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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-1.2.2 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-2.1.6 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.
CD-JRA-2.2.2 Models and Mechanisms for Coordinated Service Compositions by Benedikt Liegener — last modified May 19, 2009 10:11
This deliverable describes the research roadmap and initial research work in the context of models and mechanisms for coordinated service compositions. It provides the foundations for the research in the WP JRA-2.2 by establishing a preliminary framework for QoS-aware adaptable service compositions. We present initial research results in some areas of this framework, in particular on models of service compositions, top-down development, and monitoring and adaptation of service compositions. The work will be continued and extended in the follow-up deliverables.
CD-JRA-2.2.3 Algorithms and Techniques for Splitting and Merging Service Compositions by Osama Sammodi — last modified May 17, 2010 16:08
This deliverable investigates techniques for split and merge of service compositions, with the emphasis on approaches that aim at optimizing costs and performance of service compositions in out- and insourcing scenarios. The deliverable provides classification criteria applicable to any split technique in the state of the art, and some novel techniques that are classified accordingly. Moreover, the deliverable presents exploratory work on merge of service compositions.
CD-JRA-2.2.4 Models, Mechanisms and Protocols for Coordinated Service Compositions by Dustin Hebgen — last modified Jun 09, 2011 20:56
This deliverable describes models, mechanisms and protocols for coordinated service compositions. We present research results in some areas of this framework, in particular on models of service compositions, monitoring and adaptation of service compositions. The deliverable positions the individual contributions with regard to the reference lifecycle model. The work will be continued and extended in the follow-up deliverables.
CD-JRA-2.2.5 Derivation of QoS And SLA Specifications by Dustin Hebgen — last modified Jun 09, 2011 20:56
This deliverable describes and presents contributions related to the mechanisms and algorithms for derivation of QoS/SLA specifications for services and service compositions.
CD-JRA-2.2.6 Mechanisms and Techniques for QoS-Aware, Coordinated Service Compositions by Benedikt Liegener — last modified Oct 24, 2012 16:28
This deliverable presents the contributions to technical foundations of self-configuring, adaptive, QoS-aware service compositions. The contributions deal with monitoring and analysis of service compositions and choreographies and their QoS characteristics in the scope of cross-organisational business processes. The role of QoS characteristics of service compositions are considered in the scope of Quality Assurance and thus foster integration with other workpackages.
CD-JRA-2.3.3 Requirements for Service Registries in Dynamic Environments and Evaluation of Existing Service Registries by Benedikt Liegener — last modified May 19, 2009 10:13
Web service registries are tools for the implementation of loosely-coupled service-based systems. For instance, business processes query registries in order to find services which implement functionality that is needed in the process, and adaptable service compositions need to be aware of which alternatives are available for each service. Furthermore, there is a clear interrelation between end-to-end quality provisioning and monitoring, and service registries, since SLA monitoring and enforcement is based on the availability of a service repository providing an expressive set of metadata. Even more, with the advent of the Internet of Services, an Internet-scale Web service ecosystem with unique scale and heterogeneity characteristics, a number of new challenges for the next generation of Web service registries will arise. First of all, the sheer size of the ecosystem (in terms of number of clients, providers and services) will cause a need for new scalable service discovery mechanisms built on the notions of the Internet. This includes not only discovery of atomic services, but also of task flows (ad hoc service mashups). Additionally, the distributed and heterogeneous nature of the Internet of Services asks for new data dissemination methods between physically and logically disjoint registry entities, which work in spite of missing, untrusted, inconsistent and wrong data. Further challenging requirements are going to be put forward by mobile, human-provided and ad hoc services, which are common in the Internet of Services. These services are volatile in nature, and need to be actively tracked by the service registries. Finally, another class of challenges is introduced by the human factor in the Internet of Services -- since services are often consumed and provided by humans, new means of evaluating service performance based on user-perceived and fuzzy Quality of Experience metrics need to be devised. In this deliverable we describe these requirements for the next generation of service registries for large-scale service environments in detail, and explain why we consider existing registry approaches as not sufficient for these environments. The deliverable provides the baseline research topics to be covered by the ``registry segment'' of the work package WP-JRA-2.3 in S-Cube; research questions steering the second part of the work package focussing on adaptation are described within the deliverable CD-JRA-2.3.2.
CD-JRA-2.3.2 Basic Requirements for Self-Healing Services and Decision Support for Local Adaptation by Benedikt Liegener — last modified May 19, 2009 10:12
One of the goals of S-Cube is to look for general solutions by integrating research agendas from diverse research areas, such as business processes, service-oriented and grid computing. The world of web services already provides solutions for complex user tasks. The web service model is based on three actors: a service provider, a service requester and a service broker. There are also well established and widely used technologies that enhance the collaboration of these three parties to fulfil service executions required by users. The newly emerging demands of users and researchers call for expanding this service model with business-oriented utilization (agreement handling), support for human-provided and computation-intensive services. This evolution also affects the service infrastructure; new components appear that need to provide self-* operation. The purpose of this document is to capture the basic requirements for self-healing and decision support in service execution, deployment and runtime management for services including core services such as discovery and registries. Concerning service execution, we describe what kind of functionalities and tools should be provided at the infrastructure level in order to be able to implement a self-healing service. We restrict the scope of this document to the adaption of one service, not of a coordinated set of services. Concerning deployment and run-time management, we envision a conceptual architecture for SLA-based on-demand service provisioning and, based on this framework, three main functionalities are separated: negotiation, brokering and deployment. The document investigates the requirements in details for each of these fields. This document mainly addresses Threads C1 and C2 of the WP 2.3 research architecture and partly applies to A1 and B1. See also the companion deliverable CD-JRA-2.3.3 which addresses service discovery and registries (Thread A2, A3, B2 and B3). C3 will be addressed in deliverable CD-JRA-2.3.8.
CD-JRA-2.3.4 Decision Support for Local Adaptation by Osama Sammodi — last modified May 17, 2010 16:09
This deliverable is aimed at summarizing the joint research in WP-JRA-2.3. related to decision support for local adaptation. It is an intermediate stage on the research roadmap, starting from issues of local adaptation and self-healing (CD-JRA-2.3.2) to the most complex case involving distributed multi-level adaptation (CD-JRA-2.3.8), where we investigate and integrate certain methods and techniques incrementally. The work is based on and motivated by the antecedent deliverable ''Basic requirements for self-healing services and decision support for local adaptation'' (CD-JRA-2.3.2) and is focused on local adaptation and decision which we consider one of the most important ways to investigate the applicability of certain policies to trigger local adaptation mechanism, and is organized around the general adaptation framework introduced in CD-JRA-2.3.2. Results are presented in 10 published papers that constitute the core contribution of this deliverable. The work is positioned within the Integrated Research Framework (IRF, WP-IA-3.1), internal WP-JRA-2.3 research architecture and overall WP-JRA-2.3 goals and visions.
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