The Symposium on Future Trends in Service-Oriented Computing 2017 is the annual symposium of the HPI Research School and is taking place for the twelfth time. It outlines new trends in the area of Service-oriented Computing and highlights recent work of select Research School members.

The Symposium on Future Trends in Service-Oriented Computing covers a wide range of topics concering SOC, which include but are not limited to: cloud computing, {software, platform, infrastructure} as a service, service description, discovery and composition, service deployment, platform configuration and capacity planning, monitoring, service middleware, service-oriented architectures (SOAs), service management, information as a service, service development and maintenance, novel business models for SOAs, economical implications of web services and SOAs, service science, mobile and peer-to-peer services, data services, quality of service, exception handling, or service reliability and security.

At the symposium Professor Grahn will present BigData@BTH – Scalable Resource-Efficient Systems for Big Data Analytics.

Data will be generated at an ever-increasing rate for the foreseeable future. Added value and cost savings can be obtained by analyzing big data streams. The analysis of large data sets requires scalable and high­performance computer systems. In order to stay competitive and to reduce consumption of energy and other resources, the next generation of systems for scalable big data analytics need to be more resource-efficient. The research profile, Scalable resource-efficient systems for big data analytics, combines existing expertise in machine learning, data mining, and computer engineering to create new knowledge in the area of scalable resource-efficient systems for big data analytics. The value of the new knowledge will be demonstrated and evaluated in two application areas (decision support systems and image processing).

The symposium will take place between April 25-28 at Hasso Plattner Institute, Potsdam