SECOAStage Equipment Company of America
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The compositions produced by our algorithm SeCoA, discussed in the next sections, can be enacted on any middleware platform, as long as that platform is capable of supporting symbiotic services.
The algorithm we devised for doing so is called SeCoA and consists of three phases.
In this initial preprocessing phase, SeCoA eliminates services which require input parameters that are not provided by any of their counterparts, as these can never take part in a composition.
LISTING 1: Phase 2 of SeCoA: construction of the service composition graph.
SeCoA focuses on constructing service compositions rather than adapting them to dynamic changes in the ontology.
To clarify the SeCoA algorithm, we return to our running example once more and construct the composition shown in Figure 5 programmatically.
In this section, we provide an analytical characterization of SeCoA's performance.
Phase 1 of SeCoA examines every input parameter of each service provided exactly once.
As discussed in Section 3.3, SeCoA reuses the output of services which are already part of the composition.
Consequently, for all three phases combined, the SeCoA algorithm has a total worst-case time complexity of 0((j + p) x s + [(j x t x (1- P(R)).sup.jxs]).
SECOA provides stage equipment to the performing arts industry in the United States.
Sacks, "The SECOAS project: development of a self-organising, wireless sensor network for environmental monitoring," in Proceedings of the 2nd International Workshop on Sensor and Actor Network Protocols and Applications (SANPA '04), pp.