臺灣博碩士論文加值系統

隨著資訊技術不斷演進，以及IPv6技術的日漸成熟，一個以未來網路的新概念應用於具有感測、網路以及運算功能進而發展成智能物件(Smart Object)，使物件與物件能進行資料傳遞，形成新興的網路環境，稱之為物聯網(Internet of Things；IoT)。
過去有關物聯網中介層之研究，無法解決物聯網環境可能出現不準確的資料、龐大複雜化的資料以及資料不安全性的問題。因此，本研究提出一個中介層框架來進行感知層資料的過濾與整合，以獲得有意義的資訊。
在本研究提出的中介層框架下，感知層使用安全水準協議(Security Level Agreement；SLA)的概念來降低計算的成本，並且在中介層與感知層之間使用數位簽章的概念提出輕量安全機制，經由中介層讓感知層內感測節點的身分具有可驗證性與不可否認性，進而提升物聯網的安全性環境的安全性。
本研究在雲端計算資源層提出三階段排程演算法，以P-ESJF(Priority-Enhanced Shortest Job First)、P-EOLB(Priority-Enhanced Opportunistic Load Balancing)與EMM(Enhanced Min-Min)排程演算法改善系統效能，使得每個需要執行的工作都能被分配到適當的資源並改善每個服務節點的負擔與降低資源的浪費。

Currently, information technology is developing rapidly, and resulting in the vigorous development of the IPv6. The new concept of the future network is applied to the smart objects which have sensing, networking and computing abilities, and the ability to transfer data between the objects; the novel network environment is called the Internet of Things (IoT).
The past researches of the middleware layer in the IoT have not discussed inaccurate information, large and complex information and data insecurity issues. Thus, a framework of middleware is proposed to solve these problems through data filtering and integration to draw on meaningful information.
This study used the concept of security level agreements to reduce the risk of data being subject to malicious attacks, as well as the computational cost of data encrypted in the perception layer. And the digital signature is used to establish a lightweight security mechanism between the application and the perception layer. Through the framework of the middleware layer, the identity of the application and the perception layer will have a verification and non-repudiation, and the security of the IoT can be obtained.
This study proposed Three-Phase Scheduling (3PS) under a cloud computational resource layer, to improve the effectiveness of the system. Thereby, each task to be performed can be assigned to the appropriate resources, while improving the load on each service node and reducing the waste of resources.

中文摘要 I
Abstract II
謝誌 III
Index of Contents V
List of Tables VIII
List of Figures X
Chapter 1　 Introduction 1
1.1 Background 1
1.2 Motivation 3
1.3 Objective 6
1.4 The architecture of dissertation 7
Chapter 2　 Literature review 8
2.1 Introduction of internet of things 8
2.2 Service-oriented architecture 10
2.3 Past research of the middleware layer of IoT 11
2.4 Related research on security mechanisms 13
2.4.1 Digital signature 13
2.4.2 Security level agreements 15
2.4.3 Key management mechanism of wireless sensor network 16
2.5 CPU scheduling algorithm 18
2.5.1 First come first served scheduling algorithm 19
2.5.2 Priority scheduling algorithm 19
2.5.3 Shortest job first scheduling algorithm 19
2.6 Task scheduling algorithm 19
2.6.1 Opportunistic load balancing scheduling algorithm 20
2.6.2 Min-Min scheduling algorithm 20
2.6.3 Summary 21
Chapter 3　 IoT architecture 22
3.1 Four-layer framework of IoT 23
3.2 Introduction of relationships of a four-layer IoT framework 26
Chapter 4　3PS of cloud computational resource layer 30
4.1 Concept of three-phase scheduling 30
4.2 Steps of 3PS 32
4.3 Summary 38
Chapter 5　Workflow of the middleware layer of IoT 39
5.1 The functions and interrelation of the middleware layer 39
5.2 The workflow of the proposed middleware layer 42
5.3 Summary 48
Chapter 6　 The security level agreement of the perception layer and lightweight security 49
6.1 The security level agreements of perception layer 49
6.2 The workflow of lightweight security mechanisms 52
6.2.1 Generated KSNi,MW, KSNi, KMW and KAC 52
6.2.2 Authentication phase 53
6.3 Summary 56
Chapter 7　Experiment 57
7.1 Experimental environment 58
7.2 Experimental simulation 60
7.2.1 Experimental assumptions 61
7.2.2 Clustering of nodes 61
7.2.3 Experimental design 63
7.3 Experimental results 66
7.3.1 The results of the simulation for the ‘system is not busy’ 67
7.3.1.1 The Comparison of Load Balance for the nodes 67
7.3.1.2 The Comparison of Makespan 98
7.3.2 The results of the simulation for the ‘system is busy’ 99
7.3.2.1 The Comparison of Load Balance for the nodes 99
7.3.2.2 The Comparison of Makespan 131
Chapter 8　Conclusion and future work suggestions 133
8.1 Conclusion 133
8.2 Future work 134
References 135
簡歷 144

List of Tables
Table 6-1 The mathematical symbols of the lightweight security 51
Table 7-1 Parameters of the experimental environment 58
Table 7-2 Tools of the experimental environment 59
Table 7-3 The sample parameters of the nodes (1000) 59
Table 7-4 The sample parameters of the tasks (3000) 60
Table 7-5 The execution time of T996 in the cluster 1 62
Table 7-6 The execution time of T996 in the cluster 2 63
Table 7-7 The execution time of T996 in the cluster 5 63
Table 7-8 Design of Four Experiment Script 65
Table 7-9 The comparison of load gaps in the C1 70
Table 7-10 The comparison of the utilization of the node in the C1 70
Table 7-11 The comparison of load gaps in the C2 73
Table 7-12 The comparison of the utilization of the node in the C2 73
Table 7-13 The comparison of load gaps in the C3 76
Table 7-14 The comparison of the utilization of the node in the C3 76
Table 7-15 The comparison of load gaps in the C4 79
Table 7-16 The comparison of the utilization of the node in the C4 79
Table 7-17 The comparison of load gaps in the C5 82
Table 7-18 The comparison of the utilization of the node in the C5 82
Table 7-19 The comparison of load gaps in the C6 85
Table 7-20 The comparison of the utilization of the node in the C6 85
Table 7-21 The comparison of load gaps in the C7 88
Table 7-22 The comparison of the utilization of the node in the C7 88
Table 7-23 The comparison of load gaps in the C8 91
Table 7-24 The comparison of the utilization of the node in the C8 91
Table 7-25 The comparison of load gaps in the C9 94
Table 7-26 The comparison of the utilization of the node in the C9 94
Table 7-27 The comparison of load gaps in the C10 97
Table 7-28 The comparison of the utilization of the node in the C10 97
Table 7-29 The comparison of load gaps in the C1 103
Table 7-30 The comparison of the utilization of the node in the C1 103
Table 7-31 The comparison of load gaps in the C2 106
Table 7-32 The comparison of the utilization of the node in the C2 106
Table 7-33 The comparison of load gaps in the C3 109
Table 7-34 The comparison of the utilization of the node in the C3 109
Table 7-35 The comparison of load gaps in the C4 112
Table 7-36 The comparison of the utilization of the node in the C4 112
Table 7-37 The comparison of load gaps in the C5 115
Table 7-38 The comparison of the utilization of the node in the C5 115
Table 7-39 The comparison of load gaps in the C6 118
Table 7-40 The comparison of the utilization of the node in the C6 118
Table 7-41 The comparison of load gaps in the C7 121
Table 7-42 The comparison of the utilization of the node in the C7 121
Table 7-43 The comparison of load gaps in the C8 124
Table 7-44 The comparison of the utilization of the node in the C8 124
Table 7-45 The comparison of load gaps in the C9 127
Table 7-46 The comparison of the utilization of the node in the C9 127
Table 7-47 The comparison of load gaps in the C10 131
Table 7-48 The comparison of the utilization of the node in the C10 131

List of Figures
Figure 3-1 The topology of the IoT 22
Figure 3-2 Four-layer framework of IoT 24
Figure 3-3 Cloud computational resource layer 26
Figure 4-1 The workflow of 3PS 31
Figure 4-2 The Step of P-ESJF 34
Figure 4-3 The Step of P-EOLB 35
Figure 4-4 The Step of EMM 37
Figure 5-1 The workflow of devices and services monitoring agent 43
Figure 5-2 The workflow of authentication centre 44
Figure 5-3 The workflow of event identification 45
Figure 5-4 The workflow of communication management 46
Figure 5-5 The workflow of remote management 47
Figure 5-6 The workflow of policy management 47
Figure 6-1 Three phase security level agreements of IoT 50
Figure 6-2 Process of the data authentication 55
Figure 7-1 The comparison of load balance in the C1 69
Figure 7-1-1 The comparison of OLB+MM and the average in the C1 69
Figure 7-1-2 The comparison of P-EOLB+EMM and the average in the C1 70
Figure 7-2 The comparison of load balance in the C2 72
Figure 7-2-1 The comparison of OLB+MM and the average in the C2 72
Figure 7-2-2 The comparison of P-EOLB+EMM and the average in the C2 73
Figure 7-3 The comparison of load balance in the C3 75
Figure 7-3-1 The comparison of OLB+MM and the average in the C3 75
Figure 7-3-2 The comparison of P-EOLB+EMM and the average in the C3 76
Figure 7-4 The comparison of load balance in the C4 78
Figure 7-4-1 The comparison of OLB+MM and the average in the C4 78
Figure 7-4-2 The comparison of P-EOLB+EMM and the average in the C4 79
Figure 7-5 The comparison of load balance in the C5 81
Figure 7-5-1 The comparison of OLB+MM and the average in the C5 81
Figure 7-5-2 The comparison of P-EOLB+EMM and the average in the C5 82
Figure 7-6 The comparison of load balance in the C6 84
Figure 7-6-1 The comparison of OLB+MM and the average in the C6 84
Figure 7-6-2 The comparison of P-EOLB+EMM and the average in the C6 85
Figure 7-7 The comparison of load balance in the C7 87
Figure 7-7-1 The comparison of OLB+MM and the average in the C7 87
Figure 7-7-2 The comparison of P-EOLB+EMM and the average in the C7 88
Figure 7-8 The comparison of load balance in the C8 90
Figure 7-8-1 The comparison of OLB+MM and the average in the C8 90
Figure 7-8-2 The comparison of P-EOLB+EMM and the average in the C8 91
Figure 7-9 The comparison of load balance in the C9 93
Figure 7-9-1 The comparison of OLB+MM and the average in the C9 93
Figure 7-9-2 The comparison of P-EOLB+EMM and the average in the C9 94
Figure 7-10 The comparison of load balance in the C10 96
Figure 7-10-1 The comparison of OLB+MM and the average in the C10 96
Figure 7-10-2 The comparison of P-EOLB+EMM and the average in the C10 97
Figure 7-11 The comparison of makespan in each of scheduling 98
Figure 7-12 The comparison of load balance in the C1 102
Figure 7-12-1 The comparison of SJF+OLB+MM and the average in the C1 102
Figure 7-12-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C1 103
Figure 7-13 The comparison of load balance in the C2 105
Figure 7-13-1 The comparison of SJF+OLB+MM and the average in the C2 105
Figure 7-13-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C2 106
Figure 7-14 The comparison of load balance in the C3 108
Figure 7-14-1 The comparison of SJF+OLB+MM and the average in the C3 108
Figure 7-14-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C3 109
Figure 7-15 The comparison of load balance in the C4 111
Figure 7-15-1 The comparison of SJF+OLB+MM and the average in the C4 111
Figure 7-15-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C4 112
Figure 7-16 The comparison of load balance in the C5 114
Figure 7-16-1 The comparison of SJF+OLB+MM and the average in the C5 114
Figure 7-16-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C5 115
Figure 7-17 The comparison of load balance in the C6 117
Figure 7-17-1 The comparison of SJF+OLB+MM and the average in the C6 117
Figure 7-17-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C6 118
Figure 7-18 The comparison of load balance in the C7 120
Figure 7-18-1 The comparison of SJF+OLB+MM and the average in the C7 120
Figure 7-18-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C7 121
Figure 7-19 The comparison of load balance in the C8 123
Figure 7-19-1 The comparison of SJF+OLB+MM and the average in the C8 123
Figure 7-19-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C8 124
Figure 7-20 The comparison of load balance in the C9 126
Figure 7-20-1 The comparison of SJF+OLB+MM and the average in the C9 126
Figure 7-20-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C9 127
Figure 7-21 The comparison of load balance in the C10 129
Figure 7-21-1 The comparison of SJF+OLB+MM and the average in the C10 130
Figure 7-21-2 The comparison of P-ESJF+P-EOLB+EMM and the average in the C10 130
Figure 7-22 The comparison of makespan in each of scheduling 132

[1]陳秀芳 (2008)，在階層式點對點網路架構下以負載平衡為導向之排程機制，朝陽科技大學資訊管理系碩士論文，臺中。
[2]陳慶維 (2011)，在階層式雲端運算網路架構下以負載平衡為導向之排程機制，朝陽科技大學資訊管理系碩士論文，臺中。
[3]S. Abraham, G. Greg and B. G. Peter(2005), Operating System Concepts, John Wiley & Sons, Inc., seventh edition.
[4]G. Casella and R. L. Berger(2002). Statistical inference (Vol. 2). Pacific Grove, CA: Duxbury.
[5]K. Aberer, M. Hauswirth and A. Salehi(2007), “Infrastructure for Data Processing in Large-scale Interconnected Sensor Networks,” Proceedings of International Conference on Mobile Data Management, pp. 198-205.
[6]A. Allam(2006), “Service-oriented Modeling and Architecture for Realization of an SOA,” Proceedings of the IEEE 2006 International Conference on Services Computing, pp. 521.
[7]E. Al-Masri and Q.H. Mahmoud(2008), “Investigating Web Services on the World Wide Web,” Proceeding of the 17th International Conference on World Wide Web, pp. 795-804.
[8]A. Andrieux, C. Karl, A. Dan, K. Keahey, H. Ludwig, T. Nakata, J. Pruyne, J. Rofrano, S. Tuecke and M. Xu(2007), “Web Services Agreement Specification (WS-Agreement),” Open Grid Forum, Vol. 128.
[9]R. Armstrong, D. Hensgen and T. Kidd(1998), “The Relative Performance of Various Mapping Algorithms is Independent of Sizable Variances in Run-Time Predictions,” Proceeding of the 7th IEEE Heterogeneous Computing Workshop, pp. 79-87.
[10]F.M. Aymerich, G. Fenu, and S.Surcis(2008), “An Approach to A cloud Computing Network,” Proceeding of the 1st International Conference on the Applications of Digital Information and Web Technologies, pp. 113-118, August 4-6.
[11]K. Birman, G. Chockler, and R. Renesse(2009), “Toward A Cloud Computing Research Agenda,” ACM SIGACT News, Vol. 40, No. 2, pp. 68-80, June.
[12]D. Boyle, S. Kim and T. Newe(2008), “Securing Wireless Sensor Networks: Security Architectures,” Journal of Networks, Vol. 3, No. 1 pp. 7.
[13]T.D. Brauna, H.J. Siegelb, N. Beckc, L.L. Bölönid, Muthucumaru Maheswarane, I.R. Albert, J.P. Robertsong, M.D. Theysh, B. Yaoi, D. Hensgenj and R.F. Freundk(2001), “A Comparison of Eleven Static Heuristics for Mapping A Class of Independent Tasks onto Heterogeneous Distributed Computing Systems,” Journal of Parallel and Distributed Computing , Vol. 61, Issue 6 , pp. 810-837.
[14]L. Breslau, D. Estrin, K. Fall, S. Floyd, J. Heidemann, A. Helmy, P. Huang, S. McCanne, K. Varadhan, Ya Xu, Haobo Yu (2000),“Advances in Network Simulation,” IEEE Computer, Vol. 33, No.5, pp. 59 - 67.
[15]S.A. Camtepte and B. Yener(2005), “Key Distribution Mechanisms for Wireless Sensor Networks: A Survey,” Technical Report, TR-05-07.
[16]H. Chan and A. Perrig(2005), “PIKE: Peer Intermediaries for Key Establishment in Sensor Networks,” Proceeding of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies, Vol. 1, pp. 524-535.
[17]L. Coetzee and J. Eksteen(2011), “The Internet of Things-Promise for the Future an Introduction,” Proceedings of IST- Africa Conference, pp. 1-9.
[18]M. Eid, R. Liscano and A.E. Saddik(2007), “A Universal Ontology for Sensor Networks Data,” Proceedings of the IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp. 59-62.
[19]M. Eisenhauer, P. Rosengren and P. Antolin(2010), “Hydra: A Development Platform for Integrating Wireless Devices and Sensors into Ambient Intelligence Systems.” The Internet of Things, pp. 367-373.
[20]R.F. Freund, M. Gherrity, S. Ambrosius, M. Campbell, M. Halderman, D. Hensgen, E. Keith, T. Kidd, M. Kussow, J. D. Lima, F. Mirabile, L. Moore, B. Rust and H. J. Siegel(1998), “Scheduling Resources in Multi-User, Heterogeneous, Computing Environments with SmartNet,” Proceeding of the 7th IEEE Heterogeneous Computing Workshop, pp. 184-199.
[21]A. Gavras, A. Karila, S. Fdida, M. May and M. Potts(2007), “Future Internet Research and Experimentation: the FIRE initiative,” ACM SIGCOMM Computer Communication Review, Vol. 37, No. 3, pp.89-92.
[22]N. Gershenfeld, R. Krikorian and D. Cohen(2004), “The Internet of Things,” Scientific American, pp. 76-81, October.
[23]D. Giusto, A. Iera, G. Morabito and L. Atzori(2010), “The Internet of Things,” Proceeding of the 20th Tyrrhenian Workshop on Digital Communications, pp. 5-18.
[24]D. Guinard, V. Trifa, S. Karnouskos, P. Spiess and D. Savio(2010), “Interacting with the SOA-Based Internet of Things: Discovery, Query, Selection, and On-demand Provisioning of Web Services,” IEEE Transactions on Services Computing, Vol. 3, No. 3, pp. 223-235.
[25]R. R. Henning(1999), “Security Service Level Agreements: Quantifiable Security for the Enterprise?,” Proceeding of the ACM Workshop on New Security Paradigms, pp. 54-60.
[26]J. Honkola, H. Laine, R. Brown and O. Tyrkko(2010), “Smart-M3 Information Sharing Platform,” Proceedings of IEEE Symposium on Computers and Communications (ISCC), pp. 1041-1046.
[27]M. Junginger and Y. Lee(2002), “The Multi-Ring Topology - High-Performance Group Communication in Peer-to-Peer Networks,” Proceedings of Peer-to-Peer Computing, pp. 49-56.
[28]H. Kopetz(2011), Real-Time Systems: Design Principles for Distributed Embedded Applications, 2nd edn, 406, Springer US.
[29]B. Lai, S. Kim and I. Verbauwhede(2002), “Scalable Session Key Construction Protocol for Wireless Sensor Networks,” Proceeding of the IEEE Workshop on Large Scale Real Time and Embedded Systems, pp. 7.
[30]H. Lee, Y.H. Kim, DH. Lee and J. Lim(2007), “Classification of key management schemes for wireless sensor networks,” Proceeding of the International Workshop on Application and Security Service in Web and PervAsive eNvironments, Vol. 4537, pp. 664-673.
[31]G. Li, V. Muthusamy, and H.A. Jacobsen(2010), “A Distributed Service-oriented Architecture for Business Process Execution,” ACM Transactions on the Web (TWEB), Vol. 4, Issue 1, pp.2-33.
[32]J. Liu and F. Zhao(2005), “Towards Semantic Services for Sensor-rich Information Systems,” Proceedings of the 2th International Conference on Broadband Networks, pp. 967-974.
[33]A. Luigi, I. Antonio and M. Giacomo(2010), “The Internet of Things: a survey,” Computer Networks, Vol. 54, pp. 2787-805.
[34]J. Luna, H. Ghani, T. Vateva and N. Suri(2012), “Quantitative Assessment of Cloud Security Level Agreements: A Case Study,” Security and Cryptography, pp. 64-73.
[35]W. Mao(2004), Modern Cryptography: Theory and Practice. Prentice Hall Professional Technical Reference, New Jersey.
[36]D. Massaguer, B. Hore, M. Diallo, S. Mehrotra and N. Venkatasubramanian(2009), “Middleware for Pervasive Spaces: Balancing Privacy and Utility,” Lecture Notes in Computer Science (LNCS), Vol. 5896, pp. 247-267.
[37]E. Meshkova, J. Riihijarvi, M. Petrova and P. Mahonen(2008), “A Survey on Resource Discovery Mechanisms, Peer-to-peer and Service Discovery Frameworks,” Computer Networks, Vol. 52, No. 11, pp. 2097-2128.
[38]R.C. Merkle(1988), “A Digital Signature based on a Conventional Encryption Function,” Lecture Notes in Computer Science, Vol. 293, pp. 369-378.
[39]M.P. Papazoglou(2003), “Service-oriented Computing: Concepts, Characteristics and Directions,” Proceedings of the Fourth International Conference on Web Information Systems Engineering, pp. 3-12.
[40]J. Pasley(2005), “How BPEL and SOA are Changing Web Services Development, ” IEEE Internet Computing, Vol. 9, No. 3, pp. 60-67.
[41]A. Perrig, R. Szewczyk, V. Wen, D. Cullar and J.D. Tygar(2002), “SPINS: Security Protocols for Sensor Networks,” Wireless Networks, Vol. 8, No. 5, pp. 521-534.
[42]D. Pointcheval and J. Stern(2000), “Security Arguments for Digital Signatures and Blind Signatures,” Journal of Cryptology, Vol. 13, No. 3, pp. 361-396.
[43]M. Presser, P. Barnaghi, M. Eurich and C. Villalonga(2009), “The SENSEI Project: Integrating the Physical World with the Digital World of the Network of the Future,” IEEE Communications Magazine, Vol. 47, No. 4, pp. 1-4.
[44]X. Ren and H. Yu(2006), “Security Mechanisms for Wireless Sensor Networks,” International Journal of Computer Science and Network Security, Vol. 6, No. 3, pp. 155-156.
[45]RL. Rivest, A. Shamir and L. Adleman(1978), “A Method for Obtaining Digital Signatures and Public-key Cryptosystems,” Communications of the ACM, Vol. 21, No. 2, pp. 120-126.
[46]A.C. Sarma and J. João(2009), “Identities in the Future Internet of Things,” Wireless Personal Communications, Vol. 49, No.3, pp. 3535-363.
[47]S. E. Sarma, S. A. Weis and D. W. Engels(2002), “RFID Systems and Security and Privacy Implications,” Proceeding of the 4th International Workshop on Cryptographic Hardware and Embedded Systems, pp.454-469.
[48]R. Schoenen and B.H. Walke(2007), “On PHY and MAC Performance of 3G-LTE in a Multi-hop Cellular Environment,” Proceeding of the International Conference on Wireless Communications, Networking and Mobile Computing, pp. 926-929.
[49]D. Sun and B. He(2006), “Review of Key Management Mechanisms in Wireless Sensor Networks,” Acta Automatica Sinica, Vol. 32, No. 6, pp. 900-906.
[50]T. Teixeira, S. Hachem, V. Issarny and N. Georgantas(2011), “Service Oriented Middleware for the Internet of Things: A Perspective,” Towards a Service-Based Internet Lecture Notes in Computer Science, Vol. 6994, pp 220-229.
[51]B. Wang(2009), “Review on Internet of Things,” Journal of Electronic Measurement and Instrument, Vol. 23, No. 12.
[52]E. Welbourne, L. Battle, G. Cole, K. Gould, K. Rector, S. Raymer, M. Balazinska and G. Borriello(2009), “Building the Internet of Things using RFID: The RFID Ecosystem Experience,” IEEE Internet Computing, Vol. 13, No.3, pp. 48-55.
[53]Y. Xiao(2007), Security in Distributed, Grid, Mobile and Pervasive Computing, CRC Press, Auerbach Publications.
[54]Y. Xue, L. Zhihua, G. Zhenmin and Z. Haitao(2012), “A Multi-layer Security Model for Internet of Things,” Internet of Things Communications in Computer and Information Science, Vol. 312, pp 388-393.
[55]K.Q. Yan, S.C. Wang, C.P. Chang, and J.S. Lin(2006), “A Hybrid Load Balancing Policy Underlying Grid Computing Environment,” Computer Standards & Interfaces, Vol. 29, No. 2, pp. 161-173.
[56]S.P. Yen, S. Talwar, S.C. Lee and H. Kim(2008), “WiMax Femtocells: a Perspective on Network Architecture, Capacity, and Coverage,” IEEE Communications Magazine, Vol. 46, No. 10, pp. 58-65.
[57]W. Zhang and K. Hansen(2008), “Semantic Web Based Self-management for a Pervasive Service Middleware,” Proceedings of the 2th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp. 245-254.
[58]W. Zhang and K. Hansen(2009), “An Evaluation of the NSGA-II and MOCell Genetic Algorithms for Self-management Planning in a Pervasive Service Middleware.” Proceedings of the 14th IEEE International Conference on Engineering of Complex Computer Systems, pp. 192-201.
[59]J. Zhang and V. Varadharajan(2010), “Wireless Sensor Network Key Management Survey and Taxonomy,” Journal of Network and Computer Applications, Vol. 33, No. 2, pp.63-75.
[60]Q. Zhou and J. Zhang(2011), “Research Prospect of Internet of Things Geography,” Proceeding of the 19th International Conf. on Geoinformatics, pp.1-5.
[61]F. Zhu, M. Mutka and L. Ni(2005), “Service Discovery in Pervasive Computing Environments,” IEEE Pervasive Computing, Vol. 4, No. 4, pp. 81-90.
[62]S. Zhu, S. Setia and S. Jajodia(2006), “LEAP: Efficient Security Mechanisms for Large-scale Distributed Sensor Networks,” ACM Transactions on Sensor Networks (TOSN), Vol. 2, No. 4, pp. 62-72.
[63]CoBIs project, Cobis final project report deliverable 104 v 2.0, Tech. Rep., 2007, http://www.cobis-online.de/files/Deliverable_D104V2.pdf, October 10, 2015 Retrieved.
[64]European Commission, “ICT in FP7” http://www.libnet.sh.cn:82/gate/big5/cordis.europa.eu/fp7/ict/, October 10, 2015 Retrieved.
[65]M. Dekker and G. Hogben(2011), “Survey and Analysis of Security Parameters in Cloud SLAs Across the European Public Sector,” European Union Agency for Network and Information Security, ht3PS://www.enisa.europa.eu/activities/Resilience-and-CIIP/cloud-computing/survey-and-analysis-of-security-parameters-in-cloud-slas-across-the-european-public-sector, October 10, 2015 Retrieved.
[66]International Telecommunications Union, 2005, ITU Internet Reports 2005: The Internet of Things. Executive Summary, Geneva: ITU, October 10, 2015 Retrieved.
[67]Microsoft, “SOA Overview,” Nov. 2012, http://www.microsoft.com/taiwan/msdn/columns/soa/SOA_overview_2004112901.htm, October 10, 2015 Retrieved.
[68]MIT, “MIT Auto-ID Laboratory,” 2010, http://autoid.mit.edu/cs/, October 10, 2015 Retrieved.
[69]RFC2460-“IPv6” 1998, http://tools.ietf. org/html/rfc2460, October 10, 2015 Retrieved.
[70]The Network Simulator - ns-2l, August 2010, http://www.isi.edu/nsnam/ns/, October 10, 2015 Retrieved.