Subsystems. The Content Cloud Framework (CCF) is an instance of D-NET configured for PARTHENOS. Thanks to the D-Net modularity, the CCF can be constructed by selecting and configuring the D-NET sub-systems and services that are needed to satisfy the requirements of PARTHENOS among those available in Figure 14, namely: • Workflow Manager and Orchestration System: for the execution of aggregation workflows in autonomicity; • Data Source Management System: for the management of dynamic data sources (i.e. data sources that can join/leave the infrastructure at run-time); • Data Collection System: services to collect metadata and resources according to different models, formats via different exchange protocols; • Data Transformation System: services to transform metadata from an original model to the Parthenos data model; • Data Provision System: services that interface external applications, e.g. end-user portals, third-party services, with resources and metadata in the Content Cloud.
Subsystems. Other subsystems shall be warranted to be free from Defects and Related Defects for one year or 20,000 kms, whichever is later. Other subsystems are listed below: • Brake system: Disc brake components • Start Button • Fuel storage tank and delivery system • Other mechanical and electrical system Extension of Warranty: If, during the warranty period, repairs or modifications on any scooty are made necessary by defective design, materials or workmanship but are not completed due to lack of material or inability to provide the proper repair for thirty (30) calendar days, the applicable warranty period shall be extended by the number of days equal to the delay period.
Subsystems. 2.4.3.1. Data Miner System The Data Miner System’s goal is to offer a unique access for performing data mining or statistical operations on heterogeneous data. These data can reside on the client side in the form of CSV files or they can be remotely hosted, as SDMX documents or, furthermore, they can be stored in a database. The Data Miner System is composed by a service, namely Data Miner service, able to take such inputs and execute the operation requested by a client interface, by invoking the most suited computational infrastructure, choosing among a set of available possibilities: executions can run on multi-core machines, or on different computational infrastructures, like the PARTHENOS, Windows Azure, CompSs and other options. Algorithms are implemented as plug-ins which makes the injection mechanism of new functionalities easy to deploy. Key Features Openness Interaction with external software supporting Standard protocols. Parallel Processing Support for the execution of algorithms on multi-core computational nodes. Distributed Processing Transparent distribution of the execution on sets of computational nodes . State-of-the-art data mining algorithms General purpose algorithms (e.g. Clustering, Principal Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service. Architecture
Subsystems. Subsystems" or "public safety radio subsystems" means systems identified in the plan or a plan developed under section 403.36 as subsystems interconnected by the system backbone and operated by a regional radio board or local government units for their own internal operations.
Subsystems. Simultaneously with the delivery of the Licensor Designs set forth on Schedule A on the time frames set forth in Schedule B, Licensor shall provide to Licensee six (6) subsystem enclosures (twelve (12) carriers, no disk drives) for each released Licensor Design, at Licensee’s expense at commercially reasonable rates, equivalent to 57% discount from Licensor list price per enclosure (engineering sample enclosures are acceptable if GA subsystem enclosures are not yet available at the time).
Subsystems. The D-Net framework is composed of services that can be grouped in layers and categories based on the functionality they provide. The enabling layer includes component for the correct operation of the aggregative infrastructure and are available in every instance of D- Net. Components and services in the data management layer are, instead, selected and configured to address specific requirements. It is possible to group services and components in four main categories, as depicted in Figure 14: • Mediation area: services and components that support and implement data collection processes. • Storage area: services and components for storing data and metadata. Different storage options are available out-of-the-box. For PARTHENOS, the selected services are the MDStore, a storage service based on the MongoDB technology, for the storage of metadata records, and the Index, used by the D-Net curation tool called “Metadata Inspector” (see Figure 22 and Deliverable 6.4 “Report on Services and Tools” for details on the curation tool). • Manipulation area: services and components that implement data manipulation such as transformation, harmonisation, de-duplication, and validation. For PARTHENOS the Transformator service was selected and enhanced to support the execution of mappings in X3ML format. • Provision area: services and components that interface external applications, e.g. end-user portals, third-party services to the aggregated content. For PARTHENOS, the SPARQL endpoint offered by a Virtuoso server, and the OAI-PMH Publisher, based on the MongoDB technology, have been selected and configured. • In the next subsections, some of the most D-Net relevant services and components are described, highlighting the configuration and extensions that have been applied during the PARTHENOS project.
