▁where ▁efforts ▁are ▁taking ▁place ▁to ▁improve ▁services ▁and ▁reduce ▁costs ▁by ▁providing ▁access ▁to ▁dispers ed ▁and ▁separate ▁data ▁systems ▁through ▁the ▁use ▁of ▁data ▁gr ids . ▁▁ ▁From ▁its ▁earliest ▁beg inn ings , ▁the ▁concept ▁of ▁a ▁Data ▁Grid ▁to ▁support ▁the ▁scientific ▁community ▁was ▁thought ▁of ▁as ▁a ▁special ized ▁extension ▁of ▁the ▁“ grid ” ▁which ▁itself ▁was ▁first ▁en vision ed ▁as ▁a ▁way ▁to ▁link ▁super ▁computers ▁into ▁meta - comput ers . ▁However , ▁that ▁was ▁short ▁lived ▁and ▁the ▁grid ▁evol ved ▁into ▁meaning ▁the ▁ability ▁to ▁connect ▁computers ▁anywhere ▁on ▁the ▁web ▁to ▁get ▁access ▁to ▁any ▁desired ▁files ▁and ▁resources , ▁similar ▁to ▁the ▁way ▁electric ity ▁is ▁delivered ▁over ▁a ▁grid ▁by ▁simply ▁plug ging ▁in ▁a ▁device . ▁The ▁device ▁gets ▁electric ity ▁through ▁its ▁connection ▁and ▁the ▁connection ▁is ▁not ▁limited ▁to ▁a ▁specific ▁out let . ▁From ▁this ▁the ▁data ▁grid ▁was ▁proposed ▁as ▁an ▁integr ating ▁architecture ▁that ▁would ▁be ▁capable ▁of ▁deliver ing ▁resources ▁for ▁distributed ▁comput ations . ▁It ▁would ▁also ▁be ▁able ▁to ▁service ▁numerous ▁to ▁thousands ▁of ▁queries ▁at ▁the ▁same ▁time ▁while ▁deliver ing ▁gig aby tes ▁to ▁ter aby tes ▁of ▁data ▁for ▁each ▁query . ▁The ▁data ▁grid ▁would ▁include ▁its ▁own ▁management ▁infrastr ucture ▁capable ▁of ▁man aging ▁all ▁aspects ▁of ▁the ▁data ▁gr ids ▁performance ▁and ▁operation ▁across ▁multiple ▁wide ▁area ▁networks ▁while ▁working ▁within ▁the ▁existing ▁framework ▁known ▁as ▁the ▁web . ▁▁▁ ▁The ▁data ▁grid