This deliverable, called Access ArchitectureDefinition Document, makes a summary of the research results that have been achieved in the ReDeSign project on the next generation HFC research. During the 2,5 year project all aspects of an evolution of the cable network has been analyzed and reported in different deliverables. First the requirements of the evolu- tion of the HFC network, called Next Generation HFC, have been defined based on a ques- tionnaire that has been answered by a lot of European cable operators and by interaction with cable operators on MSO forum meetings. A cable network makes use of two different transmission media, fiber and coax. For both technologies a detailed analysis has been per- formed during the project to define the most optimal technology for the realization of the next generation HFC network. Possible topologies for the creation of the NG-HFC network have been studied and discussed. In case of a shared medium, such as an HFC network, also the MAC protocol is rather important to enable efficient transmission and utilization of the net- work. Different MAC protocols used in the world to manage shared medium networks have been analyzed and compared. Operators do not only consider technology and performance for choosing a migration path towards the future, but also cost is a driving element. Within this project a cost analysis has been performed on existing HFC networks, and compared this with existing GPON FttH technology. In this deliverable all these aspects are summa- rized, for a more detailed analysis the reader is referred to previous deliverables of the pro- ject.
The CDDLM Component Model  outlines the requirements for creating a deployment object responsible for the lifecycle of a deployed resource with focus on grid services. Each deploy- ment object is defined using the CDL language. The model also defines the rules for managing the interaction of objects with the CDDML deployment API. Though the type of deployment object is not suited to virtual machine management, the relationship be- tween objects and the deployment API can be compared to our ap- proach we have undertaken here, providing a semantic definition for the CDL language. However in our case the relationship be- tween domain and syntactic models is performed at a higher level of abstraction, relying on OCL to provide behavioural constraints. Our specification is hence free of implementation specific concerns. The general approach to dynamic and automated provisioning may also be compared to the self-managing computing systems associated with autonomic computing research . While our approach to elasticity is explicit, in that providers define appro- priate scaling rules based on an event condition action model, we
The network operator has now at his disposal a series of DiffServ (essentially data-plane) building blocks, enabling him to implement relative packet differentiation. However, it is not clear yet how “real” customer services, such as interactive multimedia including voice over IP, can be build on top of this. The DiffServ architecture has some shortcomings at this time. Deploying QoS sensitive customer applications over the Internet requires a clear and unique concept of services, service classes and the related technical “IP-parameters” describing these services and their guarantees. Once the service demands imposed on the network are clearly expressed, advanced “QoS networking” comes into play for coping with these (ever-changing) demands. In order to provide end-to-end quantitative service guarantees, both across single and multiple Internet Service Providers (ISPs), the network architecture should be augmented with intelligent network dimensioning, operational and management functions. This boils down to a fully QoS-aware dynamic inter-working between the Management, Control and Data-plane functions.
Metering is provided as a DBE core service. It is a generic solution which will enable the SME to record usage of their services deployed in the DBE for charging or other measurement purposes. Based on the web service metering reference model discussed in W36.1, the metering architecture takes advantage of the filter functionality provided by the ServENT 2 where all messages passing through the ServENT can be interpreted by a
More important is the question of the limitations of the approach. In terms of the graphical editor itself, the API offered by JointJS as well as exploiting its capabilities through a model driven approach, we see no serious constraints. In this regard, JointJS provided a lot of features we had expected. Nonetheless we analyzed a few limitations while developing the editor. For example, JointJS currently does not support the definition of complex connection elements or an easy integration of layouting algorithms. Finally, the JointJS API allows a few things that surprisingly have no effect on the generated graphical editor. This makes working with JointJS partially very difficult and is a hindrance. In addition, documentation is incomplete and new releases often result in code breaking API changes. This leads to some workarounds that we used to realize some features.
An architecture must be described in sufficient detail and in an easily accessible form for developers and other stakeholders. The architecture is one of the major mechanisms that allow stakeholders to communicate about the properties of a system. Architecture documentation determines what views of software are use- ful for the stakeholders, the amount of detail required, and how to present the information efficiently. Agile methods agree strongly on a central point: “If in- formation is not needed, do not document it”. All documentation should have an intended use and audience in mind, and be produced in a way that serves both. One of the fundamental principles of technical documentation is “Write for the reader”. Another central idea to remember is that documentation is not a monolithic activity that holds up all other progress until it is complete. With that in mind, the following is the suggested approach for describing software archi- tecture using agile-like principles :
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The new architecture involves integration of sensor network and high definition camera in the field to effectively connect farmers-field-experts instead of farmers or experts directly accessing the field is shown in figure 1. The need to process the field information in real time monitoring leads to this implementation in hardware level. FPGAs are used in modern agriculture application. Field conditions are continuously monitored by the wireless sensor and camera equipment. Sensors are used to provide the current status of environmental conditions. Plant leafs are observed by image feature extraction and processing algorithm.
The first prototype of the new architecture has been developed and the first tests were successful. Now, in order to further develop and optimize the new system, a set of additional steps need to be performed. A set of connection tests will be run to measure the performance of the new access system compared to the one currently used in ATLAS. After that, based on the achieved results, the new system will be tested within the ATLAS framework, as a potential replacement of the existing mechanism, to load and build geometry data in jobs which only needs to perform read-only operations on the detector description.
The goals of the experts’ interviews are to define the interface requirements: identify the preliminary range of queries, discuss the interface preferences and initiate the drafting of feedback loops options. The definition of the interface requirements will have cascading effects on the definition of the query manager, KG and IE requirements. The interviews are also an opportunity to raise awareness on the topic of AI based HMI for space mission design. The experts will be informed on the advantages that an AI-agent could bring to their daily work life in the context of CE studies. It will also be critical for the DEA team to fully understand the CE study process and how the assistant could be integrated to it. In this context, passive attendance to ESA CE studies will be organised during fall 2018.
• Development using a PaaS environment requires a number of major changes regarding the architecture design and software development approach. Firstly, statelessness is a requirement for resources such as VMs to be deployable without data. Secondly, as a consequence, data externalisation is required to pre- pare for scale-out, which necessitates externalisation for an efficient management of elasticity requirements. • Another aspect apart from statelessness and data externalisation is no-SQL data representation. Most applications are developed around a relational repre- sentation of data in SQL-based databases. Data to be migrated also needs to be analysed in terms of its correctness and relevance. Validation and cleaning can avoid irrelevant, outdated and incorrect data to be mi- grate and using unnecessary resources. Furthermore, legacy systems management including component de- commissioning is an architectural concern.
The openEHR foundation  publishes comprehen- sive open specifications for a flexible Electronic Health Record architecture. It started in the early 1990s, based on the results of the European Union ’ s GEHR-Project. Over the last few decades the specifications have been refined in many different projects. openEHR introduced a reference model and – on top of this – clinical models (so-called archetypes) for the definition of shareable CIMs. openEHR provides tools that make it possible to define archetype models in an international collaborative approach. The resulting shareable CIMs have been published in an online repository . The international
Product Line Aspects. The task of finding out whether a given, partial reference architecture is compatible with a new set of requirements is significantly more difficult than to judge that for a one-of-a-kind architecture. Ensuring that an addition does not break any of the possible instances of the architecture is a highly complex task, especially when it involves dealing with entities that could not be encapsulated properly. It is noteworthy that this problem is not only relevant for architecture creation but also for maintenance. We are not aware of any published guidelines on how this problem should be addressed.
Over the past decades, scientists have reached consensus on an exclusive definition of osteoporosis, which was instrumental in developing clinical protocols for early diagnosis and tailored treatment. Sarcopenia, a much younger term, was first used in 1988 to describe the deficiency of muscle tissue often observed in older age (1). The term sarcopenia is still largely unknown among clinicians and researchers. Identifying and treating sarcopenia is becoming increasingly important, since research has shown that low muscle mass is associated with functional and cognitive impairment (2-4) and increased mortality (5). After the age of 50 years, an average annual decline of 1 to 2 percent of muscle mass has been reported (6), leading to a 50 percent reduction of muscle mass among those aged 80 years and older (3). It is estimated that a 10.5 reduction of the prevalence of sarcopenia could lead to a reduction of healthcare costs by 1.1 billion US dollars per year in the United States (7). However, the prevalence and measurable impact of sarcopenia depends crucially on how sarcopenia is defined. A proper definition is the necessary base for clinical diagnosis and development of tailored treatment.
 A third element of the atheist position is the psychological attitude of the atheist himself: atheism is considered to be an intellectual and explicit choice. I hinted on this matter above in discussing the thesis by Le Poidevin: simply living a life without God is not sufficient to call someone an “atheist.” Let me illustrate this with an example. Suppose someone tells us: “God? I do not know what that means. I have never thought about the matter.” How should we characterize this view? Is the person expressing this view an “atheist”? Many of us will waver and rightly so. What this person lacks is a conscious intellectual commitment; it would be strange to characterize this person as an “atheist.” That is why children by definition cannot be “atheists,” as Holbach once proclaimed they were. People who have never thought about God are pagans perhaps, not atheists.