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Turbulence (Continued) CFD 291, 301 de nition 20, 45 drop break-up 44 experimental methods 71 frequency spectrum 26, 45 fully isotropic 63 fully turbulent 63, 66 intuitive framework 38 Kolmogorov scale 50 see length scale locally isotropic 63, 66 models, reaction see CFD 836 pulp, interactions with 1201, 1203 reaction model 38, 836 scale-up 53, 57 solid liquid 61 statistical moments, table 223 summary 81 Taylor s hypothesis 42 see time scale time and length scales, table 50, 52 wavenumber 46 Turbulence model 72, 261 Boussinesq hypothesis 73, 262 DNS 74, 75 k- 73, 79, 263 LES 74, 76, 265 Prandtl mixing length 73 RANS equations 78, 262 RSM 74, 80, 263 table of 73, 266, 834 Turbulent dispersion, liquid liquid pipeline 452, 454 Turbulent mixing vi, 19 blend time 509 drop breakup 650, 656 drop breakup, viscosity effect 658, 660 impeller ow characteristics 358 length scales 24, 50 particle settling velocity 552 time scales 24, 50 Twin-screw extruder 1009, 1014, 1016, 1019, 1022 Twin-shaft extruder 1020, 1021 Underrelaxation 283 Ungassed boiling 612 Unstructured grid 274 Up-pumping impellers 367 Upwind differencing 279, 280

A few of these low-angle normal faults accommodate very large displacements and penetrate tens of.

are highly interoperable There is no uniform protocol required that each service has to speak WSDL descriptions are there to ensure interoperability The noti cation framework for passing messages between Grid services is addressing this property explicitly It resembles the concepts of the Grid monitoring architecture [27], but without the possibility of registering noti cation sources with the target (sink) of the noti cation event Interoperability is very closely related to discovery because services that need to interoperate have to discover among other things, which common protocols they can use and whether there are issues of compatibility 1547 Service discovery As mentioned before, users of many services and services that want to interoperate need to get hold of the service descriptions to discover which services meet their needs or which services are still missing to achieve a given QoS.

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Table 13.4: Maximum Free-Distance Trellis Codes for Amplitude Modulated (OneDimensional) Constellations [347]

41.5.2 e-Science challenges This project requires that several generic e-Science challenges be addressed both by leveraging existing Grid technology and by developing novel middleware solutions. Key issues include the development of each of the following:

But how does the user know how to get hold of these descriptions The OGSA s answer is the Registry and the HandleMap The Registry needs to be searched to nd the GSHs of the services that ful ll the user requirements formulated in a query if necessary The HandleMap then can be contacted to retrieve the detailed description of the services in question By holding a GSH one can get at the corresponding (WSDL) description and the HandleMap is bound to the HTTP(S) protocol to assure availability of the description without another necessary discovery step This whole mechanism, however, leads us back to the service discovery problem: How do we get the GSH of the relevant registries in the rst place There has been signi cant effort in the P2P community to provide robust and scalable protocols addressing this issue, like Chord [29].

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The current set of found (visible) records Labels in the current layout (available only in Layout mode)

This touches again on the issue of QoS metrics and SDEs How is it possible to get the handles of the registries that we can query to get a set of services that we might be interested in, that is, how do we nd the registry or registries relevant to a given query How is a query formulated to do so OGSA considers using XQuery [30, 31] to query the Service Data of the Registry, but then we need SDEs de ning QoS We tried to give a few examples for data management 1548 Manageability Manageability is not dealt with explicitly in OGSA The idea of uni ed monitoring and controlling mechanisms is there, but not further exploited We have discussed the manageability issues before with respect to VO management..