2010
DOI: 10.1504/ijwgs.2010.032190
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Tuplespace middleware for Petri net-based workflow execution

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Cited by 7 publications
(9 citation statements)
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“…Figure 3 roughly depicts the overall architecture. By distributing the responsibility of executing a TCWS across several Engine Threads, the logical model of our Executer allows distributed execution of a TCWS and is independent of its implementation, i.e., this model can be implemented in a distributed memory environment supported by message passing (see Figure 4(a)) or in a shared memory platform, e.g., supported by a distributed shared memory [22] or tuplespace [19] systems (see Figure 4(b)). The idea is to place the Executer in different physical nodes (e.g., a high available and reliable cluster computing) from those where actual WSs are placed.…”
Section: Faceta: An Tcws Executer With Backward and Forward Recovery mentioning
confidence: 99%
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“…Figure 3 roughly depicts the overall architecture. By distributing the responsibility of executing a TCWS across several Engine Threads, the logical model of our Executer allows distributed execution of a TCWS and is independent of its implementation, i.e., this model can be implemented in a distributed memory environment supported by message passing (see Figure 4(a)) or in a shared memory platform, e.g., supported by a distributed shared memory [22] or tuplespace [19] systems (see Figure 4(b)). The idea is to place the Executer in different physical nodes (e.g., a high available and reliable cluster computing) from those where actual WSs are placed.…”
Section: Faceta: An Tcws Executer With Backward and Forward Recovery mentioning
confidence: 99%
“…In the first one, nodes interact directly based on a peer-to-peer application architecture and collaborate, in order to execute a CWS with every node executing a part of it [2,5,16,18,28]. In the second one, they use a shared space for coordination [4,12,19].…”
Section: Related Workmentioning
confidence: 99%
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