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By Claudia-Melania Chituc (auth.), E. Michael Maximilien, Gustavo Rossi, Soe-Tsyr Yuan, Heiko Ludwig, Marcelo Fantinato (eds.)

This ebook constitutes the joint post-proceedings of 4 topical workshops held as satellite tv for pc conferences of the eighth foreign convention on service-oriented computing, ICSOC 2010, held in San Francisco, CA, united states in December 2010. The 23 revised papers offered including 4 introductory descriptions are equipped in topical sections resembling the person workshops: functionality review and auditing in carrier computing (PAASC 2010), engineering service-oriented functions (WESOA 2010), prone, strength and ecosystems (SEE 2010), and service-oriented computing in logistics (SOC-LOG 2010)

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Extra info for Service-Oriented Computing: ICSOC 2010 International Workshops, PAASC, WESOA, SEE, and SOC-LOG, San Francisco, CA, USA, December 7-10, 2010, Revised Selected Papers

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In: Proceedings of CASCON 2008, pp. 144–156. ACM, New York (2008) 13. : Toward a simulationgenerated knowledge base of service performance. nl Abstract. Today’s business environment demands a high rate of compliance of service-enabled business processes with which enterprises are required to cope. Thus, a comprehensive compliance management framework is required such that compliance management must crosscut all the stages of the complete business process lifecycle, starting from the very early stages of business process design.

R3 LTL: (7) CTL: (8) FCL: 1 (9) This requirement can be represented in FCL using the (CTD) operator. g. ). Although semantically unequal, the closest operator in temporal logic is the disjunction operator, however, it is commutative. R4 LTL: (10) CTL: (11) FCL: (12) This requirement can’t be represented in FCL due to its lack of support to temporal operators. R5 LTL: (13) CTL: (14) FCL: (15) Neither CTL nor FCL can express the weak fairness property of R5 (a constantly enabled event must occur infinitely often) [5], which is expressible in LTL.

44 for cost. 33. 77. Note that response time and cost may have different weights when compared to other metrics. The valueij [k] is normalized based on the relative position of the configuration’s value for metric k: at the “good” end of the selection is 2, at the “bad” end is 1, everything in between on a linear scale. Values outside the selection have value 0. Returning to our example, a configuration with response time of 1 (best in the selection) and cost of 500 (outside the selection) would have values 2 and Configuration Decision Making Using Simulation-Generated Data 23 0, respectively.

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