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All Deliverables

by Andreas Metzger last modified Sep 25, 2009 14:18

A list of all deliverables in alphabetic order.

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-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.
CD-JRA-1.2.2 Taxonomy of Adaptation Principles and Mechanisms by Benedikt Liegener — last modified Jun 16, 2009 14:19
The deliverable presents the vision on the adaptation and monitoring research highlighting the research challenges, objectives, and an integrated adaptation and monitoring framework adopted within this workpackage. Starting from this framework, the refined conceptual models and taxonomies of SBA monitoring and adaptation are provided. The deliverable also demonstrates how the presented taxonomies are instantiated across functional SBA layers and involved research disciplines.
CD-JRA-1.2.4 Integrated adaptation and monitoring principles, techniques and methodologies across functional SBA layers by Osama Sammodi — last modified May 17, 2010 16:04
This deliverable aims to present the research progress of the project partners since the establishment of the baseline cross-layer adaptation and monitoring techniques and methodologies in deliverable PO-JRA-1.2.3. This progress was focusing on the integration of the different monitoring and adaptation approaches applied by the different layers of the service-based applications. The first integration results cover several aspects of the SBA life-cycle. These research results are presented through the summaries of joint papers of the project partners
CD-JRA-1.2.5 Comprehensive, integrated adaptation and monitoring principles by Dustin Hebgen — last modified Jun 09, 2011 20:49
This deliverable presents the research results obtained within the scope of workpackage WP-JRA-1.2 towards the comprehensive integrated adaptation and monitoring principles, techniques and methodologies across functional layers, proactive and context-aware adaptation. To bring the results together and to provide a coherent view on the different techniques using common realizing architecture a set of integration scenario has been defined and elaborated. Based on the integrated mode l defined in previous documents, these scenarios aim to define the reference architecture and approach relating various contributions, as well as to define the concrete interfaces and dependencies between them. The scenario presented in this deliverable refer to the some of the key research problems studied in the scope of the workpackage and the project, namely cross-layer quality driven monitoring and adaptation, proactive adaptation and context-aware monitoring and adaptation.
CD-JRA-1.2.7 Validated set of adaptation and monitoring principles, techniques and methods by Benedikt Liegener — last modified Oct 24, 2012 16:27
This deliverable aims to present the research progress of the project partners in the project’s last year. First, this deliverable puts special emphasis on the further refinements of the comprehensive adaptation and monitoring scenarios introduced in CD-JRA-1.2.5. Next, the research summarized in this document was focusing on the unexpected situations that could occur in cross-layer adaptation and monitoring techniques while they are maintaining context independent and HCI aware execution of large scale and heavily distributed service-based applications. The research results are presented through systematically listing and detailing the related research papers of the project partners. Finally, the deliverable offers an outlook on the future research directions in the field of adaptation and monitoring frameworks.
CD-JRA-1.3.2 Quality Reference Model for SBA by Benedikt Liegener — last modified May 19, 2009 10:10
The aim of this deliverable is two-fold. Firstly, it depicts the research vision of the workpackage, including the research challenges that will be addressed by the S-Cube consortium. Secondly, the deliverable aims at defining the S-Cube quality reference model. This reference model is intended to provide the S-Cube consortium with a unified terminology for describing different quality attributes of service-based applications. To this end, important quality models from service-oriented computing, business process management, grid computing and software engineering are analyzed. The quality attributes which are defined in these models and which are relevant for S-Cube are extracted and synthesized into the S-Cube quality reference model.
CD-JRA-1.3.3 Initial Concepts for Specifying End-to-End Quality Characteristics and Negotiating SLAs by Osama Sammodi — last modified May 17, 2010 16:05
The aim of this deliverable is two-fold. Firstly, it aims at defining the initial concepts for specifying and negotiating end-to-end quality, i.e., a service quality meta-model suitable for the definition and negotiation of service quality specifications and SLAs. The research method for creating this quality meta-model follows a design approach. Initially, requirements are collected dictating the information, structure, and constraints that this meta-model should capture. Then, based on these requirements, the meta-model is designed and finally created. Secondly, this deliverable aims at proposing a methodology for decomposing end-to-end quality into quality specifications for individual SLAs. The research method for achieving this goal follows a hybrid approach: a proof-of-concept and a paper-based approach. In particular, the meta-model’s effectiveness and sufficiency is highlighted by modeling a composite service negotiation scenario and its result, which is a decomposition of end-to-end quality into quality specifications of individual SLAs. Then, initial attempts (materialized in papers of WP members) are provided that address (composite) service negotiation.
CD-JRA-1.3.4 Initial Set of Principles, Techniques and Methodologies for Assuring Quality by Osama Sammodi — last modified Jan 18, 2011 14:29
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 an initial set of principles and techniques for assuring the end-to-end quality and of monitoring SLAs. 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-1.3.6 Validated principles, techniques and methodologies for specifying end-to-end quality by Benedikt Liegener — last modified Oct 24, 2012 16:24
The aim of this deliverable is to report the results of the fourth year of the S-Cube network on research topics related to proactive quality negotiation and assurance. This paper-based deliverable summarizes the network’s research results that have been published in books, journals, and conference proceedings.
CD-JRA-2.1.2 Initial Models and Mechanisms for Quantitative Analysis of Correlations Between KPIs, SLAs and Underlying Business Processes by Benedikt Liegener — last modified May 19, 2009 10:10
In this deliverable we present initial models and mechanisms for quantitative analysis of correlations between KPIs, SLAs and underlying business processes. We use service network (SN) models for quantitative analysis based on KPIs and SLAs, which enables strategic decisions for participants such as determination of optimal product prices or outsourcing decisions. In order to perform the analysis on the SN abstraction level and implement its results in operational business processes, SNs have to be connected to the BPM stack. We therefore introduce the SN4BPM architecture describing an enhanced BPM layering and lifecycle where SNs constitute a separate layer on top of the established BPM stack. In that context, we describe in particular a model-driven approach to generating abstract business process models from Service Network Models and vice versa. Finally, we deal with monitoring in the cross-organizational setting of service networks.
CD-JRA-2.1.3 Business Transaction Language by Osama Sammodi — last modified May 17, 2010 16:07
Application integration remains one of the core drivers of innovation in service engineering. Application integration serves as a means of developing service-enabled applications based on strategic technology capable of creating and successfully executing end-to-end business processes. The trend will be to move from relatively stable, organization-specific applications to integrated, dynamic, high-value ones where process interactions and trends are examined closely to understand more accurately application needs and dynamics. Such collaborative, complex end-to-end process interactions give rise to the concept of Service Networks (SNs) (see PO-JRA-2.1.1 & PO-JRA-2.1.2). This deliverable targets the concept of a business transaction and explores how transactional processes and process fragments fit in the context of a running scenario which deals with end-to-end processes in a service network that possess transaction properties. Conventional (ACID) and unconventional (application-based) types of atomicity are introduced, including contract, payment and delivery atomicity, in the frame of a business transaction model. The transaction model provides a comprehensive set of concepts and several standard primitives and conventions that can be utilized to develop complex Service-Based Applications (SBAs) involving transactional process fragments
CD-JRA-2.1.4 Analysis of Service Networks Modeling and Simulation by Dustin Hebgen — last modified Jun 09, 2011 20:54
In this deliverable we present our work on different aspects of Service Networks (SNs) in two parts. In the first part we discuss SNs fundamentals, presenting a life cycle of SNs that breaks down the creation, implementation, enactment, monitoring and optimization of a network into five distinct phases. Each of these phases interacts with different aspects of the S-Cube research framework. In this deliverable we focus on the initial, modeling and simulation phase of the life-cycle. The second part of the deliverable focuses on the application of simulation techniques to two interrelated types of network analysis: value and performance analysis.
CD-JRA-2.1.5 Modeling, Monitoring and Analysis of Business Transactions in Service Networks by Benedikt Liegener — last modified May 25, 2012 13:02
In this deliverable we present models and techniques for Business Aware Transaction Management in Services Network.
CD-JRA-2.1.6 Consolidation and Validation by Benedikt Liegener — last modified Oct 24, 2012 16:27
This deliverable presents the final research outcomes and an overview of the main research results procuded in the scope of the WP-JRA-2.1 during the S-Cube project. The first section introduces the research area and consolidates the research work carried out by the S-Cube partners in terms of the main research questions and challenges that have driven the research in this workpackage. It presents the progression of work through the project. The second part of the deliverable introduces new research results with respect to service networks, business transactions in service networks and business transaction management. Research methodologies cover several aspects such as modeling & analyzing service networks, transformation rules for correlating service network models to choreography models, recent developments to the Business Transaction Language (CD-JRA-2.1.3), a set of approaches enabling business transaction monitoring in distributed environments such as service networks and a set of frameworks for supporting and ensuring compliance, adaptability and reusability in end-to-end processes of service networks. We also present the approaches used to evaluate and validate the research findings. The research results are presented through the summaries of papers of the project partners.
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