The Symposium on Future Trends in Service-Oriented Computing 2015 is the annual symposium of the HPI Research School and is taking place for the tenth 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 - Connecting Industry & Academia
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 | 00:14:44 | |
|---|---|---|
| Elevator Pitch | 00:14:44 |
| Building a Cloud | 00:34:57 | |
|---|---|---|
| Would you... | 00:04:18 | |
| How did Amazon get into Cloud Computing? | 00:17:27 | |
| AWS Global Infrastructure | 00:11:03 | |
| Conclusion | 00:02:09 |
| Domain-specific Languages for On-the-Fly Computing Markets | 00:32:09 | |
|---|---|---|
| The Vision of On-the-Fly Computing | 00:10:25 | |
| Core Language and Matching | 00:04:40 | |
| Solution Approach: LM Optimizer | 00:13:21 | |
| Case Studies and Conclusion | 00:03:43 |
| IBM Boe R&D HW Development | 00:26:44 | |
|---|---|---|
| CMOS Technology | 00:07:29 | |
| Parallelism | 00:10:00 | |
| HW Acceleration | 00:09:15 |
| High Performance Systems | 00:33:53 | |
|---|---|---|
| Compute Intensive | 00:12:15 | |
| Data Intensive | 00:21:38 |
| Unifying Conceptual Data Modelling Languages | 00:24:28 | |
|---|---|---|
| Motivation | 00:07:11 | |
| Unification Approach | 00:09:43 | |
| Quantitative Analysis | 00:07:11 | |
| Conclusions | 00:00:23 |
| Making the OpenStack Market | 00:29:24 | |
|---|---|---|
| Finding New Markets | 00:09:19 | |
| Governance and Structure | 00:05:54 | |
| Be Ambitious | 00:10:56 | |
| Summary | 00:03:15 |
| A General Framework for Big Data Analysis and Some Examples | 00:14:58 | |
|---|---|---|
| Introduction | 00:03:55 | |
| Our Thoughts | 00:01:30 | |
| Our Work | 00:03:17 | |
| Application Cases | 00:06:16 |
| Scalable Concurrent Data Structures | 00:30:02 | |
|---|---|---|
| Does it matter? | 00:12:43 | |
| Getting it right | 00:08:50 | |
| Doing it automatically | 00:07:33 | |
| Conclusions | 00:00:56 |
| Fast Encryption on (shared) Block Eviction | 00:31:16 | |
|---|---|---|
| Introduction and Motivation | 00:07:40 | |
| Getting into the Details | 00:06:34 | |
| Our Solution & System | 00:14:33 | |
| Optimization, Future & Conclusions | 00:02:29 |
| Analysis and Applications of Mass Data in Telecom | 00:29:33 | |
|---|---|---|
| Motivation | 00:03:24 | |
| Platform | 00:03:08 | |
| Applications | 00:20:04 | |
| Future Work | 00:02:57 |
| Layout Stability in 2D Software Maps | 00:21:12 | |
|---|---|---|
| Software Maps | 00:06:43 | |
| 2D Software Maps | 00:02:16 | |
| Layout Stability | 00:10:37 | |
| Future Work | 00:01:36 |
