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Table 1: UK eScience Testbed Hosts Site Hostname Mcast
"... In PAGE 6: ... Figure 4 illustrates the geographical connections. Figure 4: The UK eScience Network Table1 lists the eScience Centre hosts used. As the table shows, many of these sites have functional multicast connec- tivity.... ..."
Table 1. Tools identified to support teachers, learners and experts in distributed e-Science collaborations
"... In PAGE 3: ... Thus ensuring a set of readily-available resources for time pressured teachers, whilst providing the scope for creative development of their own resources tailored to other curriculum goals. To support these four aims we present an initial set of tool requirements and indicate who would be the main users of these tools alongside the ways in which we prototyped and simulated these services in our e- Science projects ( Table1 ). These tools support both within group and cross group review and reflection activities.... ..."
Table 3: Grid View of e-Science Features Feature Grid Approach 1: Community
Table 14.1: Summary of Services, Tools and Utilities............................................................ 97 Tabular Classification of UK e-Science Services Tools and Utilities .............................................. 97
2003
Table 2: Web 2.0 View of e-Science Features Feature Web 2.0 Approach
Table 2: The number of joumal articles that cited Lirt/e Science, Big Science from 1963 to 1983, ranked in
Table 3: Journals in the SCF, SSCF, andA amp;HCITM that cited Lift/e Science, Big Science Irom 19b3 to
Table 2: WAN RTTs amp; Bandwidth Site RTT (ms) B/W (Mb/s)
"... In PAGE 6: ... Others are smaller and older departmental machines with poorer connectivity. Table2 shows the average round-trip times and transfer rates seen from Cambridge to other sites around the net- Table 1: UK eScience Testbed Hosts Site Hostname Mcast Belfast gridmon.... ..."
Table 4: Internal Relation (symmetrical versions of rules IR7-10 omitted)
"... In PAGE 7: ...n in/read operation. We shall use to range over Act (i.e. sequences of actions). In rules IR12 and IR13 in Table4 , we make use of a complementation notation for labels. It is de ned in the obvious way, namely ot! = ot? and ot? = ot!; as usual = .... In PAGE 8: ...Table 4: Internal Relation (symmetrical versions of rules IR7-10 omitted) before tuple t is actually accessed. Thus out(t):P is rendered as (out(t):nil)jP (rule IR5 in Table4 ), and tuples can be used independently of what the remainders of producer processes do. In Table 3, rule AR1 shows that process in(t):E consumes a tuple ot matching the tuple I[[t]] resulting from the evaluation of t; this causes the substitution, denoted by E[ot=I[[t]]], in E of the free occurrences of the variables in the formals of I[[ t ]] with the correspond- ing values in ot.... In PAGE 8: ... According to the terminology of [38], the PAL operational rules adopt an early instantiation scheme; value variables bound by in/read are instantiated when input transitions are inferred, not when communications take place (late instantiation). In Table4 , rule IR6 shows that eval causes dynamic process creation; eval(out(t).nil) can be used to express the original Linda eval(t), that allowed tuples and not terms as arguments of eval.... ..."
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