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Published in: Peer-to-Peer Networking and Applications 5/2021

04-02-2021

A decision support system for the uses of lightweight blockchain designs for P2P computing

Authors: Yuyu Meng, Shah Nazir, Jing Guo, Irfan Uddin

Published in: Peer-to-Peer Networking and Applications | Issue 5/2021

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Abstract

Peer-to-peer networking is a disseminated architecture application which partition the workload among peers. The peers are distributed with equal privileges pertaining the equipotent application. The peers are making portion of their resources including disk storage, processing power, bandwidth, which is in a straight line available to the participants of the network deprived of central management by host. The decision support system in the design of peer-to-peer computing based on lightweight blockchain plays an important role for the smooth activities of the peer-to-peer computing. Early decision making in peer-to-peer computing for the lightweight blockchain can save time, cost, bandwidth, effort, and other resources. A flawless system is the dire need for enhancing the computation efficiency of the peer-to-peer computing. The aim of the proposed research is to offer a decision support system for the uses of lightweight blockchain design for peer-to-peer computing. The SuperDecisions tool was used to plot the hierarchy of situations of the uses of blockchain for the design of peer-to-peer computing. The system enhance the early decision making for the uses of lightweight blockchiarn for effective peer-to-peer computing. The results of the proposed study elaborates the significant use of lightweight blockchain against peer-to-peer computing.

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Literature
1.
go back to reference Steffenel LA, Pinheiro MK (2018) Improving data locality in P2P-based fog computing platforms. Procedia Comput Sci 141:72–79CrossRef Steffenel LA, Pinheiro MK (2018) Improving data locality in P2P-based fog computing platforms. Procedia Comput Sci 141:72–79CrossRef
2.
go back to reference Tian Z, Yan B, Guo Q, Huang J, Du Q (2020) Feasibility of identity authentication for IoT based on Blockchain. Procedia Comput Sci 174:328–332CrossRef Tian Z, Yan B, Guo Q, Huang J, Du Q (2020) Feasibility of identity authentication for IoT based on Blockchain. Procedia Comput Sci 174:328–332CrossRef
3.
go back to reference Chen S, Yang L, Zhao C, Varadarajan V, Wang K (2020) Double-blockchain assisted secure and anonymous data aggregation for fog-enabled smart grid. Engineering Chen S, Yang L, Zhao C, Varadarajan V, Wang K (2020) Double-blockchain assisted secure and anonymous data aggregation for fog-enabled smart grid. Engineering
4.
go back to reference Jangirala S, Das AK, Vasilakos A (2019) Designing secure lightweight blockchain-enabled RFID-based authentication protocol for supply chains in 5G mobile edge computing environment. IEEE Trans Ind Informa Jangirala S, Das AK, Vasilakos A (2019) Designing secure lightweight blockchain-enabled RFID-based authentication protocol for supply chains in 5G mobile edge computing environment. IEEE Trans Ind Informa
5.
go back to reference Ge C, Liu Z, Fang L (2020) A blockchain based decentralized data security mechanism for the internet of things. J Parallel Distrib Comput Ge C, Liu Z, Fang L (2020) A blockchain based decentralized data security mechanism for the internet of things. J Parallel Distrib Comput
6.
go back to reference Tang W, Zhao X, Rafique W, Qi L, Dou W, Ni Q (2019) An offloading method using decentralized P2P-enabled mobile edge servers in edge computing. J Syst Archit 94:1–13CrossRef Tang W, Zhao X, Rafique W, Qi L, Dou W, Ni Q (2019) An offloading method using decentralized P2P-enabled mobile edge servers in edge computing. J Syst Archit 94:1–13CrossRef
7.
go back to reference Dorri A, Kanhere SS, Jurdak R, Gauravaram P (2019) LSB: a lightweight scalable Blockchain for IoT security and anonymity. J Parallel Distrib Comput 134:180–197CrossRef Dorri A, Kanhere SS, Jurdak R, Gauravaram P (2019) LSB: a lightweight scalable Blockchain for IoT security and anonymity. J Parallel Distrib Comput 134:180–197CrossRef
8.
go back to reference Sengupta J, Ruj S, Bit SD (2020) A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT. J Network Comput Appl 149:102481CrossRef Sengupta J, Ruj S, Bit SD (2020) A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT. J Network Comput Appl 149:102481CrossRef
9.
go back to reference Ghosh A, Gupta S, Dua A, Kumar N (2020) Security of Cryptocurrencies in blockchain technology: State-of-art, challenges and future prospects. J Netw Comput Appl:102635 Ghosh A, Gupta S, Dua A, Kumar N (2020) Security of Cryptocurrencies in blockchain technology: State-of-art, challenges and future prospects. J Netw Comput Appl:102635
10.
go back to reference Nguyen DC, Pathirana PN, Ding M, Seneviratne A (2019) Blockchain for 5g and beyond networks: A state of the art survey. arXiv preprint arXiv 05062 Nguyen DC, Pathirana PN, Ding M, Seneviratne A (2019) Blockchain for 5g and beyond networks: A state of the art survey. arXiv preprint arXiv 05062
11.
go back to reference Conti M, Hassan M, Lal C (2019) BlockAuth: BlockChain based distributed producer authentication in ICN. Comput Netw 164:106888CrossRef Conti M, Hassan M, Lal C (2019) BlockAuth: BlockChain based distributed producer authentication in ICN. Comput Netw 164:106888CrossRef
12.
go back to reference Uddin MA, Stranieri A, Gondal I, Balasurbramanian V (2019) A Lightweight Blockchain Based Framework for Underwater IoT. Electronics 8(12):1552CrossRef Uddin MA, Stranieri A, Gondal I, Balasurbramanian V (2019) A Lightweight Blockchain Based Framework for Underwater IoT. Electronics 8(12):1552CrossRef
13.
go back to reference Liu Y, Wang K, Lin Y, Xu W (2019) LightChain: a lightweight Blockchain system for industrial internet of things. IEEE Trans Industrial Inform 15(6):3571–3581CrossRef Liu Y, Wang K, Lin Y, Xu W (2019) LightChain: a lightweight Blockchain system for industrial internet of things. IEEE Trans Industrial Inform 15(6):3571–3581CrossRef
14.
go back to reference Viriyasitavat W, Hoonsopon D (2019) Blockchain characteristics and consensus in modern business processes. J Ind Inf Integr 13:32–39 Viriyasitavat W, Hoonsopon D (2019) Blockchain characteristics and consensus in modern business processes. J Ind Inf Integr 13:32–39
15.
go back to reference Zhang G, Lu J, Gao Y (2015) Decision Making and Decision Support Systems. In: Multi-level decision making: Models, methods and applications. Springer Berlin Heidelberg, 2, sec. Springer, Berlin, pp 3–24MATH Zhang G, Lu J, Gao Y (2015) Decision Making and Decision Support Systems. In: Multi-level decision making: Models, methods and applications. Springer Berlin Heidelberg, 2, sec. Springer, Berlin, pp 3–24MATH
16.
go back to reference Kaklauskas A (2015) Intelligent Decision Support Systems. In: Biometric and intelligent decision making support. Springer International Publishing, sec. Springer, Cham, pp 31–85 Kaklauskas A (2015) Intelligent Decision Support Systems. In: Biometric and intelligent decision making support. Springer International Publishing, sec. Springer, Cham, pp 31–85
17.
go back to reference J. C. Leyva López, P. A. Álvarez Carrillo, D. A. Gastélum Chavira, and J. J. Solano Noriega, "A web-based group decision support system for multicriteria ranking problems," Oper Res, J article vol. 17, no. 2, pp. 499–534, July 01 2017, doi: https://doi.org/10.1007/s12351-016-0234-0 J. C. Leyva López, P. A. Álvarez Carrillo, D. A. Gastélum Chavira, and J. J. Solano Noriega, "A web-based group decision support system for multicriteria ranking problems," Oper Res, J article vol. 17, no. 2, pp. 499–534, July 01 2017, doi: https://​doi.​org/​10.​1007/​s12351-016-0234-0
20.
go back to reference Petkovics I, Simon J, Petkovics Á, Čović Z (2017) Selection of unmanned aerial vehicle for precision agriculture with multi-criteria decision making algorithm. In: 2017 IEEE 15th international symposium on intelligent systems and informatics (SISY), pp 14–16, IEEE Xplore, pp. 000151–000156. https://doi.org/10.1109/SISY.2017.8080543CrossRef Petkovics I, Simon J, Petkovics Á, Čović Z (2017) Selection of unmanned aerial vehicle for precision agriculture with multi-criteria decision making algorithm. In: 2017 IEEE 15th international symposium on intelligent systems and informatics (SISY), pp 14–16, IEEE Xplore, pp. 000151–000156. https://​doi.​org/​10.​1109/​SISY.​2017.​8080543CrossRef
21.
go back to reference Fleig C, Augenstein D, Maedche A (2018) Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects. In: Cham. Springer International Publishing, in Business Process Management Forum, Springer, pp 228–244 Fleig C, Augenstein D, Maedche A (2018) Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects. In: Cham. Springer International Publishing, in Business Process Management Forum, Springer, pp 228–244
22.
go back to reference J. Lee, H. Cho, and Y. S. Kim, "Agile Supply Chain Decision Support System," In: Reshaping society through analytics, collaboration, and decision support: role of business intelligence and social media, L. S. Iyer and D. J. Power Eds. Cham: Springer International Publishing, 2015, sec. Springer, pp. 29–50 J. Lee, H. Cho, and Y. S. Kim, "Agile Supply Chain Decision Support System," In: Reshaping society through analytics, collaboration, and decision support: role of business intelligence and social media, L. S. Iyer and D. J. Power Eds. Cham: Springer International Publishing, 2015, sec. Springer, pp. 29–50
23.
24.
go back to reference J. Mar-Ortiz, M. D. Gracia, and N. Castillo-García, "Challenges in the Design of Decision Support Systems for Port and Maritime Supply Chains," In: Exploring intelligent decision support systems: current state and new trends, R. Valencia-García, M. A. Paredes-Valverde, M. D. P. Salas-Zárate, and G. Alor-Hernández Eds. Cham: Springer International Publishing, 2018, sec. Springer, pp. 49–71 J. Mar-Ortiz, M. D. Gracia, and N. Castillo-García, "Challenges in the Design of Decision Support Systems for Port and Maritime Supply Chains," In: Exploring intelligent decision support systems: current state and new trends, R. Valencia-García, M. A. Paredes-Valverde, M. D. P. Salas-Zárate, and G. Alor-Hernández Eds. Cham: Springer International Publishing, 2018, sec. Springer, pp. 49–71
28.
go back to reference Hamrouni B, Korichi A, Bourouis A (2018, ACM: ACM) IDSS-BM: Intelligent Decision Support System for Business Models. In: Proceedings of the 7th international conference on software engineering and new technologies, p 3 Hamrouni B, Korichi A, Bourouis A (2018, ACM: ACM) IDSS-BM: Intelligent Decision Support System for Business Models. In: Proceedings of the 7th international conference on software engineering and new technologies, p 3
31.
go back to reference M. Gomes, F. Andrade, and P. Novais, "Enhancing Municipal Decision-Making Through an Intelligent Conflict Support System." Cham, 2016, Springer: Springer International Publishing, in Digital Transformation and Global Society, pp. 189–204 M. Gomes, F. Andrade, and P. Novais, "Enhancing Municipal Decision-Making Through an Intelligent Conflict Support System." Cham, 2016, Springer: Springer International Publishing, in Digital Transformation and Global Society, pp. 189–204
32.
go back to reference Karlsson I, Ng AHC, Syberfeldt A, Bandaru S (2015) An interactive decision support system using simulation-based optimization and data mining (proceedings of the 2015 winter simulation conference). IEEE Press, Huntington Beach, California, pp 2112–2123 Karlsson I, Ng AHC, Syberfeldt A, Bandaru S (2015) An interactive decision support system using simulation-based optimization and data mining (proceedings of the 2015 winter simulation conference). IEEE Press, Huntington Beach, California, pp 2112–2123
33.
go back to reference Sadeghian R, Sadeghian MR (2016) A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system. Int J Adv Manuf Technol 82(9–12):1795–1803CrossRef Sadeghian R, Sadeghian MR (2016) A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system. Int J Adv Manuf Technol 82(9–12):1795–1803CrossRef
34.
go back to reference Shin S-J, Kim DB, Shao G, Brodsky A, Lechevalier D (2017) Developing a decision support system for improving sustainability performance of manufacturing processes. J Intell Manuf 28(6):1421–1440CrossRef Shin S-J, Kim DB, Shao G, Brodsky A, Lechevalier D (2017) Developing a decision support system for improving sustainability performance of manufacturing processes. J Intell Manuf 28(6):1421–1440CrossRef
35.
go back to reference J. Gąbka and G. Filcek, "Multiple Criteria Decision Support System for Making the Best Manufacturing Technologies Choice and Assigning Contractors," Cham, 2018, Springer: Springer International Publishing, in Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017, pp. 314–323 J. Gąbka and G. Filcek, "Multiple Criteria Decision Support System for Making the Best Manufacturing Technologies Choice and Assigning Contractors," Cham, 2018, Springer: Springer International Publishing, in Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017, pp. 314–323
37.
go back to reference J. Papathanasiou, N. Ploskas, T. Bournaris, and B. Manos, "A Decision Support System for Multiple Criteria Alternative Ranking Using TOPSIS and VIKOR: A Case Study on Social Sustainability in Agriculture," Cham, 2016, Springer: Springer International Publishing, in Decision Support Systems VI - Addressing Sustainability and Societal Challenges, pp. 3–15 J. Papathanasiou, N. Ploskas, T. Bournaris, and B. Manos, "A Decision Support System for Multiple Criteria Alternative Ranking Using TOPSIS and VIKOR: A Case Study on Social Sustainability in Agriculture," Cham, 2016, Springer: Springer International Publishing, in Decision Support Systems VI - Addressing Sustainability and Societal Challenges, pp. 3–15
42.
go back to reference Safdar S, Zafar S, Zafar N, Khan NF (2018) Machine learning based decision support systems (DSS) for heart disease diagnosis: a review. Artif Intell Rev 50(4):597–623CrossRef Safdar S, Zafar S, Zafar N, Khan NF (2018) Machine learning based decision support systems (DSS) for heart disease diagnosis: a review. Artif Intell Rev 50(4):597–623CrossRef
43.
go back to reference Singh A, Pandey B (2018) A new intelligent medical decision support system based on enhanced hierarchical clustering and random decision Forest for the classification of alcoholic liver damage, primary Hepatoma, liver cirrhosis, and Cholelithiasis. J Healthcare Eng 2018:1469043–1469049. https://doi.org/10.1155/2018/1469043CrossRef Singh A, Pandey B (2018) A new intelligent medical decision support system based on enhanced hierarchical clustering and random decision Forest for the classification of alcoholic liver damage, primary Hepatoma, liver cirrhosis, and Cholelithiasis. J Healthcare Eng 2018:1469043–1469049. https://​doi.​org/​10.​1155/​2018/​1469043CrossRef
45.
go back to reference Zhuang Z-Y, Yang L-W, Lee M-H, Wang C-Y (2018) MEAN+R’: implementing a web-based, multi-participant decision support system using the prevalent MEAN architecture with R based on a revised intuitionistic-fuzzy multiple attribute decision-making model. Microsyst Technol, J 24(10):4291–4309. https://doi.org/10.1007/s00542-018-3755-zCrossRef Zhuang Z-Y, Yang L-W, Lee M-H, Wang C-Y (2018) MEAN+R’: implementing a web-based, multi-participant decision support system using the prevalent MEAN architecture with R based on a revised intuitionistic-fuzzy multiple attribute decision-making model. Microsyst Technol, J 24(10):4291–4309. https://​doi.​org/​10.​1007/​s00542-018-3755-zCrossRef
47.
go back to reference F. Taif, A. Namir, and M. Azouazi, "Modeling, Design and Development of a Multi-agent Decision Support System for the Real-Time Control of the Operating Theaters," Cham, 2019, Springer: Springer International Publishing, in Lecture Notes in Real-Time Intelligent Systems, pp. 3–16 F. Taif, A. Namir, and M. Azouazi, "Modeling, Design and Development of a Multi-agent Decision Support System for the Real-Time Control of the Operating Theaters," Cham, 2019, Springer: Springer International Publishing, in Lecture Notes in Real-Time Intelligent Systems, pp. 3–16
50.
go back to reference V. Kureichik and I. Safronenkova, "Ontology-Based Decision Support System for the Choice of Problem-Solving Procedure of Commutation Circuit Partitioning," Cham, 2017, Springer: Springer International Publishing, in Creativity in Intelligent Technologies and Data Science, pp. 467–478 V. Kureichik and I. Safronenkova, "Ontology-Based Decision Support System for the Choice of Problem-Solving Procedure of Commutation Circuit Partitioning," Cham, 2017, Springer: Springer International Publishing, in Creativity in Intelligent Technologies and Data Science, pp. 467–478
51.
go back to reference Martin A, Zarate P, Camillieri G (2017, sec. Springer) A Multi-Criteria Recommender System Based on Users’ Profile Management. In: Zopounidis C, Doumpos M (eds) Multiple Criteria Decision Making: Applications in Management and Engineering. Springer International Publishing, Cham, pp 83–98CrossRef Martin A, Zarate P, Camillieri G (2017, sec. Springer) A Multi-Criteria Recommender System Based on Users’ Profile Management. In: Zopounidis C, Doumpos M (eds) Multiple Criteria Decision Making: Applications in Management and Engineering. Springer International Publishing, Cham, pp 83–98CrossRef
52.
go back to reference Şener U, Gökalp E, Eren PE (2017) "ClouDSS: A Decision Support System for Cloud Service Selection," Cham. In: Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, Springer, pp 249–261CrossRef Şener U, Gökalp E, Eren PE (2017) "ClouDSS: A Decision Support System for Cloud Service Selection," Cham. In: Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, Springer, pp 249–261CrossRef
54.
go back to reference L. S. R. Supriadi and L. Sui Pheng, "Knowledge Based Decision Support System (KBDSS)," In: Business continuity management in construction. Singapore: Springer Singapore, 2018, sec. Springer, pp. 155–174 L. S. R. Supriadi and L. Sui Pheng, "Knowledge Based Decision Support System (KBDSS)," In: Business continuity management in construction. Singapore: Springer Singapore, 2018, sec. Springer, pp. 155–174
56.
go back to reference Ploskas N, Papathanasiou J A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments. Fuzzy Sets and Syst 377:1–30. 2019 https://doi.org/10.1016/j.fss.2019.01.012 Ploskas N, Papathanasiou J A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments. Fuzzy Sets and Syst 377:1–30. 2019 https://​doi.​org/​10.​1016/​j.​fss.​2019.​01.​012
57.
go back to reference S. Belciug and F. Gorunescu, "Data Mining-Based Intelligent Decision Support Systems," In: Intelligent Decision Support Systems—A Journey to Smarter Healthcare. Cham: Springer International Publishing, 2020, sec. Springer, pp. 103–258 S. Belciug and F. Gorunescu, "Data Mining-Based Intelligent Decision Support Systems," In: Intelligent Decision Support Systems—A Journey to Smarter Healthcare. Cham: Springer International Publishing, 2020, sec. Springer, pp. 103–258
58.
go back to reference A. K. Sangaiah, A. Abraham, P. Siarry, and M. Sheng, "Intelligent Decision Support Systems for Sustainable Computing," in Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications, A. K. Sangaiah, A. Abraham, P. Siarry, and M. Sheng Eds. Cham: Springer International Publishing, 2017, sec. Springer, pp. 1–6 A. K. Sangaiah, A. Abraham, P. Siarry, and M. Sheng, "Intelligent Decision Support Systems for Sustainable Computing," in Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications, A. K. Sangaiah, A. Abraham, P. Siarry, and M. Sheng Eds. Cham: Springer International Publishing, 2017, sec. Springer, pp. 1–6
59.
go back to reference B. V. Sokolov, V. A. Zelentsov, O. Brovkina, A. N. Pavlov, V. F. Mochalov, and S. A. Potryasaev, "Intelligent Integrated Decision Support Systems for Territory Management," Cham, 2015, Springer: Springer International Publishing, in Artificial Intelligence Perspectives and Applications, pp. 321–331 B. V. Sokolov, V. A. Zelentsov, O. Brovkina, A. N. Pavlov, V. F. Mochalov, and S. A. Potryasaev, "Intelligent Integrated Decision Support Systems for Territory Management," Cham, 2015, Springer: Springer International Publishing, in Artificial Intelligence Perspectives and Applications, pp. 321–331
61.
go back to reference Hua TM, Nguyen TK, Thi HVD, Thi NAN (2016) Towards a decision support system for municipal waste collection by integrating geographical information system map, smart devices and agent-based model (proceedings of the seventh symposium on information and communication technology). Association for Computing Machinery, Ho Chi Minh City, Vietnam pp. 139–146 Hua TM, Nguyen TK, Thi HVD, Thi NAN (2016) Towards a decision support system for municipal waste collection by integrating geographical information system map, smart devices and agent-based model (proceedings of the seventh symposium on information and communication technology). Association for Computing Machinery, Ho Chi Minh City, Vietnam pp. 139–146
62.
go back to reference Petrillo A, Carotenuto P, Baffo I, De Felice F (2018) A web-based multiple criteria decision support system for evaluation analysis of carpooling. Environ Dev Sustain 20(5):2321–2341CrossRef Petrillo A, Carotenuto P, Baffo I, De Felice F (2018) A web-based multiple criteria decision support system for evaluation analysis of carpooling. Environ Dev Sustain 20(5):2321–2341CrossRef
63.
go back to reference A. Baykasoğlu et al., "Development of a Web-Based Decision Support System for Strategic and Tactical Sustainable Fleet Management Problems in Intermodal Transportation Networks," in Lean and Green Supply Chain Management: Optimization Models and Algorithms, T. Paksoy, G.-W. Weber, and S. Huber Eds. Cham: Springer International Publishing, 2019, sec. Springer, pp. 189–230 A. Baykasoğlu et al., "Development of a Web-Based Decision Support System for Strategic and Tactical Sustainable Fleet Management Problems in Intermodal Transportation Networks," in Lean and Green Supply Chain Management: Optimization Models and Algorithms, T. Paksoy, G.-W. Weber, and S. Huber Eds. Cham: Springer International Publishing, 2019, sec. Springer, pp. 189–230
64.
go back to reference B. Galińska, "Intelligent Decision Making in Transport. Evaluation of Transportation Modes (Types of Vehicles) Based on Multiple Criteria Methodology," Cham, 2019, Springer: Springer International Publishing, in Integration as Solution for Advanced Smart Urban Transport Systems, pp. 161–172 B. Galińska, "Intelligent Decision Making in Transport. Evaluation of Transportation Modes (Types of Vehicles) Based on Multiple Criteria Methodology," Cham, 2019, Springer: Springer International Publishing, in Integration as Solution for Advanced Smart Urban Transport Systems, pp. 161–172
65.
go back to reference A. Pashkevich, K. Shubenkova, I. Makarova, and D. Sabirzyanov, "Decision Support System to Improve Delivery of Large and Heavy Goods by Road Transport," Cham, 2019, Springer: Springer International Publishing, in Integration as Solution for Advanced Smart Urban Transport Systems, pp. 13–22 A. Pashkevich, K. Shubenkova, I. Makarova, and D. Sabirzyanov, "Decision Support System to Improve Delivery of Large and Heavy Goods by Road Transport," Cham, 2019, Springer: Springer International Publishing, in Integration as Solution for Advanced Smart Urban Transport Systems, pp. 13–22
66.
go back to reference Y. P. Kondratenko, G. Kondratenko, and I. Sidenko, "Intelligent Decision Support System for Selecting the University-Industry Cooperation Model Using Modified Antecedent-Consequent Method," Cham, 2018, Springer: Springer International Publishing, in Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, pp. 596–607 Y. P. Kondratenko, G. Kondratenko, and I. Sidenko, "Intelligent Decision Support System for Selecting the University-Industry Cooperation Model Using Modified Antecedent-Consequent Method," Cham, 2018, Springer: Springer International Publishing, in Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, pp. 596–607
68.
go back to reference R. Attardi, M. Cerreta, and G. Poli, "A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation," Cham, 2015, Springer: Springer International Publishing, in Computational Science and Its Applications -- ICCSA 2015, pp. 782–797 R. Attardi, M. Cerreta, and G. Poli, "A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation," Cham, 2015, Springer: Springer International Publishing, in Computational Science and Its Applications -- ICCSA 2015, pp. 782–797
69.
go back to reference M. Cerreta, S. Panaro, and G. Poli, "A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy)," Cham, 2016, Springer: Springer International Publishing, in Computational Science and Its Applications -- ICCSA 2016, pp. 111–124 M. Cerreta, S. Panaro, and G. Poli, "A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy)," Cham, 2016, Springer: Springer International Publishing, in Computational Science and Its Applications -- ICCSA 2016, pp. 111–124
71.
go back to reference R. Mukhamediev, R. Mustakayev, K. Yakunin, S. Kiseleva, and V. Gopejenko, "Multi-criteria decision support system for RES evaluation," in 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), 17–19 Oct. 2018 2018, IEEE Xplore, pp. 1–6, doi: https://doi.org/10.1109/ICAICT.2018.8747031 R. Mukhamediev, R. Mustakayev, K. Yakunin, S. Kiseleva, and V. Gopejenko, "Multi-criteria decision support system for RES evaluation," in 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), 17–19 Oct. 2018 2018, IEEE Xplore, pp. 1–6, doi: https://​doi.​org/​10.​1109/​ICAICT.​2018.​8747031
73.
74.
go back to reference S. Gowri, S. Vigneshwari, R. Sathiyavathi, and T. R. Kalai Lakshmi, "A Framework for Group Decision Support System Using Cloud Database for Broadcasting Earthquake Occurrences," Singapore, 2016, Springer: Springer Singapore, in Proceedings of the International Congress on Information and Communication Technology, pp. 611–615 S. Gowri, S. Vigneshwari, R. Sathiyavathi, and T. R. Kalai Lakshmi, "A Framework for Group Decision Support System Using Cloud Database for Broadcasting Earthquake Occurrences," Singapore, 2016, Springer: Springer Singapore, in Proceedings of the International Congress on Information and Communication Technology, pp. 611–615
75.
go back to reference Rauner MS, Niessner H, Odd S, Pope A, Neville K, O’Riordan S, Sasse L, Tomic K (2018) An advanced decision support system for European disaster management: the feature of the skills taxonomy. CEJOR 26(2):485–530MathSciNetCrossRef Rauner MS, Niessner H, Odd S, Pope A, Neville K, O’Riordan S, Sasse L, Tomic K (2018) An advanced decision support system for European disaster management: the feature of the skills taxonomy. CEJOR 26(2):485–530MathSciNetCrossRef
76.
go back to reference M. S. E. Mohamed and A. A. Binsultan, "Developing an Intelligent Decision Support System Approach for Crisis Preparedness," Cham, 2017, Springer: Springer International Publishing, in Recent Advances in Information Systems and Technologies, pp. 690–699 M. S. E. Mohamed and A. A. Binsultan, "Developing an Intelligent Decision Support System Approach for Crisis Preparedness," Cham, 2017, Springer: Springer International Publishing, in Recent Advances in Information Systems and Technologies, pp. 690–699
77.
go back to reference Nazir S, Shahzad S, Mahfooz S, Jan MN (2015) Fuzzy logic based decision support system for component security evaluation. International Arab Journal of Information and Technology 15(2):1–9 Nazir S, Shahzad S, Mahfooz S, Jan MN (2015) Fuzzy logic based decision support system for component security evaluation. International Arab Journal of Information and Technology 15(2):1–9
78.
go back to reference J. Zhang, S. Nazir, A. Huang, and A. Alharbi, "Multicriteria decision and machine learning algorithms for component security evaluation: library-based overview," Security and Communication Networks, 2020 J. Zhang, S. Nazir, A. Huang, and A. Alharbi, "Multicriteria decision and machine learning algorithms for component security evaluation: library-based overview," Security and Communication Networks, 2020
79.
go back to reference T. Ahmad, Y. Ma, M. Yahya, B. Ahmad, and S. Nazir, "Object Detection through Modified YOLO Neural Network, An Intelligent Decision Support System," Scientific Programming, 2019 T. Ahmad, Y. Ma, M. Yahya, B. Ahmad, and S. Nazir, "Object Detection through Modified YOLO Neural Network, An Intelligent Decision Support System," Scientific Programming, 2019
80.
go back to reference Khan A et al (2019) Partial observer decision process model for crane-robot action. Sci Program Khan A et al (2019) Partial observer decision process model for crane-robot action. Sci Program
82.
go back to reference Li J et al (2020) Attributes based decision making for selection of requirements elicitation techniques using the analytic network process. Math Probl Eng Li J et al (2020) Attributes based decision making for selection of requirements elicitation techniques using the analytic network process. Math Probl Eng
83.
go back to reference Huang X, Nazir S (2020) Evaluating security of internet of medical things using the analytic network process methods. Security Comm Networks Huang X, Nazir S (2020) Evaluating security of internet of medical things using the analytic network process methods. Security Comm Networks
84.
go back to reference Nazir S, Shahzad S, Hussain Z, Iqbal M, Keerio A (2015) Evaluating Student Grades Using Analytic Network Process. Sindh Univ Res J (Science series) 47(1):1–5 Nazir S, Shahzad S, Hussain Z, Iqbal M, Keerio A (2015) Evaluating Student Grades Using Analytic Network Process. Sindh Univ Res J (Science series) 47(1):1–5
Metadata
Title
A decision support system for the uses of lightweight blockchain designs for P2P computing
Authors
Yuyu Meng
Shah Nazir
Jing Guo
Irfan Uddin
Publication date
04-02-2021
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 5/2021
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01083-9

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