12th Annual Symposium on Future Trends in Service-Oriented Computing (2017)

Prof. Dr. Andreas Polze


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.

As the HPI Research School is an interdisciplinary undertaking of the HPI research groups, 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.

Excellent speakers – both from industry and academia – leaders in their respective field of research, are invited to talk about their latest projects and resulting outcomes.

Opening

Opening of the Symposium on Future Trends in Service-Oriented Computing

Date: April 27, 2017
Language: English
Duration: 00:20:34

Ph.D. Students Introduce Their Work - Elevator Pitch

Date: April 27, 2017
Language: English
Duration: 00:14:06

Keynote

IBM Systems - Next Gen Computing

Date: April 27, 2017
Language: English
Duration: 00:46:17

Announcement of 2017 IBM Ph.D. Fellowship Award

Announcement of 2017 IBM Ph.D. Fellowship Award

Date: April 27, 2017
Language: English
Duration: 00:02:09

Session 1

Service Design as a Set of Architectural Decisions: Paradigms, Principles, and Patterns

Date: April 27, 2017
Language: English
Duration: 00:32:22

Data Curation in the Wild: Limits and Challenges

Date: April 27, 2017
Language: English
Duration: 00:20:56

Acceleration of Fine-Grain Task-Based Parallelism

Date: April 27, 2017
Language: English
Duration: 00:23:26

Keynote

You know nothing… - Technologies for Obtaining Relevant Data in Point-of-care Diagnostics and the Life Sciences

Date: April 27, 2017
Language: English
Duration: 00:30:44

Session 2

Development and Initial Ex-Vivo Testing of an Infection Detecting Wound Dressing

Date: April 27, 2017
Language: English
Duration: 00:26:18

Data Science and Network Modeling in Biomedicine

Date: April 27, 2017
Language: English
Duration: 00:33:13

Designing with Community Health Workers: Feedback-Integrated Community Health Education

Date: April 27, 2017
Language: English
Duration: 00:19:37

Session 3

BigData@BTH – Scalable Resource-Efficient Systems for Big Data Analytics

Date: April 27, 2017
Language: English
Duration: 00:29:42

The Schul-Cloud Project: Using Microservices to Handle Heterogeneous Infrastructures in German Schools

Date: April 27, 2017
Language: English
Duration: 00:28:56

Session 4

A Fault-Injection-Driven Development Process

Date: April 27, 2017
Language: English
Duration: 00:20:51

Digital Mechanical Metamaterials

Date: April 27, 2017
Language: English
Duration: 00:21:38

Keynote

Breaking Away from von Neumann: A Massively Multithreaded Dataflow Processor

Date: April 28, 2017
Language: English
Duration: 00:39:42

Session 5

Service-based, Collaborative, Dynamic and Complex Systems

Date: April 28, 2017
Language: English
Duration: 00:31:40

From Electrons to Scheduling: System Software for Energy-Aware Real-Time Systems

Date: April 28, 2017
Language: English
Duration: 00:27:56

Session 6

Usability, Use and Reuse of Software Services: A Human Centered Approach to Understanding Uptake Resistance

Date: April 28, 2017
Language: English
Duration: 00:27:00

The Future of Crowdsourced Testing

Date: April 28, 2017
Language: English
Duration: 00:24:30

Concluding Remarks

Date: April 28, 2017
Language: English
Duration: 00:02:44