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.
Ph.D. Students Introduce Their Work - Elevator Pitch | 00:14:06 | |
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Elevator Pitch | 00:14:06 |
IBM Systems - Next Gen Computing | 00:46:17 | |
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Digital Transformation | 00:17:37 | |
Artificial Intelligence | 00:04:12 | |
Neural Networks | 00:19:45 | |
Quantum Computing | 00:04:43 |
Service Design as a Set of Architectural Decisions: Paradigms, Principles, and Patterns | 00:32:22 | |
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Paradigms | 00:10:50 | |
Principles | 00:04:08 | |
Patterns | 00:13:58 | |
Decisions | 00:03:26 |
Data Curation in the Wild: Limits and Challenges | 00:20:56 | |
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Emergence of Data Driven Applications | 00:02:50 | |
Data Cleaning | 00:06:40 | |
Assumptions and Methodology | 00:11:26 |
Acceleration of Fine-Grain Task-Based Parallelism | 00:23:26 | |
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Introduction | 00:07:51 | |
Problem Statement | 00:04:56 | |
Our Solution | 00:10:39 |
You know nothing… - Technologies for Obtaining Relevant Data in Point-of-care Diagnostics and the Life Sciences | 00:30:44 | |
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Motivation | 00:10:11 | |
The Need | 00:14:38 | |
Biology On-a-Chip | 00:05:55 |
Development and Initial Ex-Vivo Testing of an Infection Detecting Wound Dressing | 00:26:18 | |
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Wounds | 00:15:00 | |
Virulence Factors | 00:04:40 | |
Our Infection Sensing Dressing Solution | 00:06:38 |
Data Science and Network Modeling in Biomedicine | 00:33:13 | |
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Data Analytics in the Life Sciences | 00:03:09 | |
Prediction by Machine Learning | 00:12:35 | |
Single-Cell Transcriptonomics | 00:17:29 |
BigData@BTH – Scalable Resource-Efficient Systems for Big Data Analytics | 00:29:42 | |
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BigData@BTH | 00:07:08 | |
Research Themes - Theme A & B | 00:13:45 | |
Research Themes - Theme C | 00:08:49 |
A Fault-Injection-Driven Development Process | 00:20:51 | |
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Software Fault Tolerance Fails | 00:08:54 | |
Code Level | 00:07:10 | |
Node Level | 00:04:47 |
Digital Mechanical Metamaterials | 00:21:38 | |
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Introduction | 00:04:50 | |
Digital Mechanical Metamaterials | 00:06:37 | |
Challenges | 00:10:11 |
Breaking Away from von Neumann: A Massively Multithreaded Dataflow Processor | 00:39:42 | |
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On von Neumann Inefficiencies | 00:12:57 | |
Design Issues | 00:08:58 | |
Evaluation | 00:15:37 | |
Conclusions | 00:02:10 |
The Future of Crowdsourced Testing | 00:24:30 | |
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Testing as a Service | 00:06:52 | |
The State of Practice | 00:08:15 | |
The Future of Crowdsourced Testing | 00:09:23 |
Concluding Remarks | 00:02:44 | |
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Closing Remarks & Good Bye | 00:02:44 |