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 | 00:15:20 | |
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| Elevator Pitch | 00:15:20 |
| Learning Imbalanced Semantic Segmentation through Cross-Domain Relations of Multi-Agent GANs | 00:12:51 | |
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| Motivation of Research | 00:02:06 | |
| Generative Adversarial Networks | 00:09:55 | |
| Conclusion | 00:00:50 |
| Improving the Service of Humanitarian Interventions | 00:22:52 | |
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| Challenge of Development and Humanitarian Aid | 00:15:17 | |
| Ethical Use of AI | 00:06:31 | |
| Next... | 00:01:04 |
| Adaptive Software Cache Management | 00:25:20 | |
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| The Essence of Caching | 00:05:03 | |
| Modern Cache Management Policies | 00:07:42 | |
| Our Adaptive Chaching | 00:12:35 |
| Design for Strengthening of Bandwidth-Constrained Communities | 00:24:36 | |
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| Digital Divide vs. Social Inclusion | 00:13:32 | |
| Locality of Interest | 00:03:31 | |
| iNethi | 00:07:33 |
| NVRAM - How Memory Will Change Our View of Computing | 00:17:59 | |
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| The Vision of Memory | 00:04:07 | |
| NVRAM | 00:11:35 | |
| Conclusions | 00:02:17 |
| On Data-to-Text Generation of South African Nguni Languages | 00:13:39 | |
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| Data-to-Text Natural Language Generation | 00:03:16 | |
| Problem Statement | 00:03:29 | |
| Our Proposal: Morphological Templates | 00:06:54 |
| Leveraging Personal Data to Boost Developer Productivity | 00:23:04 | |
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| Research Vision | 00:02:10 | |
| Developer Analytics | 00:06:25 | |
| Sensing Developers | 00:07:17 | |
| FlowLight Reducing Interruptions | 00:07:12 |
| TrussFab & TrussFormer: Software Tools for Large-Scale Personal Fabrication | 00:20:13 | |
|---|---|---|
| Introduction | 00:03:46 | |
| TrussFab | 00:08:24 | |
| Designing with Trussformer | 00:08:03 |
| Heterogeneous Information Network Embedding with Graph Attention Networks | 00:15:18 | |
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| Networks in Daily Life... | 00:02:07 | |
| What is Network Embedding? | 00:11:53 | |
| Summary and Future Works | 00:01:18 |
| Towards Scalable Multi-Pattern Complex Event Processing | 00:18:13 | |
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| How Do Modern Systems Detect... | 00:01:16 | |
| Complex Event Processing | 00:06:15 | |
| NFA-Based Detection Example | 00:10:42 |
| Webly-supervised Semantic Segmentation via Curriculum Learning | 00:22:40 | |
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| Image Semantic Segmentation | 00:06:33 | |
| Questions... | 00:14:39 | |
| Summary and Future Works | 00:01:28 |
| Melding Disparate Experiences of NICU through Cooperative Prototyping | 00:15:47 | |
|---|---|---|
| Introduction | 00:04:34 | |
| Research Questions | 00:08:27 | |
| Lessons Learned | 00:02:46 |
