The ESA Earth Observation Payload Data Ground Segment ...

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Distributed Processing Each MMFI center has been equipped with enoughprocessing nodes for all the center’s processing needs(NRT, systematic processing, mission reprocessing,etc.) In the particular case ofthe reprocessing campaignseach center uses itsprocessing capacity for alimited period of time On the other hand allMMFI centers are todayinterconnected via theODAD VPNMMFIProcessingResourcesHiSEENODADWANMMFIProcessingResourcesMMFIProcessingResources
Distributed Processing Capacity expansion<strong>The</strong> goal is then to implement a distributedprocessing solution that: reuses the same resources for different processingrequests use the remote processing resources toaccommodate temporary high loads, e.g. forreprocessing scenarios centralize and simplify M&C of jobs and resources easy upgrade of hardware when current resourcesare continuously under high load2008: Distributed Processing Capacity Study (DPCS)2009: Distributed Processing Capacity Operationalization(DPCO)
Page 1 and 2: The ESA Earth ObservationPayload Da
Page 3 and 4: Rationale for PDGS harmonization (1
Page 5 and 6: Ground Segment DecompositionSpecifi
Page 8 and 9: MultiMission Facility Infrastructur
Page 10 and 11: MMFI Main Functionality‣ Data Ing
Page 12 and 13: MMFI ArchitectureCentral Infrastruc
Page 14 and 15: MMFI Elements All MMFI Elements are
Page 16 and 17: MM PDGS benefits Lower cost & risks
Page 18 and 19: EO payload data processing needs EO
Page 22 and 23: DPCS The Distributed Processing Cap
Page 24 and 25: DPCS Solution Search Workload Manag
Page 26 and 27: DPC Structured Processing BusMMFI A
Page 28 and 29: DPC Conclusion Grid technology Rati
Page 30 and 31: G-POD ObjectivesProvide a “user-s
Page 32 and 33: G-POD History and Status 2002-2004:
Page 34 and 35: Improved Data AccessMM PDGS Future

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