logging in or signing up servicechallenges Nevada Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 41 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 31, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript LHC Computing Grid Project - LCG: LHC Computing Grid Project - LCG Service Challenges Why, What, How 27 May 04 Les Robertson – LCG Project Leader CERN – European Organization for Nuclear Research Geneva, Switzerland firstname.lastname@example.org Adapted from presentation by Ian BirdService Challenges: Service Challenges Purpose Understand what it takes to operate a real grid service – run for days/weeks at a time (outside of experiment Data Challenges) Trigger/encourage the Tier1 & large Tier-2 planning – move towards real resource planning – based on realistic usage patterns Get the essential grid services ramped up to target levels of reliability, availability, scalability, end-to-end performance Set out milestones needed to achieve goals during the service challenges NB: This is focussed on Tier 0 – Tier 1/large Tier 2 Data management, batch production and analysis Short term goal – by end 2004 – have in place a robust and reliable data management service and support infrastructure and robust batch job submission Ian Bird – email@example.comService challenges – examples : Service challenges – examples Data Management Networking, file transfer, data management Storage management and interoperability Fully functional storage element (SE) Continuous job probes Understand limits Operations centres Accounting, assume levels of service responsibility, etc Hand-off of responsibility (RAL-Taipei-US/Canada) "Security incident" Detection, incident response, dissemination and resolution User support Assumption of responsibility, demonstrate staff in place, etc VO management Robust and flexible registration, management interfaces, etc Etc. Ian Bird – firstname.lastname@example.orgData Management – example : Data Management – example Data management builds on a stack of underlying services: Network Robust file transfer Storage interfaces and functionality Replica location service Data management tools Ian Bird – email@example.comData management – 2 : Data management – 2 Network layer: Proposed set of network milestones already in draft Peter Clark, David Foster, Harvey Newman File transfer service layer: Move a file from A to B, with high reliability and target performance This service would normally only be visible via the data movement service Only app that can access/schedule/control this network E.g. of this is gridftp, bbftp, etc. Reliability – the service must detect failure, retry, etc. Interfaces to storage systems (SRM) The US-CMS/CERN “Edge Computing” project might be an instance of this layer (network + file transfer) Ian Bird – firstname.lastname@example.orgData management – 3 : Data management – 3 Data movement service layer: Builds on top of file transfer and network layers To provide an absolutely reliable and dependable service with good performance Implement queuing, priorities, etc. Initiates file transfers using file transfer service Acts on application’s behalf – a file handed to the service will be guaranteed to arrive Replica Management Service: Makes use of data movement Maintains distributed grid catalogue Ian Bird – email@example.comJob probes – example : Job probes – example Continuous flood of jobs Fill all resources Use as probes – test if they can use the resources Data access, cpu, etc Understand limitations, bottlenecks of the system Baseline measurement, find limits, build and improve This might be a function of the GOC Overseen by RAL-Taipei-+ collaboration ? A challenge might run for a week Outside of experiment data challenges In parallel (or part of) data management or other challenges Ian Bird – firstname.lastname@example.orgSummary: Summary Service challenges: Understand what it really takes to operate reliable and performant services Put in place underpinnings of a reliable infrastructure by the end of the year Requires: Agreed milestones Commitment of resources and people Ian Bird – email@example.com You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.