General Architecture. The MCS should adhere to the Web Services Interoperability Organization Basic Profile version 1.1, and Basic Security Profile version 1.0. The MCS should support multiple languages and multiple currencies. • Service Provider should ensure it can deploy the appropriate skill sets and skill levels with respect to software or technology provided by third party vendors. • Service Provider should install transaction volume monitoring software and take action if expected levels are significantly exceeded.
General Architecture. Agent description: ID, role, physical characteristics... Non-verbal behavior Low-level interaction: Human motion Group formations High-level interaction: General interaction Goal generation Conversation content T1.2: Initial data collection Recorded data
General Architecture. 22 4.1 QUALITY AND APPEARANCE OF BUILDING EXTERIOR (SEP 2000).............................22 4.2 CONSTRUCTION WASTE MANAGEMENT (SEP 2000)...........................................22 4.3 EXISTING FIT-OUT, SALVAGED, OR RE-USED BUILDING MATERIAL (SEP 2000)(TSA SEP 2002)..
General Architecture. The main component in the scenario is the electric vehicle. It is equipped with a planning utility, which computes alternative routes that satisfy a given driver schedule. The vehicle invokes the planner at the beginning of a journey and once a planned route becomes infeasible. The vehicle communicates with a RouteSAM in order to determine a globally optimal route from the set of locally optimal route alternatives. The RouteSAM is responsible for the selection process. Once a route is chosen, the vehicle is expected to reserve a parking lot along the route. To reduce the complexity of the scenario, both charging stations and parking lots are combined into a single component called PLCS (Parking Lot / Charging Station). Hence, each parking lot has a charging facility assigned to it, allowing electric vehicles to recharge once they are parked. In order to find a suitable PLCS, the vehicle component queries its local planning utility. The planning utility computes locally optimal PLCS alternatives. Globally optimal PLCS selection is done again by a XXX xxxxx- nent, which is aware of the current occupancy and availability of PLCSs. Once an optimal PLCS is determined, the vehicle makes a reservation request, which is further processed by the PLCS. XXXx are responsible for managing global system goals with respect to traffic levels and PLCS occupancy. XXXx guide vehicles in their decision making process. They guide route and parking lot selection. It is assumed that a XXX is a stationary entity with a spatially limited scope of vehicle support, bounded to a particular region (map area). The range of a XXX may vary over time. In case of XXX failure, its neighbours extend their ranges to cover the area. XXXx aggregate global knowledge of the current state of the system, which is a result of the knowledge exchange between XXXx and other entities in the system. Global knowledge acquisition however, is out of the scope of this scenario. An assumption regarding such information availability is made beforehand. The driver component has been omitted in the implementation of the scenario. This is due to the fact that drivers and vehicle are coupled throughout the S0 scenario. Figure 14 depicts visually the main idea of the scenario including remote communication and levels of adaptation at each stage. Figure 14: Architectural overview of the e-Mobility scenario
General Architecture. The Home Operator receives data from the Local Operator which is normally a mobile network operator (“MNO”) in Country A. This general architecture for this service, which is based on mobile roaming, is depicted in the following diagram: Connectivity between MNOs for exchanging roaming traffic over a private IP network. All roaming traffic between different MNOs is sent over an IPX. An IPX is a private IP network and is governed by standards set by the GSMA. IPX Resiliency IPXs are highly resilient. There are multiple IPX providers in the world (including PCCW Global,) that are peered together. Typically an MNO will deploy multiple connections to an IPX. MNOs typically have two IPX providers for additional resiliency. Connectivity between Home Operator and Console Connect IoT Service platform. The Console Connect IoT Service platform itself is highly resilient, with two active nodes. The Home Operator is connected to each of the Console Connect IoT Service nodes, with leased lines to each node.
General Architecture. The exhibit below presents an illustration of the architecture of the resale product provided. E-mail server Security (anti-spam, …) Web site host server Internet CBL backhaul and core network End user The Reseller may request an interconnection with CBL network, so as to forward traffic from/to the Reseller’s retail customers (e.g. e-mail traffic) on a direct route. This interconnection will be at prices and conditions, which shall be negotiated outside this Agreement.
General Architecture. Identity-based security in a Web Services environment requires an identity infrastructure, where a requestor (service consumer) can interact with the different resources (service producers) in a secure way. From the producer’s perspective, it is important to distinguish who has to be identified properly; namely, the requestor itself, and also the user behind it. This leads to two generic models: • In the first case, the end user is identified at a client application which acts on behalf of the user requesting services from the appropriate service producers. Here a single statement can be used to properly identify the client application and the end user. Figure 15 shows an example workflow, where the user is authenticated at the Identity Provider (IdP). The client application at the host queries directly each resource including the user’s identity data (expressed in XXXX, and carried through SOAP). The AS is an Authorization Service, where the request can be properly validated (possibly, contacting Attribute Authorities for further information about the requestor).
General Architecture. The cloud definition of the endpoint is shown in Figure 5. The Environment is defined as a Docker image and executed in a Virtual Machine (VM) or computing instance. The model is loaded from the Azure Blob Storage to the model section of Azure Machine Learning Studio. The endpoint is then ready to run. The PLC carries out the API REST call and the endpoint sends back the recommendation/action for the control system. <.. image(Diagrama Descripción generada automáticamente con confianza baja) removed ..>
General Architecture. The general architecture of CR-PLAY mixed pipeline is represented in Figure 2. From a high level point of view, the pipeline is composed of software modules that handle image and video based rendering data from capture to (edit and) play phase, passing through reconstruction.
General Architecture. The exhibit below presents an illustration of the architecture of the resale product provided. E-mail server Security (anti-spam, …) Web site host server Internet CBL backhaul and core network End user
