Resources

Here we maintain a list of dew computing research papers that we are aware of. The criteria of inclusion are: dew computing is directly discussed in the paper; a paper will not be included if it references dew computing papers but does not discuss dew computing directly; the paper should be written in English; if the paper is in another language, it will be included only if it has an English abstract.

Publications

2015 (6)

[1] Yingwei Wang, (2015) “Cloud-dew architecture”, Int. J. Cloud Computing, Vol. 4, No. 3, pp.199–210, (submitted in Jul. 2013, accepted in Aug. 2014, and publicly online in Jan. 2015).

[2] Yingwei Wang and Yi Pan, Cloud-dew architecture: realizing the potential of distributed database systems in unreliable networks, the 21st International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’15 ), Las Vegas, Jul. 2015.

[3] Yingwei Wang, The Initial Definition of Dew Computing, Dew Computing Research, Nov. 10, 2015.

[4] Yingwei Wang, The Relationships among Cloud Computing, Fog Computing, and Dew Computing, Dew Computing Research, Nov. 12, 2015.

[5] Zhebin Kang, A New Method to Implement LDNS in the Cloud-dew Architecture, CSIT Research Report, CS-21, University of Prince Edward Island, Nov. 17, 2015.

[6] Karolj Skala, Davor Davidovic, Enis Afgan, Ivan Sovic, Zorislav Sojat, Scalable Distributed Computing Hierarchy: Cloud, Fog and Dew Computing, Open Journal of Cloud Computing (OJCC) Volume 2, Issue 1, pp.16–24, 2015.

2016 (9)

[7] S. Ristov, K. Cvetkov, and M. Gusev, “Implementation of a Horizontal Scalable Balancer for Dew Computing Services,” Scalable Computing: Practice and Experience, vol.17, no. 2, pp. 79–90, 2016.

[8] Yingwei Wang, “Definition and Categorization of Dew Computing,” Open Journal of Cloud Computing (OJCC), vol. 3, no. 1, pp. 1-7, 2016.

[9] Z. Šojat and K. Skala (Ruđer Bošković Institute, Centre for informatics and Computing, Zagreb, Croatia), Views on the Role and Importance of Dew Computing in the Service and Control Technology, Invited Lecture, Distributed Computing, Visualization and Biomedical Engineering Conference, part of the 39th international convention on information and communication technology, electronics and microelectronics (DC VIS 2016) , June 2, 2016, Opatija, Croatia.

[10] Tushar Mane, Fog-Dew Architecture for Better Consistency, https://eye3i.wordpress.com/2016/07/02/adressing-inconsistency-in-dew-computing-using-fog-computing/, July 2, 2016.

[11] Tatiana Aubonnet, Amina Boubendir, Frédéric Lemoine, Nöemie Simoni, Controlled Components for Internet of Things As-A-Service, Open Journal of Internet Of Things (OJIOT), 2(1), Pages 16-33, 2016.

[12] David Edward Fisher and Shuhui Yang, “Doing More with the Dew: A New Approach to Cloud-Dew Architecture,” Open Journal of Cloud Computing (OJCC), vol. 3, no. 1, pp. 8-19, 2016.

[13] Andy Rindos and Yingwei Wang, “Dew Computing: the Complementary Piece of Cloud Computing“, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom), pp. 15-20, Oct. 8-10, 2016, Atlanta, Georgia, USA (DOI 10.1109/BDCloud-SocialCom-SustainCom.2016.14).

[14] Yingwei Wang and David LeBlanc, “Integrating SaaS and SaaP with Dew Computing“, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom), pp. 590-594, Oct. 8-10, 2016, Atlanta, Georgia, USA (DOI 10.1109/BDCloud-SocialCom-SustainCom.2016.92).

[15] Zlatanov Nikola, The data center evolution from Mainframe to Cloud, Researchgate. 2016.

2017 (33)

[16] Christian Baun, Henry-Norbert Cocos, Rosa-Maria Spanou, Performance Aspects of Object-based Storage Services on Single Board Computers, Christian Baun, Henry-Norbert Cocos, Rosa-Maria Spanou, Open Journal of Cloud Computing (OJCC), 4(1), Pages 1-16, 2017.

[17] Ana Sofía Zalazar, Luciana Ballejos, Sebastian Rodriguez, Security and Compliance Ontology for Cloud Service Agreements, Open Journal of Cloud Computing (OJCC), 4(1), Pages 17-25, 2017.

[19] G. A. Oparin, V. G. Bogdanova, S. A. Gorsky and A. A. Pashinin, “Service-oriented application for parallel solving the Parametric Synthesis Feedback problem of controlled dynamic systems,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017, pp. 353-358, doi: 10.23919/MIPRO.2017.7973448.

[20] Yu Gordienko, S. Stirenko, O. Alienin, K. Skala, Z. Sojat, A. Rojbi, J.R. Lopez Benito, E. Artetxe Gonzalez, U. Lushchyk, L. Sajn, A. Llorente Coto, G. Jervan, “Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the basis of Cloud-Fog-Dew computing paradigm,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017, pp. 359-364, doi: 10.23919/MIPRO.2017.7973449.

[21] P. Brezany, T. Ludescher and T. Feilhauer, “Cloud-Dew computing support for automatic data analysis in life sciences,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017, pp. 365-370, doi: 10.23919/MIPRO.2017.7973450.

[22] N. Crnko, “Distributed Database System as a base for multilanguage support for legacy software,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017, pp. 371-374, doi: 10.23919/MIPRO.2017.7973451.

[23] M. Gusev, “A dew computing solution for IoT streaming devices,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017, pp. 387-392, doi: 10.23919/MIPRO.2017.7973454.

[27] T.Lipic, K. Skala, The Key Drivers of Emerging Socio-Technical Systems: A Perspective of Dew computing in Cyber-Physical Systems, Oral Presentation, DEWCOM 2017, May 24, 2017, Opatija, Croatia.

[28] Y. Wang, An Attempt to Model Dew Computing, Oral Presentation, DEWCOM 2017, May 24, 2017, Opatija, Croatia.

[29] Yi Pan and Guangchun Luo, Cloud Computing, Fog Computing, and Dew Computing, ZTE Communications. 2017, Vol. 15, No. 4, pp. 1-2 (Editorial).

[30] Yuezhi Zhou, Di Zhang, and Yaoxue Zhang, A Transparent and User⁃Centric Approach to Unify Resource Management and Code Scheduling of Local, Edge, and Cloud, ZTE Communications. 2017, Vol. 15, No. 4, pp. 3-11.

[31] Yingwei Wang, Karolj Skala, Andy Rindos, Marjan Gusev, Shuhui Yang, and Yi Pan, Dew Computing and Transition of Internet Computing Paradigms, ZTE Communications. 2017, Vol. 15, No. 4, pp. 30-37.

[32] Rossitza Goleva, Aleksandar Savov, Ivelin Andreev, Rumen Stainov, Jugoslav Achkoski, Nikola Kletnikov, Igorche Karafilovski, Cloud, Fog, Dew and Smart Dust Platform for Environmental Analysis, the 13th Annual International Conference on Computer Science and Education in Computer Science, Jun. 30 – Jul. 3, 2017, Albena, Bulgaria.

[33] Marjan Gusev, Sasko Ristov, Radu Prodan, Matija Dzanko, Ivana Bilić, Resilient IoT eHealth solutions in case of disasters,  9th International Workshop on Resilient Networks Design and Modeling (RNDM), Sept. 4 – 6,  2017.

[34] Tushar S. Mane, Himanshu Agrawal, Cloud-fog-dew architecture for refined driving assistance: The complete service computing ecosystem, In International Conference on Ubiquitous Wireless Broadband (ICUWB), Salamanca, Spain, Pages 1-7, Sept. 12 – 15, 2017.

[35] Hiral Patel, Krunal Suthar, A novel approach for securely processing information on dew sites (Dew computing) in collaboration with cloud computing: An approach toward latest research trends on Dew computing, 2017 Nirma University International Conference on Engineering (NUiCONE), 23-25 Nov. 2017, Ahmedabad, India.

[36] Y. Zhou, D. Zhang, N. Xiong, Post-cloud computing paradigms: a survey and comparison, Tsinghua Science and Technology, 22(6), Pages 714-732, Dec. 14, 2017.

[37] G. Neagu and M. Ianculescu, “Abordarea dew computing ca extensie a arhitecturilor orientate cloud-analiza de oportunitate,” Revista Română de Informatică şi Automatică,  vol. 27, no. 4, 2017 (in Romanian, abstract in English).

[38] Preeti Mulay, Krishnal Patel and Hecto Gomez Gauchia. “Distributed System Implementation Based on “Ants Feeding Birds” Algorithm: Electronics Transformation via Animals and Human.” In Detecting and Mitigating Robotic Cyber Security Risks, ed. Raghavendra Kumar, Prasant Kumar Pattnaik and Priyanka Pandey, 51-85 (2017), doi:10.4018/978-1-5225-2154-9.ch005.

[39] Biljana Risteska Stojkoska, Kire Trivodaliev, and Danco Davcev, Internet of Things Framework for Home Care Systems, Wireless Communications and Mobile Computing, Vol. 2017, Article ID 8323646, https://doi.org/10.1155/2017/8323646.

[41] D. C. Klonoff, Fog Computing and Edge Computing Architectures for Processing Data From Diabetes Devices Connected to the Medical Internet of Things. Journal of Diabetes Science and Technology, 11(4), 647–652. 2017, https://doi.org/10.1177/1932296817717007.

[42] E. Luchian, A. Taut, I. Ivanciu, G. Lazar, and V. Dobrota, Mobile wireless sensor network gateway: A raspberry Pi implementation with a VPN backend to OpenStack, 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sept. 2017, pp. 1-5, 10.23919/SOFTCOM.2017.8115561.

[43] Ana Sofía Zalazar, Luciana Ballejos, and Sebastian Rodriguez, Security and Compliance Ontology for Cloud Service Agreements, Open Journal of Cloud Computing (OJCC), 4(1), Pages 17-25, 2017.

[44] Dennis Marten, Andreas Heuer, Machine Learning on Large Databases: Transforming Hidden Markov Models to SQL Statements, Open Journal of Databases (OJDB), 4(1), Pages 22-42, 2017

[45] Preeti Mulay, Swati Kadlag, and Ruchi Shirodkar, Smart Supply-Chain Management Learning System for Homeopathy, Indian Journal of Public Health Research & Development, Oct. – Dec. 2017, Vol. 8 Issue 4, pp.914-922.

[46] Jainish Rajesh Jain, A Secure Cloud Migration Framework For Cloud Computing, Master thesis, Jain University, Dec. 2017.

[47] Samiya Khan, Mansaf Alam, On Designing a Generic Framework for Cloud-based Big Data Analytics, arXiv, 1711.04628, 2017.

[48] Gabriel Neagu, Marilena Ianculescu, Dew Computing Approach as an Extension of Cloud Oriented Architectures – Opportunity Analysis (in Romanian), Romanian Journal of Computer Science and Automation, Vol. 27, 4, 2017.

2018 (33)

[49] Minoru Uehara, Mist Computing: Linking Cloudlet to Fogs. In: Lee R. (eds) Computational Science/Intelligence and Applied Informatics. Studies in Computational Intelligence, vol 726. Springer, 2018, Cham

[50] Patel H.M., Chaudhari R.R., Prajapati K.R., Patel A.A. (2018) The Interdependent Part of Cloud Computing: Dew Computing. In: Hu YC., Tiwari S., Mishra K., Trivedi M. (eds) Intelligent Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 19. Springer, Singapore.

[51] Partha Pratim Ray, An Introduction to Dew Computing: Definition, Concept and Implications, IEEE Access, Feb. 2018.

[52] Bhavya Modi, Krunal Suthar, Jayesh Mevada, A novel approach for Securely Processing Information on Dew Sites in cloud computing Environment, International Journal of Emerging Technologies and Innovative Research (JETIR), 5(2), 2018.

[53] Sven Groppe, Emergent models, frameworks, and hardware technologies for Big data analytics, The Journal of Supercomputing, Feb. 20, 2018.

[54] Kosay Jabre, Ryan Berry, Cal Morrison, and Yijun Ye, What is Dew Computing?, YouTube, Mar. 2018, https://www.youtube.com/watch?v=ewNWfOxmbg0.

[55] Jerzy Stanislaw Zielinski, Does Smart Grid need new Informatics Tools?, rzeglad Elektrotechniczny 1(4):32-34, April 2018.

[56] N. Axak, D. Rosinskiy, O. Barkovska, I. Novoseltsev, Cloud-fog-dew architecture for personalized service-oriented systems, 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), Pages 78-82, May 24 – 27, 2018.

[57] Samiya Khan, Mansaf Alam, On Designing a Generic Framework for Big Data-as-a-Service, 1st International Conference on Advanced Research in Engineering Science, June 2018,  Dubai, UAE.

[58] Marketa Janatova, Miroslav Uller, Olga Stepankova, Peter Brezany, Marek Lenart, A Novel Big Data-Enabled Approach, Individualizing and Optimizing Brain Disorder Rehabilitation, In Big Data for the Greater Good, Pages 101-127, July 14, 2018.

[59] Partha Pratim Ray. Minimizing dependency on internetwork: Is dew computing a solution? Transactions on Emerging Telecommunications Technologies, August 7, 2018, https://doi.org/10.1002/ett.3496

[60] Zhou Yue-Zhi, Zhang Di, Near-End Cloud Computing: Opportunities and Challenges in the Post-Cloud Computing Era, Chinese Journal of Computers, Vol.41, Online Publishing No.25, 2018 (in Chinese, abstract in English).

[61] Matías Hirsch, Cristian Mateos, Alejandro Zunino, Augmenting computing capabilities at the edge by jointly exploiting mobile devices: A survey, Future Generation Computer Systems, Volume 88, November 2018, Pages 644-662.

[62] Marjan Gusev. “Edge and Dew Computing for Streaming IoT”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 1–7.

[63] Marjan Gusev and Yingwei Wang. “Formal Description of Dew Computing”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 8–13.

[64] Tushar Mane, Himanshu Agrawal and Gurmeet Sigh Gill. “Enhancing Usability of Cloud Storage Clients with Dew Computing”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 14–19.

[65] Yi Pan, Parimala Thulasiraman and Yingwei Wang. “Overview of Cloudlet, Fog Computing, Edge Computing, and Dew Computing”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 20–23.

[66] Karolj Skala and Zorislav Sojat. “The Rainbow Global Service Ecosystem”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 25–30.

[67] Parimala Thulasiraman, Ruppa Thulasiram and Ying Ying Liu. “Vehicular Data Analytics Dew Computing”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 31–33.

[68] Yingwei Wang. “Dewblock: A Blockchain System Based on Dew Computing”. In: Proceedings of the 3rd International Workshop on Dew Computing. DEWCOM 2018. Toronto, Ontario, Canada, Oct. 2018, pp. 34–38.

[69] Yingwei Wang, Post-cloud Computing Models: from Cloud to CDEF. Dew Computing Research, Nov. 2018.

[70] Petra Loncar, Data-Intensive Computing Paradigms for Big Data, Proceedings of the 29th DAAAM International Symposium, pp.1010-1018, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-20-4, ISSN 1726-9679, Vienna, Austria, 2018.

[71] Archana Rajakaruna, Ahsan Manzoor, Pawani Porambage, Madhusanka Liyanage, Mika Ylianttila, Andrei Gurtov, Lightweight Dew Computing Paradigm to Manage Heterogeneous Wireless Sensor Networks with UAVs, arXiv, https://arxiv.org/abs/1811.04283v1, Nov. 2018.

[72] Longo M., Mateos C., Zunino A., A Model for Hour-Wise Prediction of Mobile Device Energy Availability. In: Latifi S. (eds) Information Technology – New Generations. Advances in Intelligent Systems and Computing, vol 738. 2018, Springer, Cham

[73] S. Zikos and H. Karatza, Allocating jobs of different priorities to a distributed system with heterogeneous resources, 2018 International Conference on Computer, Information and Telecommunication Systems (CITS), July 2018, pp. 1-5, 10.1109/CITS.2018.8440197.

[74] Biljana Risteska Stojkoska, Kire Trivodaliev, and Slobodan Kalajdziski, Internet of toys: state of the art and future applications, 8th International Conference on Information Society and Technology. May 2018.

[75] Min-Sik Son, Sang-Hwa Chung, and Won-Suk Kim, Fog-Server Placement Technique Based on Network Edge Area Traffic for a Fog-Computing Environment (In Japanese), Journal of KIISE, Vol. 45, No. 6, pp. 598-610, Jun. 2018.

[76] Mayra Samaniego, Cristian Espana, and Ralph Deters, Smart Virtualization for IoT, 2018 IEEE International Conference on Smart Cloud (SmartCloud)}, New York, NY, USA pp. 125-128, 10.1109/SmartCloud.2018.00028.

[77] David Fisher, Stefan Gloutnikov, Yaoyan Xi, and Sadib Khan, Viability of Dew Computing for Multilayered Networks, Semantic Scholar, 2018.

[78] Jitendcr Grover, Rama Murthy Garimella, Reliable and Fault-Tolerant IoT-Edge Architecture, 2018 IEEE Sensors, Oct. 2018, New Delhi, India.

[79] Michele Zanella, Giuseppe Massari, Andrea Galimberti, and William Fornaciari, Back to the Future: Resource Management in Post-cloud Solutions, Proceedings of the Workshop on Intelligent Embedded Systems Architectures and Applications, 2018, Turin, Italy, pp. 33–38,

[80] Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Longxiang Gao, Yong Xiang, and Rajiv Ranjan, Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions, IEEE Access, Aug. 2018.

[81] Petra Loncar (2018). Data-Intensive Computing Paradigms for Big Data, Proceedings of the 29th DAAAM International Symposium, pp.1010-1018, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-20-4, ISSN 1726-9679, Vienna, Austria, DOI: 10.2507/29th.daaam.proceedings.144

2019 (23)

[82] Partha Pratim Ray, Dinesh Dash, Debashis De, Internet of things-based real-time model study on e-healthcare: Device, message service and dew computing, Computer Networks, vol. 149, pp. 226 – 239, 2019.

[83] Mathias Longo, Matías Hirsch, Cristian Mateos, Alejandro Zunino, Towards Integrating Mobile Devices into Dew Computing: A Model for Hour-Wise Prediction of Energy Availability, Information 2019, 10(3), 86; https://doi.org/10.3390/info10030086.

[84] Partha Pratim Ray, Minimizing dependency on internetwork: Is dew computing a solution?, Transactions on Emerging Telecommunications Technologies, 2019;30:e3496. https://doi.org/10.1002/ett.3496

[85] Partha Pratim Ray, Dew Computing: A New Era of Computing Implying Minimization Over Internetwork Backhaul, IEEE India Info. Vol. 14 No. 1 pp.53-57, Jan-Mar 2019.

[86] Getenet Tefera, Kun She, and Farah Deeba, Decentralized Adaptive Latency-Aware Cloud-Edge-Dew Architecture for Unreliable Network, Proceedings of the 2019 11th International Conference on Machine Learning and Computing (ICMLC’19), pp. 142-146, Zhuhai, China, Feb. 22-24, 2019.

[87] R. Beregi, G. Pedone and I. Mezgár, A novel fluid architecture for cyber-physical production systems, International Journal of Computer Integrated Manufacturing, 2019, 32:4-5, pp. 340-351, DOI: 10.1080/0951192X.2019.1571239.

[88] Dogo E.M., Salami A.F., Aigbavboa C.O., and Nkonyana T., Taking Cloud Computing to the Extreme Edge: A Review of Mist Computing for Smart Cities and Industry 4.0 in Africa. In: Al-Turjman F. (eds) Edge Computing. EAI/Springer Innovations in Communication and Computing, 2019, Springer, Cham.

[89] Tahmasib Kh. Fataliyev, Shakir A. Mehdiyev, Integration of Cyber-Physical Systems in E-Science Environment: State-of-the-Art, Problems and Effective Solutions, I.J. Modern Education and Computer Science, 2019, Vol. 9, pp. 35-43.

[90] P. Brezany, M. Janatova, O. Stepankova, M. Lenart, M. Edward, M. Uller, and R. Burget, Management of Physiological Data Streams within Brain Disorder Rehabilitation, in 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019), 2019, pp. 381-386, 10.23919/MIPRO.2019.8756924.

[91] Wanlong Zhang, Xiang Wang, and Zhitao Huang, A System of Mining Semantic Trajectory Patterns from GPS Data of Real Users, Symmetry 2019, 11, 889; doi:10.3390/sym11070889.

[92] Janatova M., Uller M., Stepankova O., Brezany P., Lenart M. (2019) A Novel Big Data-Enabled Approach, Individualizing and Optimizing Brain Disorder Rehabilitation. In: Emrouznejad A., Charles V. (eds) Big Data for the Greater Good. Studies in Big Data, vol 42. Springer, Cham.

[93] Jitender Grover, Reliable Edge, Master thesis, International Institute of Information Technology, Hyderabad, India, Jun. 2019.

[94] C.T.B. Garrocho, and R.A.R. Oliveira, Counting time in drops: views on the role and importance of smartwatches in dew computing, Wireless Networks, June 2019.

[95] Gala Yadgar, Oleg Kolosov, Mehmet Fatih Aktas, and Emina Soljanin, Modeling The Edge: Peer-to-Peer Reincarnated, 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), Renton, WA, USA, Jul, 2019.

[96] Partha Pratim Ray, Dinesh Dash, Debashis De, Edge computing for Internet of Things: A survey, e-healthcare case study and future direction, Journal of Network and Computer Applications, Volume 140, 15, August 2019, pp. 1-22, 10.1016/j.jnca.2019.05.005.

[97] Fakhri Alam Khan, Sadaf Shaheen, Muhammad Asif, Atta Ur Rahman, Muhammad Imran, and Saeed Ur Rehman, Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework, Journal of Ambient Intelligence and Humanized Computing, Volume 10, Issue 10, pp. 3795–3808, Oct. 2019.

[98] Yamin M. Information technologies of 21st century and their impact on the society. International Journal of Information Technology, 2019, 11(4):759-766. DOI: 10.1007/s41870-019-00355-1.

[99] Marjan Gusev, Dew Computing Architecture for Cyber-Physical Systems and IoT, Proceedings of the 4th International Workshop on Dew Computing (DEWCOM 2019), pp. 1-7, Nov. 2019.

[100] Parimala Thulasiraman and Yingwei Wang, Post-cloud Computing and Its Varieties, Proceedings of the 4th International Workshop on Dew Computing (DEWCOM 2019), pp. 8-10, Nov. 2019.

[101] Yingwei Wang and Marjan Gusev, Decentralized Hardware Ownership Control: Dew Computing with Blockchain, Proceedings of the 4th International Workshop on Dew Computing (DEWCOM 2019), pp. 11-13, Nov. 2019.

[102] Ruppa Thulasiram, Srija Srivastava, Sarada Kiranmayee Tadepalli, and Parimala Thulasiraman, Dew Text Application Development, Proceedings of the 4th International Workshop on Dew Computing (DEWCOM 2019), pp. 14-25, Nov. 2019.

[103] A. Botta, L. Gallo and G. Ventre, “Cloud, Fog, and Dew Robotics: Architectures for Next Generation Applications,” 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2019, pp. 16-23, doi: 10.1109/MobileCloud.2019.00010.

[104] Amit Sadanand Savyanavar, Vijay Ram Ghorpade, Resource allocation scheme for Dew Computing paradigm using mobile grid, International Journal of Innovative Technology and Exploring Engineering, 2019, DOI:10.35940/ijitee.h6545.078919.

2020 (22)

[105] Yingwei Wang, A Blockchain System with Lightweight Full Node Based on Dew Computing, Internet of Things, Vol. 11, https://doi.org/10.1016/j.iot.2020.100184, Sept. 2020.

[106] G.A. Oparin, V.G. Bogdanova, and A.A. Pashinin, Microservice approach to the qualitative study of attractors of binary dynamic systems based on the Boolean constraint method, Proceedings of the 43rd International Convension (MIPRO 2020), pp. 2247-2252, Opatija, Croatia, Sept. 2020.

[107] M. Gusev, Impact of Dew Computing on Cyber-Physical Systems and IoT, Proceedings of the 43rd International Convension (MIPRO 2020), pp. 2253-2258, Opatija, Croatia, Sept. 2020.

[108] Zorislav Šojat and Karolj Skala, The Rainbow through the Lens of Dew, Proceedings of the 43rd International Convension (MIPRO 2020), pp. 2259-2264, Opatija, Croatia, Sept. 2020.

[109] Yingwei Wang, A Disaster-Resilient Messaging Protocol Based on Dew Computing, Proceedings of the 43rd International Convension (MIPRO 2020), pp. 2265-2269, Opatija, Croatia, Sept. 2020.

[110] Rexford Nii Ayitey Sosu, Chindanur Narendra Babu, Samuel Akwasi Frimpong, and John Essuman, The Relevance of Blockchain With Dew Computing: A Review, Proceedings of the 43rd International Convension (MIPRO 2020), pp. 2277-2283, Opatija, Croatia, Sept. 2020.

[111] Javier Pinzón Castellanos, Contributions of architecture Dew Computing to the Internet of Things, https://javierpinzonc.me/contributions-of-architecture-dew-computing-to-the-internet-of-things/

[112] Suwansrikham, P., Kun, S., Hayat, S., Jackson, J. Dew Computing and Asymmetric Security Framework for Big Data File Sharing. Information 2020, 11, 303. https://doi.org/10.3390/info1106030.

[113] Pashinin, Anton A. and Vera G. Bogdanova. “Application of user dew agent in hybrid-computing environments.” Proceedings of the 1st International Workshop on Advanced Information and Computation Technologies and Systems (AICTS 2020), Irkutsk, Russia, December 7-11, 2020.

[114] G. Stanco, A. Botta and G. Ventre, “DewROS: A Platform for Informed Dew Robotics in ROS,” 2020 8th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2020, pp. 9-16, doi: 10.1109/MobileCloud48802.2020.00010.

[115] Fakhri Alam Khan, Attaur Rahman, Mafawez Alharbi & Yousef Kamel Qawqzeh, Awareness and willingness to use PHR: a roadmap towards cloud-dew architecture based PHR framework. Multimed Tools Appl 79, 8399–8413 (2020). https://doi.org/10.1007/s11042-018-6692-z.

[116] Theo Lynn, John G. Mooney, Brian Lee, Patricia Takako Endo, The Cloud-to-Thing Continuum : Opportunities and Challenges in Cloud, Fog and Edge Computing, Springer Nature, 2020, https://library.oapen.org/handle/20.500.12657/39982.

[117] Getenet Tefera, Kun She, Min Chen, Awais Ahmed, “Congestion-aware adaptive decentralised computation offloading and caching for multi-access edge computing networks.” IET Commun. 14 (2020): 3410-3419.

[118] Asmita Roy, Sadip Midya, Koushik Majumder, and Santanu Phadikar. 2020. Distributed resource management in dew based edge to cloud computing ecosystem: A hybrid adaptive evolutionary approach. Trans. Emerg. Telecommun. Technol. 31, 8 (August 2020). DOI:https://doi.org/10.1002/ett.4018.

[119] K. Bala and P. D. Kaur, “Impact of Post Cloud Computing Paradigms on IoT,” 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO), 2020, pp. 579-584, doi: 10.1109/ICRITO48877.2020.9197963.

[120] C. T. B. Garrocho, C. F. M. da Cunha Cavalcanti and R. A. R. Oliveira, “Performance Evaluation of Industrial Internet of Things Services in Devices of Cloud-Fog-Dew-Things Computing,” 2020 X Brazilian Symposium on Computing Systems Engineering (SBESC), 2020, pp. 1-8, doi: 10.1109/SBESC51047.2020.9277837.

[121] D. V. Gadasin, A. V. Shvedov and A. V. Koltsova, “Cluster Model for Edge Computing,” 2020 International Conference on Engineering Management of Communication and Technology (EMCTECH), 2020, pp. 1-4, doi: 10.1109/EMCTECH49634.2020.9261538.

[122] Garrocho, C.T.B., Oliveira, R.A.R. Counting time in drops: views on the role and importance of smartwatches in dew computing. Wireless Netw 26, 3139–3157 (2020). https://doi.org/10.1007/s11276-019-02046-y.

[123] Utomo Prayudi and Falahah Suprapto, “Dew Computing: Concept and Its Implementation Strategy,” 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020, pp. 1-6, doi: 10.1109/ICIC50835.2020.9288581.

[124] Hirsch, M., Mateos, C., Rodriguez, J., & Zunino, A., DewSim: A trace‐driven toolkit for simulating mobile device clusters in Dew computing environments. Software: Practice and Experience, 2020, 50, 688 – 718.

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Non-Paper Resources

[Wikipedia] Dew computing

[Media] UPEI hosts the first international workshop on dew computing, Education News Canada, July 12, 2016.

[Media] Dew Helps Ground Cloud Computing, ACM TechNews, Sept. 15, 2015

[Website] Yingwei Wang, Cloud-dew Architecture Experimental Site  (launched in Jun. 2013)

[Blog] Javier Pinzon, Contributions of architecture Dew Computing to the Internet of Things, Oct. 2020,

[Blog] Kemal Kaplan, What Cloud Technology?. Dec. 2020, theBClog.

[LinkedIn] Sundar Rajan Ganesan, Dew Computing, Mar. 2021, LinkedIn.

[Wiktionary] Wiktionary Contributors, dew computing, Wiktionary, 2021-2022.

[Encyclopedia] Andras Markus, Mate Biro, Karolj Skala, Zorislav Šojat, and Attila Kertesz, Fog Computing, Sept 2022, Encyclopedia.