All Deliverables

A list of all deliverables in alphabetic order.

[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-1.1.3 Integrated Knowledge Model — by Osama Sammodi — last modified May 17, 2010 15:53

This deliverable describes the work carried out in producing the Integrated Knowledge Model required at this stage of the S-Cube Network of Excellence. The Integrated Knowledge Model is the evolution of the KM with major gaps, overlaps and inconsistencies in knowledge identified, analyzed and landscaped. The work carried out is presented through an analysis of the revisions and changes made to the KM terms. Nine Key Performance Indicators (KPIs) together demonstrate the KM's evolution, the progress made, the results of concentrating effort on the ``specialization'' of knowledge and how the public KM has been used by researchers from all over the globe.

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-2.1.2 Identification of Scientific Subjects and Partners for Mobility — by Benedikt Liegener — last modified Jun 16, 2009 14:17

The mobility of researchers within the S-Cube network of excellence is considered a stepping-stone to achieving the sustainable integration of knowledge and to align the research of the different S-Cube network partner institutions. To facilitate this, the S-Cube mobility program encourages researchers to spend time in one of the beneficiary’s institutes to exchange research ideas and carry out joint research through the reimbursement of travel and living expenses incurred whilst at the host institution. This deliverable aims to identify research areas and beneficiaries of the mobility program by analysing overlaps in the competencies of the S-Cube partner institutes and through the pro-active identification of suitable candidates for the mobility program, thereby encouraging researcher mobility between these partners.

CD-IA-2.1.3 Initial assessment of results of a separate mobility program for researchers and students — by Osama Sammodi — last modified May 17, 2010 15:54

This deliverable provides a preliminary evaluation of the effectiveness and efficiency of the S-Cube mobility program. Based on the results of the mobility stays performed in the first 18 months of the project, we analyze the how the scientific subjects for mobility and the S-Cube integration framework elements have been covered. We further analyze the synergy of competencies between partners and perform a quantitative evaluation based on a set of performance indicators. For each of the analyzed aspects we identify gaps which will be addressed in future mobility exchanges

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-2.2.2 Collection of Industrial Best Practices, Scenarios and Business Cases — by Benedikt Liegener — last modified Jun 16, 2009 14:17

The current document aims at presenting the case studies that we have been collecting so far and we consider most relevant to S-Cube. In particular, we focus on five cases as they, collectively, touch all the main points of interest within S-Cube. To make all case studies comparable and easily understood, we have defined a case study description approach that leverages from the results achieved by NEXOFRA and from the Requirements Engineering literature. The usage of such approach for revising and describing all cases has been very useful to highlight some weak aspects of the original descriptions and to identify those aspects in the case studies that cover the main points of interest for S-Cube.

CD-IA-2.2.4 Report on common Pilot Cases — by Osama Sammodi — last modified May 17, 2010 15:55

The current document aims at presenting the pilot case studies that we have been collecting so far and we consider most relevant to S-Cube. In particular, in this deliverable we harmonize and document the refinements of the case studies of deliverable CD-IA-2.2.2 with the scenarios proposed for validation as a joint effort with IA3.2. The aim is to provide a definition of the pilot cases that will be used as reference by the research work-packages. For each pilot case the related abstract scenarios are reported and their relationships with the Integrated Research Framework are highlighted

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-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-3.1.3 First Version of Integration Framework — by Osama Sammodi — last modified May 17, 2010 15:56

This document describes the first version of the S-Cube Integrated Research Framework (IRF). The main goal of the IRF is to define a coherent holistic framework that integrates the principles, techniques, methods and mechanisms provided by the joint research activities JRA-1 and JRA-2, and the results of the validation and empirical evaluation obtained from WP-IA-3.2. Aim of this deliverable is twofold. On the one hand, we introduce the main elements composing the IRF: views, research challenges, research questions, and research results. These elements are classified according to the perspectives introduced in the IRF baseline (i.e., conceptual framework, reference lifecycle, logical run-time architecture, logical design environment) and the terms included in the Knowledge Model. On the other hand, in order to support the management of the IRF, in this paper we also introduce the web application developed on purpose that forms integral and substantial part of this document

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-3.2.2 Results of the First Validation — by Osama Sammodi — last modified May 17, 2010 15:58

In this deliverable we present the vision and strategy of the workpackage WP-IA-3.2. This strategy foresees a rigorous method to validate the Integrated Research Framework (IRF). This validation is split into two aspects: an internal verification and an external validation. Given the fact that this is the first validation round, this deliverable concentrates on the internal verification. Therefore, the objectives of the workpackage specified in the description of work are broken down into goals, which are operationalized as questions. Each question is further refined as metrics, which is used to query the IRF database. Based on these quantitative data, we derive a set of recommendations for future work on the IRF and in the S-Cube project.

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-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.