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GICS follows the outline of Algorithm 20, Section 65 Naturally, the chromosome encodes the processor allocation, which is an indirect representation (Section 652) Hence, the construction of the schedule corresponding to each chromosome, which is necessary for the evaluation of its tness, requires the application of a heuristic As already mentioned, this is performed by a list scheduling heuristic under the involvement contention model (see later discussion) Strictly speaking, this means that a two-phase heuristic is applied multiple times in GICS once for each new chromosome To reduce the running time of the evaluation, the node order is determined only once at the beginning of the algorithm, namely, according to their bottom levels Like most GAs, GICS starts with a random initial population, enhanced with a chromosome representing a sequential schedule (all nodes are allocated to a single processor) The pool is completed by one allocation extracted from a schedule produced with a list scheduling heuristic (Section 841) Most other components are fairly standard In fact, the algorithm can even be employed for scheduling under the classic or the contention model, using a modi ed evaluation (ie, scheduling euristic) Phase 2 List Scheduling From Section 52 it is known that the second phase can be performed with a simple list scheduling algorithm The processor choice of list scheduling is simply a lookup from the given mapping A established in the rst phase Even though list scheduling under the involvement contention model was already studied in Section 841, it must be revisited as there are three alternatives for the scheduling of the edges when the processor allocation is already given (Section 832) Scheduling of the Edges The rst alternative corresponds to direct scheduling, and the procedures for the scheduling of a node and the calculation of the DRT are presented in Algorithms 23 and 24 The scheduling of an edge on the source processor must be modi ed (line 16 in Algorithm 23), since it is no longer necessary to assume the worst case Lines 1 5 (removing local edges) and line 9 (correcting the nish time) can be dropped completely, since the provisional scheduling of the edges is not necessary with the given processor allocation The other two alternatives are only distinguished from this procedure through the place where the edges are scheduled on the links and the destination processor So, for the second alternative, where the edge is scheduled on the links as a leaving edge, lines 8 and 10 of Algorithm 23 move to the for loop on lines 15 17 In the third alternative, the edge is also scheduled on the destination processor within this loop, and the for loop for the entering edges (lines 6 13) is completely dropped Of course, in the determination of the DRT the entering edges do not need to be tentatively scheduled, as the processor allocation is already given Complexity The complexity of list scheduling with a given processor allocation decreases slightly in comparison to list scheduling with start/ nish time minimization It is not necessary to tentatively schedule a node and its edges on every processor Thus,.



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In this example, adding the min-max pairs to the diagram of Figure 21 would be redundant since no additional semantics is provided beyond the participation and cardinality constraints However, if the enterprise were changed to require that a department have a minimum of 6 faculty members working in it, then the min-max pair (6,n) on the edge between Department and WorksIn would provide additional information The structural constraints of the EER model are referred to as multiplicity in UML, indicating the number of times an object participates in an association The placement of the multiplicity constraints on the UML diagram is similar to that of the placement of cardinality ratios in the EER diagram, although multiplicity is more closely related to min-max pairs The multiplicity, specified as "min.max", indicates the minimum and maximum number of times that an object participates in an association.





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12 Powerful Free OCR Software or Tools for Mac 2018-2019 - Cisdem
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There are several shorthand notations available for multiplicity A 1 indicates a 1.1 multiplicity, and * indicates a 0.infinity multiplicity A minimum of 0 indicates partial participation in the association, where a minimum of at least 1 indicates a total participation in the association As shown in Figure 22, CampusClub has a multiplicity of 1 in the Advises association, indicating that a CampusClub must have exactly one advisor However, Faculty has a multiplicity of * in the Advises association, indicating that a Faculty entity does not have to be the advisor of a CampusClub, but potentially can be the advisor of several CampusClubs The goal of conceptual design is to capture graphically the constraints of the enterprise being modeled Both EER diagrams and conceptual class diagrams are useful for representing many constraints, but they cannot represent every constraint.

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