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Funded by the European Community's 7th Framework Programme FP7/2007-2013 / Objective 1.2 www.s-cube-network.eu Service Engineering for the Future Internet.

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Presentation on theme: "Funded by the European Community's 7th Framework Programme FP7/2007-2013 / Objective 1.2 www.s-cube-network.eu Service Engineering for the Future Internet."— Presentation transcript:

1 Funded by the European Community's 7th Framework Programme FP7/2007-2013 / Objective 1.2 www.s-cube-network.eu Service Engineering for the Future Internet of Services Manuel Carro (UPM) Andreas Metzger (Paluno) Barbara Pernici (Politecnico di Milano)

2 Part 1: Overview of S-Cube Part 2: Service engineering research in S-Cube and links with industrial use cases Part 3: Collaboration opportunities and wrap-up K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 2/

3 Part 1: Overview of S-Cube Part 2: Service engineering research in S-Cube and links with industrial use cases Part 3: Collaboration opportunities and wrap-up K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 3/

4 S-Cube‘s Goals and Who We Are K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 4/

5 K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 5/ SEBPM  Establish a unified, multidisciplinary, vibrant research community for software services and systems  Invent the next wave of service technologies  Establish agile & holistic service engineering & adaptation principles, techniques & methods to foster innovation  Inaugurate a Europe-wide education and training programme for researchers and industry  Establish a trust relationship with industry S-Cube Vision and Objectives GridSOC

6 K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 6/ S-Cube Who we Are PALUNO, University of Duisburg-Essen (Coordinator) Tilburg UniversityCity University London Lero INRIA MTA SZTAKI University of Crete Université Claude Bernard Lyon Universidad Politécnica de Madrid University of Stuttgart Vienna University of Technology Politecnico di Milano Consiglio Nazionale delle Ricerche (CNR) Center for Scientific and Technol. Research (FBK) VU Amsterdam University of Hamburg + 11 Associate Members + 11 Associate Members www.s-cube-network.eu

7 5 professors 60 staff members One goal: Empowering the development and adaptation of converged future internet applications S-Cube Coordinator

8 Why we need to Integrate Communities K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 8/

9 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 9/ Need for Cross-Disciplinary Research Service Engineering Identify adaptation needs Identify adaptation strategy Enact adaptation Requirements Engineering & Design Construction Deployment & provisioning Operation & Management EvolutionAdaptation Run-time QA Challenge: How to support deciding between adaptation & evolution? Challenge: How to design systems to enable run-time quality assurance?

10 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 10/ Need for Cross-Disciplinary Research Adaptation and Monitoring Business Process Management Service Composition Bound to… Activity Service Service Infrastructure Service Instance Challenge: How to coordinate adaptations across layers? Event Challenge: How to observe / monitor conflicting situations?

11 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 11/ Need for Cross-Disciplinary Research Quality Assurance Service-based System in Operation Decide on Adaptation monitor adapt predict “Model” of Service-based System Challenge: How to determine the future quality of the system? Challenge: How to keep system “model” in sync with a continuously adapting system?

12 How S-Cube Will Integrate Communities K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 12/

13 A. Metzger – CoreGRID Symposium – Las Palmas, August 2008 © Prof. Dr. K. Pohl – 13 S-Cube’s Integrated Research Framework Motivation  Problems: –How to coordinate and align research between members and communities? –How to make knowledge of different disciplines explicit in order to avoid overlaps (exploit synergies) and to identify gaps –How to handle complexity (many different solutions,...)  Solution: S-Cube’s IRF –Clear separation of concerns: -Local mechanisms / technologies -Local principles, techniques and methods VS. -Global principles, techniques and methods –Clearly defined interfaces between the separate concerns

14 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 14/ S-Cube Research Framework Overview Adaptation & Monitoring (SAM) Business Process Mgt. (BPM) Composition & Coordination (SCC) Infra- structure (SI) Engineering & Design (SED) Quality Definition, Negotiation & Assurance (SQDNA) Cross-cutting issues! Cross-cutting issues! SOA Layers SOA Layers

15 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 15/ S-Cube Research Framework Interaction View Quality Definition, Negotiation & Assurance (SQDNA) Business Process Management (BPM) Service Composition & Coordination (SCC) Service Infrastructure (SI) Design Spec. Local Design Capabilities Design Spec. Local Design Capabilities Local A&M Capabilities A&M Spec. Local A&M Capabilities A&M Spec. Local A&M Capabilities A&M Spec. Adaptation and Monitoring Specifications Integrated Adaptation and Monitoring Capabilities Engineering and Design (SED) Adaptation and Monitoring (SAM) Local QDNA Capabilities QDNA Specifications Integrated QDNA Capabilities QDNA Specifications Design Spec. Local Design Capabilities 3 QDNA Capab. QDNA Spec. Monit. Capab. Monit. Spec.

16 K. Pohl – CAiSE, Amsterdam, June 2009 © S-Cube – 16/ Service Composition & Coordination (SCC) Service Adaptation & Monitoring (SAM) Monitored Events Adaptation requirements Service Infrastructure (SI) Business Process Management (BPM) Adaptation Strategies Service Engineering & Design (SED) Requirements Engineering & Design Deployment & Provisioning = Capability and Specification Interactions = Operation and Run-time Interactions Quality Definition, Negotiation & Assurance (SQDNA) Operation, Management & Evolution Construction cross-layer adaptation and monitoring capabilities adaptation capabilities monitoring data triggered adaptations monitoring capabilities monitoring specifications adaptation specifications composition capabilities composition specifications triggered evolutions 1 2 3 cross-layer monitoring data 4 4 5 6 5 7 cross-layer adaptation and monitoring specifications 8 9 10 Quality Mechanisms Adaptation Mechanisms Monitoring Mechanisms Composition Mechanisms

17 S-Cube‘s Key results (so far) K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 17/

18 K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 18/ S-Cube Results: Alignment of Communities  ServiceWave Conference Series –http://www.servicewave.eu/http://www.servicewave.eu/ –3 rd Conference: Gent –DATE:  S-Cube Knowledge Model –http://www.s-cube-network.eu/KMhttp://www.s-cube-network.eu/KM –Repository of term, definitions and competencies  S-Cube’s IRF –Will be published as living web document.. –URL:

19 K. Pohl – CIP – Düsseldorf – March, 2010 © S-Cube / Prof. Dr. K. Pohl– 19/ S-Cube Results: Education  SSAIE Summer School –http://www.ssaie.eu/http://www.ssaie.eu/ –3rd Summer School: -, Crete  S-Cube Virtual Campus –URL:  Int’l Masters in Service Engineering –http://www.erasmusmundus-imse.euhttp://www.erasmusmundus-imse.eu


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