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Key Deliverables

by Andreas Metzger last modified Oct 23, 2008 09:46

A list of deliverables, which document the key outcomes of S-Cube.

[CD-JRA-1.3.5] Integrated principles, techniques and methodologies for specifying end-to-end quality and negotiating SLAs and for assuring end-to-end quality provision and SLA conformance by Osama Sammodi — last modified Jun 09, 2011 15:33
The aim of this deliverable is twofold: (1) It provides an updated overview of the research challenges of WP-JRA-1.3 (“End-to-End Quality Provision & SLA Conformance”). (2) It reports on results for run-time quality assurance, quality prediction (to enable proactive adaptation) and automated and proactive negotiation, where first improvements based on the validation results are incorporated. Work related to these principles and techniques, carried out by S-Cube NoE participants and published in books, journals and conference proceedings, is summarized and assessed with respect to the coverage of the research challenges for this workpackage.
CD JRA 1.1.5 Analysis on how to exploit codified HCI and codified context knowledge for SBA engineering by Osama Sammodi — last modified May 17, 2010 16:00
Deliverable CD-JRA-1.1.5 is a paper-based deliverable comprised of seven research papers. All papers deal with the exploitation of codified context knowledge. It can clearly be seen that on the one hand the different research communities interpret “context” differently ranging from HCI aspects to engineering aspects relevant for SBAs. On the other hand our analysis of the relation of the approaches to the life cycle model shows that the approaches try to integrate different phases of the life-cycle and, thus, S-Cube is now focussing more on integrated research, which covers more than one phase of the life-cycle of SBAs.
CD-IA-1.1.1 Comprehensive Overview of the State of the Art on Service-based Systems by Andreas Gehlert — last modified May 19, 2009 10:14
This deliverable describes the state-of-the-art in service-based systems in the form of a Knowledge Model (KM) for S-Cube, explaining its purpose and its individual components. It also identifies previous approaches from related EU projects and international activities that have resulted in the definition of a large body of concepts relating to software services research. These approaches are scrutinized, adapted and reused to the extend possible as part of the S-Cube KM. In addition, it summarizes and cross-correlates the major research findings of the state-of-the-art deliverables in S-Cube, and shows how they contribute towards building an initial version of the KM. Finally, it describes the connection of the S-Cube KM to a number of knowledge sources and knowledge-intensive activities within S-Cube and its usage by both internal and external users.
CD-IA-1.1.2 Separate Knowledge Models for Functional Layers by Benedikt Liegener — last modified May 19, 2009 10:14
This deliverable presents S-Cube’s vision for its Knowledge Model (KM) and reports on the developments to the KM content and structure since its previous version (September 2008). The major work achieved during this period was to develop a new version of the KM which builds on the previous content.
CD-IA-1.1.5 Consolidated convergence knowledge model by Dustin Hebgen — last modified Jun 09, 2011 20:27
This deliverable describes the work done to achieve a Consolidated Convergence Knowledge Model as required at M33. Consolidation of the Knowledge Model is obtained on the basis of the results of the research agenda alignment, and of the new research results achieved by the different research work-packages. The current deliverable constitutes a follow-up of deliverable CD-IA-1.1.3, and offers an assessment of the KPIs (Key Performance Indicators) defined for the evaluation of the consolidation of the Knowledge Model.
CD-IA-1.1.7 Consolidated and updated state of the art report on Service-Based by Andreas Metzger — last modified Oct 24, 2012 16:24
This deliverable discusses the advancements of the State of the Art of the topics studied in S-Cube since the beginning of the NoE on the basis of both S-Cube and extra-S-Cube research efforts.
CD-IA-1.1.8 Release of Research Roadmap on SBAs and sustainable convergence KM by Benedikt Liegener — last modified Oct 24, 2012 16:24
The aim of this deliverable is twofold. First, it summarizes the S-Cube activities and results for what concerns the release of a research roadmap on service-based applications. Secondly, it describes the activities and outcomes to update the S-Cube Knowledge Model (KM) as well as to ensure its sustainability.
CD-IA-2.1.4 Mobility programme determined based on the S-Cube Convergence Knowledge Model by Dustin Hebgen — last modified Jun 09, 2011 20:29
This deliverable updates the figures provided in deliverable CD-IA-2.1.3 “Initial assessment of results of a separate mobility program for researchers and students” about how the scientific subjects for mobility and the S-Cube integration framework elements have been covered by the mobility initiatives. The reference period goes from month 1 to month 29. It also proposes a restructuring of the scientific subjects for mobility based on the current focus of S-Cube and on the information recorded in the Knowledge Model. Finally, the deliverable provides some guidelines for the future mobility initiatives.
CD-IA-2.1.7 Concluding assessment of mobility programme and possible agreements by Benedikt Liegener — last modified Oct 24, 2012 16:25
This deliverable reports on the breadth, coverage and outcomes of mobility initiatives from the S-Cube mobility programme from month 1 to month 48. It also outlines possible areas, objectives and implementation routes for future research collaboration between participating S-Cube organisations. It updates and extends previous S-Cube deliverables: CD-IA-2.1.3 “Initial assessment of results of a separate mobility program for researchers and students”; CD-IA-2.1.4 “Mobility program determined based on the S-Cube Convergence Knowledge Model”; PO-IA-2.1.6 “Intermediate Assessment of mobility program for researchers and students”.
CD-IA-2.2.5 Final version of the methodology for describing pilot cases by Dustin Hebgen — last modified Jun 09, 2011 20:31
This deliverable introduces the final version of the methodology for describing pilot cases starting from the first version described in the Deliverable CD-IA-2.2.2. This new version has strict relationships with other S-Cube Integrated Activities: IA-1.1 for the Knowledge Model and IA-3.1 for the Integrated Research Framework. The methodology is also available as a Wiki available at http://scube-casestudies.ws.dei.polimi.it that forms integral and substantial part of this document.
CD-IA-2.2.7 Report on industrial dissemination of S-Cube research results by Benedikt Liegener — last modified Oct 24, 2012 16:25
The goal of this deliverable is to report on the dissemination during the fourth year of the project to industries which research agenda includes the study on Service Based Applications. Such dissemination has been performed through different channels: individual meetings, workshops, and internships. In addition a specific section on the S-Cube portal has been established to host the publication of the most mature result of the consortium that could be interesting for the companies.
CD-IA-3.1.1 Integration Framework Baseline by Benedikt Liegener — last modified May 19, 2009 10:13
This document describes the baseline of the S-Cube Integrated Research Framework. The objective of this framework, which will be constantly and incrementally refined and extended throughout the whole life of the project, is to provide a holistic vision that integrates, aligns and coordinates the research efforts and results of the joint research activities undertaken in JRA-1 and JRA-2. The baseline for the Integrated Research Framework described in this document consists of a set of views which define different perspectives on the S-Cube research: conceptual framework, reference life-cycle, logical run-time architecture, logical design environment. In this deliverable, we provide a description of these views and a first definition of the interfaces between the elements of the framework. We map the research efforts undertaken in the different joint research activities into these views. Finally, we define responsibilities for the different research work-packages, and relationships among them, in terms of their contributions to these views.
CD-IA-3.1.5 Consolidated Revised Integration Framework by Dustin Hebgen — last modified Jun 09, 2011 20:33
In this deliverable we introduce the revised version of the S-Cube Integrated Research Framework (IRF). Based on the internal validation presented in the deliverable CD-IA-3.2.2 as well on the improvements implemented by the planned readjustment of S-Cube’s Joint Programme of Activities, the research challenges and research questions included in the first version of the IRF (see CD-IA-3.1.3) had been updated with respect to the research focus of the Joint Research Activities. This effort aims at reducing the complexity of the IRF and also to ensure its consistency. In addition, a first attempt to identify the relationship between the research challenges and questions in the IRF and the Future of Internet vision is discussed.
CD-IA-3.1.7 Final Version of the Integrated Research Framework by Benedikt Liegener — last modified Oct 24, 2012 16:26
In this deliverable we describe the final version of the S-Cube Integrated Research Framework (IRF). More precisely, the research work-packages have been asked to report any update to the research challenges and questions collected during the previous years of the project and reported in deliverables CD-IA-3.1.3 for year 2 and CD-IA-3.1.5 for year 3. Furthermore, the research work-packages have been asked to update the relationships between the research challenges and questions in the IRF and the Future of Internet vision, which have been defined in CD-IA-3.1.5. Only minor updates have been reported with respect to the challenges, questions, and relations with the Future of Internet, which confirms the good level of consolidation of the IRF already reached at the end of the 3rd project year.
CD-IA-3.2.4 Results of the Second Validation by Dustin Hebgen — last modified Jun 09, 2011 20:36
In this document, Deliverable CD-IA-3.2.4 “Results of the Second Validation” we report the validation of the integration of the IRF building blocks, i.e., the results of task T-IA-3.2.1. This deliverable describes the vision and strategy of the work package WP-IA-3.2 (using the Description of Work Amendment #4 as basis). A description of the work package’s roadmap until the end of the S-Cube project is given, including the validation strategy and the interaction with other WPs. The validation method is introduced and applied to the IRF. The results of this application are listed. Finally, the summarized results and the conclusions are presented.
CD-IA-3.2.5 Report on the Final Validation of the Integration Framework by Benedikt Liegener — last modified Oct 24, 2012 16:26
In this document, we report about the validation activities performed in the 4th project year as part of WP-IA-3.2. The deliverable describes the vision and strategy of the work package (using the Description of Work Amendment #4 as basis), provides a description of the work package roadmap until the end of the S-Cube project introduces and describes the application of the validation, and, finally, summarizes results and provides some conclusions.
CD-JRA-1.1.2 Separate Design Knowledge Models for Software Engineering and Service Based Computing by Benedikt Liegener — last modified Jun 16, 2009 14:18
This deliverable presents two distinct bodies of knowledge: the first one is for service oriented computing based on a proposed life cycle that incorporates adaptation-specific phases. Each phase is discussed in depth, and methods, techniques and tools for it are presented. Furthermore, cross-phase aspects are investigated. The other body of knowledge concerns more traditional software engineering and business process methodologies, examined from the perspective of service based applications. A number of preliminary results on the synergy between the two areas are also presented as a stepping stone for the following deliverables.
CD-JRA-1.1.4 Coordinated design knowledge models for software engineering and service-based computing by Osama Sammodi — last modified May 17, 2010 15:59
In this deliverable, we discuss the need for the S-Cube life-cycle and the development of enhancements to support its implementation. We introduce the area of Service-Oriented Systems Engineering (SOSE) and discuss on how it is different from Traditional Software Engineering (TSE), while still recognising that both of these disciplines have important inputs to make to the development of Service-Oriented Systems. We progress with further development of the S-Cube life-cycle focusing on requirements, design and adaptation. From the requirements perspective, we investigate context-aware requirements discovery and specification, exploring whether existing models can be applied to improve requirements specification. From the design perspective, we suggest design principles and guidelines that are suitable to enable adaptation. From the adaptation perspective, we investigate SOSE and TSE to present practices for adaptation. Finally, we propose a unified formal model for dealing with the effects of iterative and localized changes between any two interacting service consumers and providers
CD-JRA-1.1.6 SBA engineering principles comprehensively exploiting HCI and Contextual Knowledge by Dustin Hebgen — last modified Jun 09, 2011 20:39
In this deliverable, we present the research that has been performed in the last year around the S-Cube life-cycle and some related service engineering aspects. Some of the presented contributions validate and extend the S-Cube life-cycle and integrate it with new knowledge about user tasks, inherited from the HCI literature, and context. A special attention is also posed to the problem of service evolution. The various facets of this evolution are considered and a formal framework that allows a definition of service compatibility is provided. A formal framework is also used as the basis for an approach that supports the design and runtime self-adaptation of SBAs. As one of the main goals of industry is to reuse their assets in order not to lose their investments, an important issue for the practical adoption of SBAs is to understand how migration from traditional to SBA systems can be achieved. In this deliverable we present a first step toward a systematization of this field.
CD-JRA-1.1.8 Validated SBA engineering principles exploiting HCI and contextual knowledge by Benedikt Liegener — last modified Oct 24, 2012 16:26
In this deliverable, we present research performed in the last year on SBA engineering principles exploiting human-computer interaction and contextual knowledge; the work reported here builds upon and consolidates previous work based on validation results. Some of the presented contributions use and validate the S-Cube lifecycle model in the context of cloud computing. Other contributions focus on service-based application adaptation and evolution through context modelling or a change management methodology. Further contributions focus on practices and challenges of service-oriented architecture migration in industry and contrast it with academic practices. Finally, some research contributions investigate challenges in global software development and the related opportunities and relationship that exist with service-oriented architectures.
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