Presentation on theme: "“ National Knowledge Network and Grid"— Presentation transcript:
1“ National Knowledge Network and Grid - A DAE Perspective ”B.S. JagadeeshComputer DivisionBARC.Discuss as to how they have influenced the development of Novel Applications in general and at BARC in particular.India and CERN: Visions for future Collaboration /March/2011
2Our Approach to Grids has been an evolutionary approach Anupam SupercomputersTo Achieve Supercomputing SpeedsAt least 10 times faster than the available sequential machines in BARCTo build a General Purpose Parallel ComputerCatering to wide variety of problemsGeneral Purpose compute nodes and interconnection networkTo keep development cycle shortUse readily available, off-the-shelf components
7We now have , Large tiled display Rendering power with distributed renderingScalable to many many pixels and polygonsAn attractive alternative to high end graphicssystemDeep and rich scientific visualization system
8Post-tsunami: Nagappattinam, India (Lat: 10.7906° N Lon: 79.8428° E) This one-meter resolution image was taken by Space Imaging's IKONOS satellite on Dec. 29, 2004 —just three days after the devastating tsunami hit.1M IKONOS Image Acquired: 29 December 2004 Credit "Space Imaging"
9So, We Need Lots Of Resources Like High Performance Computers, Visualization Tools, Data Collection Tools, Sophisticated Laboratory Equipments Etc.“ Science Has Become Mega Science”“Laboratory Has To Be A Collaboratory”Key Concept is “Sharing By RespectingAdministrative Policies”
11Grid concept (another perspective) Many jobs per systemOne job per systemTwo systems per JOBMany systems per JOBView all of the above as Single unified resource-- Early days of Computation-- Risc / Workstation Era-- Client-Server Model-- Parallel / Distributed Computing-- Grid Computing
12LHC ComputingLHC (Large Hadron Collider) has become operational and is churning out data.Data rates per experiment of >100 Mbytes/sec.>1 Pbytes/year of storage for raw data per experiment.Computationally problem is so large that can not be solved by a single computer centreWorld-wide collaborations and analysis.Desirable to share computing and analysis throughout the world.
14QUATTORQuattor is a tool suite providing automated installation, configuration and management of clusters and farmsHighly suitable to install, configure and manage Grid computing clusters correctly and automaticallyAt CERN, currently used to auto manage nodes >2000 with heterogeneous hardware and software applicationsCentrally configurable & reproducible installations, run time management for functional & security updates to maximize availability
16National Knowledge Network Nationwide networks like ANUNET, NICNET,SPACENET did existIdea is to Synergize, Integrate and leverage to form National Information HighwaysTake everyone onboard (5000 institutes of learning). Provide quality of service.Outlay of Rs 100 crores for Proof of ConceptEnvisaged applications are:Countrywide Classrooms,Telemedicine, E-Governance,Grid Technology …..
17NKN TOPOLOGYAll pops are covered by atleast Two NLDs
18Core NKN Topology EDGE EDGE EDGE Distribution Distribution EDGE Current status15 POPS78 Institutes have been connectedDistributionWork in progress for27 POPS550+ InstitutesEDGEEDGEEDGE
20NKN Educational Institutions NTRO Cert-IN EDUSAT National Internet Research LabsCSIR/DAE/ISRO/ICARNKNEDUSATNationalInternetExchangePoints (NIXI)MPLSCloudsINTERNETBroad BandCloudsConnections toGlobal Networks(e.g. GEANT)National / StateData Centers
21DAE-wide Applications on NKN DAE-Grid : Grid resources at BARC, IGCAR, RRCAT and VECCWLCG and GARUDAVideoconferencing: with NIC, IITs, IIScCollab-CAD : Collaborative design of sub assembly of the prototype 500 MW Fast Breeder Reactor from NIC, BARC & IGCARRemote classrooms : Amongst different Training schools
22ANUNET WIDE AREA NETWORK Quarter Transponder9 MHzINSAT 3C8 Carriers of768 Kbps eachBARC,TrombayAERBNPCILHWBBRITCTCRS, BARCAnushaktinagar,MumbaiBARCNFCCCCMECIL,HyderabadTIFRIRETMCDAE,MumbaiHosp.CAT,IndoreBARC,MysoreGauribidnurTarapurMt.AbuAMD,Secund’badShillongSAHA INST.VECC,KolkataIGCAR,KalpakkamBARCFACLIMS,ChennaiMRPUUCIL-IJadugudaUCIL-IIUCIL-IIIHWB,ManuguruKotaIOPBhubaneshwarTMHNaviMumbaiHRI,AllahabadIPR,AhmedabadNotes: Sites shown in yellow oblong are connected over dedicated landlines.ANUNET WIDE AREA NETWORK
23ANUNET Leased Links Plan for 11th Plan DelhiShilongAllahabadMount AbuKotaJadugudaIndoreGandhinagarKolkataTarapurBhubneshwarMumbaiHyderabadVizagManguruMysoreGauribidunirChennaiExistingKalpakkamProposedLeased Links Plan All over India
24DAE & NKN Applications … BARC CONDUCTED THE FIRST NKN WORKSHOP TO TRAIN NETWORK ADMINISTRATORS IN DEC, 2008DAE-GRIDCOUNTRYWIDE CLASSROOMS OF HBNISHARING OF DATABASESDISASTER RECOVERY SYSTEMS (planned)DAE GETS ACCESS TO RESOURCES IN THE COUNTRYDAE STANDS TO GAIN IN THAT WE GET ACCESS TO RESOURCES ON GEANT(34 EUROPEAN COUNTRIES),GLORIAD ( RUSSIA,CHINA,USA,NETHERLANDS,CANADA ..),TIEN3 (AUSTRALIA,CHINA,JAPAN,SINGAPORE,…..)Applications …
25Logical Communication Domains Through NKN WLCG CollaborationNKN-General(National Collaborations)NKN-Internet (Grenoble-France)Logical Communication Domains Through NKNNKN RouterIntranetsegment ofBARCInternetsegment ofBARCAnunet (DAE units)BARC – IGCARCommon Users Group (CUG)National Grid ComputingCDAC, Pune
26LAYOUT OF VIRTUAL CLASSROOM Projection Screen55“ LED55“ LEDElevation FrontHD CameraTeacherHD Camera55“ LED55“ LEDElevation BackLAYOUT OF VIRTUAL CLASS ROOM
29Depicts a one degree oscillation photograph on crystals of HIV-1 PR M36I mutant recorded by remotely operating the FIP beamline at ESRF, and OMIT density for the mutation residue I. (Credits: Dr. Jean-Luc Ferrer, Dr. Michel Pirochi & Dr. Jacques Joley, IBS/ESRF, France, Dr. M.V. Hosur & Colleagues, Solid State Physics Division & Computer Division, BARC)E-Governance?
33Categories of Grid Applications CategoryExamplesCharacteristicsDistributed SupercomputingAb-initioMolecular DynLarge CPU / memory reqdHighThroughputCryptographyHarness IdlecyclesOn DemandRemote ExperimentsCosteffectivenessData IntensiveCERN LHCInfo from Large Data sets / ProvenanceCollaborativeDataExplorationSupport communication 33
34Moving Forward ……“ ‘Fire and Forget’ to ‘Assured quality of service’ ”Effect of Process Migration in distributed environmentsA Novel Distributed Memory file systemImplementation of Network Swap for Performance EnhancementRedundancy issues to address the failure of resource brokersService center concept using Glite MiddlewareDevelopment of Meta-brokers to direct jobs amongst middlewaresAll of the above lead towards ensuring Better quality of service and imparting simplicity in Grid usage… clouds?
35AcknowledgementsAll colleagues from Computer Division, BARC for help in preparing the presentation material are gratefully acknowledged. We also Acknowledge NIC-Delhi, IGCAR-Kalpakkam and IT-Division, CERN, Geneva.THANK YOU35