2 nd DEGREE workshop on "Grid Portals and Data Management techniques for Earth Science Applications", June 14-15, 2007 Pula (Cagliari) Italy giuditta:

Presentazione sul tema: "2 nd DEGREE workshop on "Grid Portals and Data Management techniques for Earth Science Applications", June 14-15, 2007 Pula (Cagliari) Italy giuditta:"— Transcript della presentazione:

1 2 nd DEGREE workshop on "Grid Portals and Data Management techniques for Earth Science Applications", June 14-15, 2007 Pula (Cagliari) Italy giuditta: la figura rappresenta il rapporto fra subsidenza (abbassamento verticale al suolo) in corrispondenza del pozzo di estrazione per diversi valori di conducibilita’ degli strati sfruttati sia isotropa (pallina & quadrato) che anisotropa (rombo). Si vede che il modello disaccoppiato sovrastima sempre la subsidenza (rapporto > 1) ma l’effetto decresce col tempo fino a sfumare a regime. Inoltre si vede che se si aumenta la permeabilita’ idraulica diminuisce la discrepanza fra i due modelli (rapporto tende a 1). Se esiste una anisotropia che favorisce una dissipazione del fluido in una direzione preferenziale tale rapporto diminuisce. Il rapporto suddetto e’ una misura degli effetti di accoppiamento. giuditta: la figura rappresenta il rapporto fra subsidenza (abbassamento verticale al suolo) in corrispondenza del pozzo di estrazione per diversi valori di conducibilita’ degli strati sfruttati sia isotropa (pallina & quadrato) che anisotropa (rombo). Si vede che il modello disaccoppiato sovrastima sempre la subsidenza (rapporto > 1) ma l’effetto decresce col tempo fino a sfumare a regime. Inoltre si vede che se si aumenta la permeabilita’ idraulica diminuisce la discrepanza fra i due modelli (rapporto tende a 1). Se esiste una anisotropia che favorisce una dissipazione del fluido in una direzione preferenziale tale rapporto diminuisce. Il rapporto suddetto e’ una misura degli effetti di accoppiamento. Shared Resources Manager for Environmental Data Analysis and Applications (GRIDA3) A three-year project with CRS4 (coordinator), NICE srl and University of Cagliari (CINSA, DIGITA, DISTER, DIT) GRIDA3 is an interdisciplinary project recently funded by the Italian Research Ministry (Progn. 1433/2006 MIUR FAR D.Lvo 297/99) and the Sardinian Regional Authorities. Land monitoring, managing and planning are today being configured through networks of interests which, for instance, classify the territory in homogeneous ambits, collect geographic and non-geographic data, distribute certified data and edit predictions and analyses. Autonomous functional centers, nodes of the network, sometimes belonging to different agencies, administrate computing services and large-scale acquisition systems, maintain the knowledge of the territory, archive environmental and anthropic data, run application software, forecast events and operate decision support systems. As a matter of fact, the grand challenges of environmental sciences require computing power, sensing devices and storage capacity that hardly a single organization, public or private, might acquire. Designed to provide a holistic description of environmental problems and practical answers to questions of central importance, GRIDA3 will result in an advanced problem-solving tool for the integration -through a computing portal- of human know-how, simulation software, instrumentation and resources for data communication, storage, visualization, and computation. The project will supply a Grid infrastructure for collaborative work, built for the sharing of data and applications located at multiple sites across federated domains in Sardinia, public and private. GRIDA3 is an interdisciplinary project recently funded by the Italian Research Ministry (Progn. 1433/2006 MIUR FAR D.Lvo 297/99) and the Sardinian Regional Authorities. Land monitoring, managing and planning are today being configured through networks of interests which, for instance, classify the territory in homogeneous ambits, collect geographic and non-geographic data, distribute certified data and edit predictions and analyses. Autonomous functional centers, nodes of the network, sometimes belonging to different agencies, administrate computing services and large-scale acquisition systems, maintain the knowledge of the territory, archive environmental and anthropic data, run application software, forecast events and operate decision support systems. As a matter of fact, the grand challenges of environmental sciences require computing power, sensing devices and storage capacity that hardly a single organization, public or private, might acquire. Designed to provide a holistic description of environmental problems and practical answers to questions of central importance, GRIDA3 will result in an advanced problem-solving tool for the integration -through a computing portal- of human know-how, simulation software, instrumentation and resources for data communication, storage, visualization, and computation. The project will supply a Grid infrastructure for collaborative work, built for the sharing of data and applications located at multiple sites across federated domains in Sardinia, public and private. OR2 OR2 ClientGrid Portal Grid Web BrowserCRS4 Portal Access Administration Services System Admin Linux Any OS Operating System Hardware PC, WS, Laptop,...Server, Web FarmCluster, servers,... VNC,... GUI applications SRB/iRODS/gLite Data Management App. & Data Integr. Genius/EnginFrame/WebGIS SRB/iRODS/RDB MetaData Analysis-reporting AAA gLite/OS/NISPresentation Workload Mgmt LSF/gLiteMonitoring Aggregating Infrastructure for Environmental Solutions Environmental issues make necessary a strong integration of expertise from different disciplines through the development of virtual organizations of federated entities, based on n advanced IT technologies n new problem solving models each one with common interests and objectives, capable to provide high value-added products and/or services turned to implement environmental quality systems n Policies, processes and procedures required for planning and execution of remediation actions in compliance with EU regulations and set up a shared knowledge base. Environmental issues make necessary a strong integration of expertise from different disciplines through the development of virtual organizations of federated entities, based on n advanced IT technologies n new problem solving models each one with common interests and objectives, capable to provide high value-added products and/or services turned to implement environmental quality systems n Policies, processes and procedures required for planning and execution of remediation actions in compliance with EU regulations and set up a shared knowledge base. Real Collaborations and Virtual Organizations Working Group 2: monitoring, planning and sustainable water resource management Working Group 3: information systems for the analysis of integrated environmental and territorial data Working Group 1: short term prediction of extreme events A Grid is an infrastructure that allows the integrated and collaborative use of virtualized resources  Data servers  Computational servers  Connecting networks  Numerical applications  Information systems owned and managed by one or more organizations A Grid is an infrastructure that allows the integrated and collaborative use of virtualized resources  Data servers  Computational servers  Connecting networks  Numerical applications  Information systems owned and managed by one or more organizations The virtual organization acts as the Grid provider while each partner becomes the recipient of the Grid services Cost-Effective Problem-Solving Cycle Data conceptualization Simulation phase Data Interpretation Remediation assessment The Grid as a Telematic Network Application layer Middleware layer An infrastructure that supports a number of specific capabilities… Fast and secure network embedded in a telecommunication infrastructure Uniform access to remote data and computational resources Security access authorization and policy-based authorization Interoperability of distributed applications using different software components Discovery of suitable datasets and computational resources across the network Mapping and scheduling of tasks Automatic launch of computational tasks by applications Remote storage and replication of datasets Metering/estimating resources usage for calculating the price of the provisioned services Network and resource layer …on three architectural layers