega-scale datecenters, including, e.g., mobile edge clouds, fog infrastructure, and disaggregated and software-defined infrastructures on any scale, from rack-scale to datacenter-scale. The workshop targets leading researchers from any scientific discipline with potential to contribute to this multidisciplinary topic.

Monica Vitali, from Politecnico di Milano, took part in the whole event and lead a discussion session with the name “Customised Data as a Service for multiple and conflicting data intensive applications in cloud/edge environments”.

The official discussion purpose and overview was the following: IoT sensors are spread all over the world collecting data that might be useful to several customers for different purposes. The Data as a Service paradigm can be used to provide access to data to the different data consumers. In this way, the user can access data without worrying about the data management. The DaaS, instead, manages the data taking decision on copying and moving data from one location to another, either in the edge of the network and in the cloud. In doing so, the DaaS might consider different requirements of the users in terms of Quality of Service. In order to achieve this goal, the DaaS needs to be customised for each user, which can express its requirements through an SLA. The goal of this session is to investigate challenges and opportunities of managing a customised DaaS where the requirements of the different users and applications accessing the data source might be in contrast with each other.

The full presentation is available here.