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Table 1: UK eScience Testbed Hosts Site Hostname Mcast

in ABSTRACT Hybrid Reliable Multicast with TCP-XM
by K. Jeacle, J. Crowcroft
"... 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 Identifying Tools to Support Schools ’ Collaborative Teaching and Learning
by Hilary Smith, Joshua Underwood, Geraldine Fitzpatrick, Rose Luckin, Danaë Stanton Fraser
"... 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

in Web 2.0 for E-Science Environments
by Geoffrey C. Fox, Marlon E. Pierce, A. F. Mustacoglu, Ahmet E. Topcu

Table 14.1: Summary of Services, Tools and Utilities............................................................ 97 Tabular Classification of UK e-Science Services Tools and Utilities .............................................. 97

in unknown title
by unknown authors 2003

Table 2: Web 2.0 View of e-Science Features Feature Web 2.0 Approach

in Grids Challenged by a Web 2.0 and Multicore Sandwich
by Geoffrey Fox, Marlon Pierce

Table 2: The number of joumal articles that cited Lirt/e Science, Big Science from 1963 to 1983, ranked in

in unknown title
by unknown authors

Table 3: Journals in the SCF, SSCF, andA amp;HCITM that cited Lift/e Science, Big Science Irom 19b3 to

in unknown title
by unknown authors

Table 7.10: Terminal input class methods

in Contents
by unknown authors 2007

Table 2: WAN RTTs amp; Bandwidth Site RTT (ms) B/W (Mb/s)

in ABSTRACT Hybrid Reliable Multicast with TCP-XM
by K. Jeacle, J. Crowcroft
"... 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 Linda based Applicative and Imperative Process Algebras
by Rocco De Nicola, Rosario Pugliese
"... 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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