The Grid Analysis Environment WorkPlan in Association with the PPDG Proposal

prototype and define a plan for deploying, developing and integrating ARDA services within the context of the Grid Analysis Environment work. Within ARDA, the Grid Analysis Environment [GAE] work has been identified by CMS, as vital in creating a distributed analysis environment. Requirements for in...

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Bibliographic Details
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2004
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.4429
http://www.ppdg.net/docs/Papers/proposal%20GAE.pdf
Description
Summary:prototype and define a plan for deploying, developing and integrating ARDA services within the context of the Grid Analysis Environment work. Within ARDA, the Grid Analysis Environment [GAE] work has been identified by CMS, as vital in creating a distributed analysis environment. Requirements for interfaces between Grid services and CMS metadata services, CMS data model for distributed analysis will be defined within a comprehensive work-plan. The Grid-Enabled Analysis Environment (GAE), in its final form will represent an end to end system for scalable distributed multi user (batch and interactive) analysis, in which Clarens web service hosts [CLAR] will be the backbone, on which services are deployed. Due to the distributed dynamic environment that GAE represents, the (web) server has to become a more active participant in this environment. Specifically seeking out server peers through lookup services and in turn advertising those services, such that users (and services) can dynamically discover services and resources within the GAE environment [HOS], This also implies more active internal state management of sessions, connections, as well as policy enforcement on resource usage. In tandem with the base functionality outlined above, specific services will be developed as part of the GAE, as well as the client applications that make use of these services. Specific emphasis will be given to interacting with the ROOT analysis framework [ROOT] , the CMS COBRA/ORCA framework