Service Selector Sample Clauses

Service Selector ñ This component utilizes the normalized request to search from the service registry the appropriate service to meet the consumerís requirements. Since all our values are numeric in nature, there exists an analogy between the specifications of distance functions and the nature of the problem raised by our work. Therefore, the classical Euclidean distance measure function (Han and Xxxxxx, 2006: Xxxxxx, 2003) is used for the matchmaking process. A distance measure function is a number that is assigned to a pair of points in a space which indicates dissimilarity between the points. However, since our work encompasses the expression of preferences towards the particular metrics, the Weighted Euclidean distance measure becomes the more appropriate solution to the problem. The selection algorithm procedure is detailed in section 4.3.5 and represented in Figure 4.5. For each service variant, the Similarity Matcher uses a technique based on similarity distance measures to find the relative distance between the consumers request and the providerís capability. Preference Filter ensures that the hard and soft constraints on the preference of the service requested for by the consumer are adhered to during the selection of the service. The processes involved in the service selector are detailed section 4.4