利用PageRank-like的方式來處理動態選擇網路服務的問題。並對三種類別的叫用結購做處理，以期求出可執行完畢的叫用順序。

Apply Page rank-like approach to web service workflow field. At the same time, no one try to device an engine that validates a composite web service workflow by means of FSM, which has formal theoretical base. In this work, we presented an algorithm to build up the composition FSM, which is a criterion to know a composition is feasible or not. We introduce nested cycle hierarchy to address the problem that PageRank weight assignment would favor cycle structure.

Index
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 3
1.3 Thesis organization 4
Chapter 2 Literature review 5
2.1 Web service technologies 5
2.2 Process models and web services composition 8
2.3 Automatic web service composition 10
2.4 PageRank 10
Chapter 3 Problem Definition 12
3.1 Preliminaries 12
Chapter 4 Our Approach 17
4.1 Building Composition FSM 17
4.2 Operation graph 20
4. 3 Operation weight assignment 22
Chapter 5 Performance Evaluation 42
5.1 PageRank weight assignment 42
5.2 Synthetic operation graph test 43
5.3 Experimental scheme 46
5.4 Scenario description 46
Chapter 6 Conclusion 55
References 56
List of Figures and Table
Figure 1.1 Comparisons of various process models, source: [19] 4
Figure 2.1: Steps for using a WS 7
Figure 2.2: WS Standards Stack, source: [21] 8
Figure 3.1: (a) A target WS (b) A WS community (c) the FSM of the target WS using the WS community 16
Figure 4.1: The algorithm for constructing a composition FSM 20
Figure 4.2: A sample composition FSM 22
Figure 4.3: The operation graph of the composition FSM in Figure 4.2 22
Figure 4.5: The cycle-equivalent graph of the nested-cycle hierarchy in Figure 4.4 26
Figure 4.6: Algorithm to construct the nested cycle hierarchy of a structured graph 29
Figure4.7: (a) an operation graph (b) the weights of operations using CalWeight (c) the weights of operations using Sum (d) the weights of operations using Max 32
Figure 4.8: Algorithm to assign weights to operations of a DAG 33
Figure 4.10: An illustration about the depreciation of weights for operations nested in cycles 35
Figure 4.11 35
Figure 4.12 36
Figure 4.13 36
Figure 4.14 37
Figure 4.15: Algorithm for assigning weights to operations in a structured graph 38
Figure 4.16: An example non-structured graph 39
Figure 4.19: Converting a non-structured graph into a structured graph 40
Figure 4.20 41
Figure 5.1 43
Figure 5.2 44
Figure 5.3 45
Figure 5.4 45
Figure 5.5: The house rental target WS 47
Figure 5.6: The WS Community for the house rental target WS 48
Figure. 5.7: WS composition of the target WS in Figure 5.5 using the WS community in Figure 5.6 49
Figure5.8 51
Figure 5.9 54
Table 5.1 Successful Rate to reach final operation under each selection metrics 55

References

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