Grid Applications Kai Zhang CMSC818S Distributed Telepresence The NEESgrid Earthquake Engineering Collabortory Grid 2 Chapter 6 Carl Kesselman Ian Foster Tom Prudhomme Collaboratories for Earthquake Engineering Sharing of both facilities and the resulting experimental data across the earthquake engineering community can enhance the utility of the experimental facilities and produce improved engineering results There is need for experts from the separate domains within the earthquake engineering research community to collaborate and share knowledge NEESgrid System Overview NEESgrid builds on standard Grid infrastructure Globus Toolkit NEESgrid spans five basic functional components Experimental facilities enhanced with collaborative tech Information management systems that enables the sharing of data Simulation systems and associated software repositories NEESgrid enabled user desktops provides users with access to the NEESgrid resources Support nodes maintain online knowledge bases NEESgrid System Overview NEESgrid Equipment Sites A wide variety of data acquisition and control systems are used at equipment sites ranging from commercial off the shelf systems i e LabView to fully customized systems Observing experiment via video or accessing measured values recorded by the sensors is called teleobservation Remotely controling the actuators used to drive the experimental platform is called telecontrol Teleobservation and telecontrol provide teleoperation of NEES equipment sites NEESPoP At each experimental facility NEESPoP NEES point of presence provides a standard set of Grid services Site status and configuration information published via monitoring and discovery service MDS Teleoperation services supporting streaming of observational data and remote control of actuators Teleobservation using NEESgrid streaming data services protocol NSDS Telecontrol using two phase transaction oriented protocol NEES Telecontrol protocol NTCP NEESPoP Collaboration services providing discussion forums electronic notebook and so on Metadata services and editing and publishing of metadata associated with experimental and simulation data Remote administration services including monitoring configuration management and software update Data access services based on the GridFTP protocol Summary NEESgrid increases the effectiveness of the major equipment investment in earthquake engineering NEESgrid provides system integration for integrating test equipments simulations data repositories and collaboration tools in earchquake engineering Scientific Data Federatin The World Wide Telescope Grid 2 Chapter 7 Alexander Szalay Jim Gray Virtual Observatory Virtual observatory World Wide Telescope is under construction in many countries Virtual observatory seeks to provide portals protocols and standards that unify the world s astronomy archives into a giant database integrated as a single intelligent telescope Federating datasets from multiple independent projects can make new discovery Web Services in the Virtual Observatory Many of the expected tasks in the Virtual Observatory map well to Web services In the Virtual Observatory most data will be remote therefore it make sense to move as much of the data processing as near the data as possible Required data may need to be created dynamically form its archived components Hierarchical Architecture Archives Web Services Store text images and raw data in files and schematized data in database Provide data mining tools and metadata for search and subsetting of data objects Archives provide Web service for on demand queries and file transfer service for data transfer Registries and Portal Each archive declares its services with one or more registries Registries will be used by portals which serve to answer user queries by integrating data form many archives Sample portals MAST GLU AstroGrid and SkyQuery Archives Present Data as Web Services The Virtual observatory and the Grid Data Networking and Computation Economics If query is small send to one of the archive servers If exceeds limits 10 hrs computation 1 planning is required Using Chimera virtual data toolkit built on Globus and Condor to help build digital sky survey can save a great deal of effort Outreach using the Virtual Observatory Virtual Observatory is also an excellent laboratory to teach computational science It presents a well documented spatial temporal and image database that is geographically distributed The Virtual Sky provides image navigation over the whole sky Summary Virtual Observatory is an outstanding Grid application involving the federation of many distributed astronomy data sources There is greater interest in cross correlating the datasets to find new phenomena Each project will likely publish a database externalized as a set of Web services Searches involving both spatial and time domain constrains are typical tasks for the Virtual Observatory
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