Academic literature on the topic 'IoT Cloud'
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Journal articles on the topic "IoT Cloud"
Han, Jungsu, Sun Park, and JongWon Kim. "Dynamic OverCloud: Realizing Microservices-Based IoT-Cloud Service Composition over Multiple Clouds." Electronics 9, no. 6 (June 11, 2020): 969. http://dx.doi.org/10.3390/electronics9060969.
Full textMohammed Sadeeq, Mohammed, Nasiba M. Abdulkareem, Subhi R. M. Zeebaree, Dindar Mikaeel Ahmed, Ahmed Saifullah Sami, and Rizgar R. Zebari. "IoT and Cloud Computing Issues, Challenges and Opportunities: A Review." Qubahan Academic Journal 1, no. 2 (March 15, 2021): 1–7. http://dx.doi.org/10.48161/qaj.v1n2a36.
Full textYangui, Sami. "A Panorama of Cloud Platforms for IoT Applications Across Industries." Sensors 20, no. 9 (May 9, 2020): 2701. http://dx.doi.org/10.3390/s20092701.
Full textHamann, Ulrich, and Matthias Reinwarth. "Cloud und IoT." Digitale Welt 2, no. 2 (March 7, 2018): 52–54. http://dx.doi.org/10.1007/s42354-018-0077-3.
Full textChen, Fei, Duming Luo, Tao Xiang, Ping Chen, Junfeng Fan, and Hong-Linh Truong. "IoT Cloud Security Review." ACM Computing Surveys 54, no. 4 (May 2021): 1–36. http://dx.doi.org/10.1145/3447625.
Full textRashid Abdulqadir, Hindreen, Subhi R. M. Zeebaree, Hanan M. Shukur, Mohammed Mohammed Sadeeq, Baraa Wasfi Salim, Azar Abid Salih, and Shakir Fattah Kak. "A Study of Moving from Cloud Computing to Fog Computing." Qubahan Academic Journal 1, no. 2 (April 27, 2021): 60–70. http://dx.doi.org/10.48161/qaj.v1n2a49.
Full textAhmad, Aftab, Ravi Mukkamala, and Karthik Navuluri. "Privacy in IoT Cloud." Athens Journal of Τechnology & Engineering 5, no. 4 (November 27, 2018): 377–92. http://dx.doi.org/10.30958/ajte.5-4-4.
Full textJeong, Yoon-Su, and Sung-Ho Sim. "Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information." Sensors 21, no. 6 (March 14, 2021): 2049. http://dx.doi.org/10.3390/s21062049.
Full textHick, Lukas, Dirk Börner, and Henning Pagnia. "Cloud to Cloud Integration im IoT Umfeld." HMD Praxis der Wirtschaftsinformatik 56, no. 6 (November 1, 2019): 1204–19. http://dx.doi.org/10.1365/s40702-019-00565-y.
Full textAhuja, Sanjay P., and Niharika Deval. "From Cloud Computing to Fog Computing." International Journal of Fog Computing 1, no. 1 (January 2018): 1–14. http://dx.doi.org/10.4018/ijfc.2018010101.
Full textDissertations / Theses on the topic "IoT Cloud"
Axelsson, Markus, and Oskar Lundgren. "Raytelligent Cloud." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33567.
Full textTodays age sees more and more devices connected to the internet providing otherwise quite limited hardware with the ability to perform more complex calculations. This project aims to create a system for managing a users radar devices using a cloud platform. The system also provides the ability for the user to upload their own custom applications which can make use of data provided by the radar device, run on virtual machines and if required have the ability to push notifications to the users mobile applications. To simplify the system development, it has been divided into three separate subsystems, specifically the radar device, the cloud service and the mobile application. The result of the project is a complete system with a web application which provides the user with the ability to register their radar device(s), upload source code which is compiled and run on the cloud platform and the ability to send push notices to a mobile application.
Nompleggio, Pietro Antonio. "Computazione Embodied e Disembodied: Cloud-based IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11180/.
Full textCoutinho, Daniel Filipe Raimundo. "Cloud-based system for IoT data acquisition." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/28975.
Full textBakthavathsalu, Lalith Kumar. "Cloud native design of IoT baseband functions : Introduction to cloud native principles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289171.
Full textDen exponentiella tillväxten av forskning och distribution av 5G-nät har lett till ett ökat intresse för massive Machine Type Communicationsn (mMTC) eftersom vi är på jakt att ansluta alla enheter. Detta kan tillskrivas den ständiga utvecklingen av långdistans- och lågdrivna Internet-of-Things-teknologier (IoT) -teknologier, eller, Low Power Wide Area Network (LPWAN) tekniker som Long-Range (LoRa) och Narrow Band- IoT (NB-IoT). Dessa teknologier blir framträdande inom IoT-domänen eftersom antalet LPWAN-anslutna enheter har fördubblats från 2018 till 2019. Denna ökning av enheterna motiverar ett proportionellt antal portar för att driva data till Internet för ytterligare analys. De traditionella LPWAN-arkitekturerna ger inte dynamisk skalning av resurser eller energieffektiva lösningar. Således är en moln-infödd delad arkitektur baserad på funktionernas egenskaper hos komponenterna en nödvändighet. I detta arbete designas och implementeras en programvarubaserad implementering av LoRa-stacken på GNU Radio med hjälp av Software- Defined Radio (SDR). LoRa-gatewayen implementeras i mjukvara fullständigt, vilket replikerar maskinvarans funktioner för att kommunicera med någon LoRaNetwork Server. Flera experiment med olika inställningar har utförts på testbädden för att mäta resursutnyttjandet och paketfördröjningen för LoRa Physical (PHY) och Medium Access Control (MAC) -skikten. Testbädden har också flyttats in i Docker-behållare för att emulera en molnbaserad plattform och göra övergången snabbare. Högre genomströmning och lägre fördröjning (Förbättring inom intervallet 1,3x - 6,7x) registrerades vid uppdelning av testbädden i Radio Head (RH) och Edge containrar. Slutligen har tre potentiella funktionella splitarkitekturer inklusive gateway diskuterats samtidigt som det ger en rättvis avvägning mellan pooling av vinst och förbrukad bandbredd.
Rinaldini, Fabrizio. "Comunicazione tra dispositivi IoT e Cloud tramite protocollo MQTT." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13199/.
Full textYevsieiev, V., and A. Bolshakov. "Use of microcontrollers with cloud services for production needs." Thesis, Кременчуцький національний університет імені Михайла Остроградського, 2022. https://openarchive.nure.ua/handle/document/20420.
Full textSgarbi, Andrea. "Machine Cloud Connectivity: a robust communication architecture for Industrial IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textHellbe, Anton, and Gustaf Bohlin. "Evaluating IoT cloud platforms in the context of smart buildings." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20027.
Full textSmart buildings is a common application for both Internet of Things (IoT) devices andcloud services. Recently cloud service providers such as Amazon, Google and Microsofthave started to offer IoT cloud platforms which consist of a class of services that providea base for cloud applications utilized by IoT devices. However, there are many differentproviders of IoT cloud platforms and selecting one for an IoT solution for a smart buildingis difficult. In this thesis two IoT cloud platforms are evaluated in the context of smartbuildings as part of an assignment given by Sigma Lundinova. To evaluate the IoT cloudplatforms a common smart building scenario is realized by implementing a prototype usingtwo different IoT cloud platforms. The development process makes it possible to evaluatehow well the platforms support the development of the system that the scenario describes.The evaluation is based on information and experience from the process of developing thesystem using the IoT cloud platforms. The evaluation can be used as a guidance whenselecting IoT cloud platform for an IoT solution intended for a smart building.
Laukka, Lucas, and Carl Fransson. "Cloud risk analysis using OCTAVE Allegro : Identifying and analysing risks of a cloud service." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176731.
Full textSääf, Alexander. "Cloud Services for Building the Modern Internet of Things : An Examination of IoT Cloud Service Providers." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162090.
Full textBooks on the topic "IoT Cloud"
Al-Turjman, Fadi, ed. Trends in Cloud-based IoT. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40037-8.
Full textVerma, Jitendra Kumar, Deepak Saxena, and Vicente González-Prida, eds. IoT and Cloud Computing for Societal Good. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-73885-3.
Full textKrishnan, Saravanan, J. Bruce Ralphin Rose, N. R. Rajalakshmi, and Narayanan Prasanth. Cloud IoT Systems for Smart Agricultural Engineering. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185413.
Full textLongo, Antonella, Marco Zappatore, Massimo Villari, Omer Rana, Dario Bruneo, Rajiv Ranjan, Maria Fazio, and Philippe Massonet, eds. Cloud Infrastructures, Services, and IoT Systems for Smart Cities. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67636-4.
Full textKim, Haengkon, and Roger Lee, eds. Software Engineering in IoT, Big Data, Cloud and Mobile Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64773-5.
Full textZhang, Yushu, Yong Xiang, and Leo Yu Zhang. Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2523-6.
Full textDash, Sujata, Subhendu Kumar Pani, Ajith Abraham, and Yulan Liang, eds. Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75657-4.
Full textWorkshop on Ion-Aerosol-Cloud Interactions (2001 Geneva, Switzerland). Workshop on Ion-Aerosol-Cloud Interactions: CERN, Geneva, Switzerland, 18-20 April 2001 : proceedings. Edited by Kirkby J and European Organization for Nuclear Research. Geneva, Switzerland: CERN, 2001.
Find full textOoley, Nathan. Beginning iOS Cloud and database development. [Berkeley, Calif.]: Apress, 2014.
Find full textOoley, Nathan, Nick Tichawa, and Brian Miller. Beginning iOS Cloud and Database Development. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-4114-0.
Full textBook chapters on the topic "IoT Cloud"
Kapoor, Sakshi, and Surya Narayan Panda. "Integrating Cloud with IoT-Cloud IoT." In Real-Life Applications of the Internet of Things, 273–93. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003277460-15.
Full textKurniawan, Agus. "Arduino IoT Cloud." In Beginning Arduino Nano 33 IoT, 131–55. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6446-1_5.
Full textVuppalapati, Chandrasekar. "Cloud and IoT." In Building Enterprise IoT Applications, 393–99. First edition. | Boca Raton : CRC Press/Taylor & Francis Group, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429056437-11.
Full textFirouzi, Farshad, and Bahar Farahani. "Architecting IoT Cloud." In Intelligent Internet of Things, 173–241. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30367-9_4.
Full textUpadrista, Venkatesh. "IoT Cloud Platform." In IoT Standards with Blockchain, 121–41. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7271-8_7.
Full textMahalle, Parikshit N., Ambritta P. Nancy, Gitanjali Rahul Shinde, and Arvind Vinayak Deshpande. "IoT–Cloud Convergence." In The Convergence of Internet of Things and Cloud for Smart Computing, 41–84. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003189091-3.
Full textTyagi, Himani, and Rajendra Kumar. "Cloud Computing for IoT." In Internet of Things (IoT), 25–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37468-6_2.
Full textJayashree, L. S., and G. Selvakumar. "Cloud Solutions for IoT." In Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models, 31–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30945-9_2.
Full textChoudharyor, Nilam, and Vivek Arya. "Salesforce IoT Cloud Platform." In Algorithms for Intelligent Systems, 301–9. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6307-6_31.
Full textBell, Charles. "Introducing IoT for the Cloud." In Beginning IoT Projects, 729–76. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7234-3_17.
Full textConference papers on the topic "IoT Cloud"
Alipour, Navid, Mea Wang, and Diwakar Krishnamurthy. "Oasis: Performance Matching IoT System Emulation." In 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021. http://dx.doi.org/10.1109/cloud53861.2021.00051.
Full textFei Li, Michael Voegler, Markus Claessens, and Schahram Dustdar. "Efficient and Scalable IoT Service Delivery on Cloud." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.64.
Full textCelesti, Antonio, Maria Fazio, Maurizio Giacobbe, Antonio Puliafito, and Massimo Villari. "Characterizing Cloud Federation in IoT." In 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2016. http://dx.doi.org/10.1109/waina.2016.152.
Full textKetel, Mohammed. "Fog-Cloud Services for IoT." In ACM SE '17: SouthEast Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077286.3077314.
Full textSeung Woo Kum, JaeWon Moon, Taeboem Lim, and Jong Il Park. "A novel design of IoT cloud delegate framework to harmonize cloud-scale IoT services." In 2015 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2015. http://dx.doi.org/10.1109/icce.2015.7066399.
Full textQarawlus, Haydar, Malte Hellmeier, Johannes Pieperbeck, Ronja Quensel, Steffen Biehs, and Marc Peschke. "Sovereign Data Exchange in Cloud-Connected IoT using International Data Spaces." In 2021 IEEE Cloud Summit (Cloud Summit). IEEE, 2021. http://dx.doi.org/10.1109/ieeecloudsummit52029.2021.00010.
Full textParashar, Manish, Moustafa Abdelbaky, Mengsong Zou, Ali Reza Zamani, and Javier Diaz-Montes. "Realizing the Potential of IoT Using Software-Defined Ecosystems." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.169.
Full textTran, Hieu, Son Nguyen, I.-Ling Yen, and Farokh Bastani. "Into Summarization Techniques for IoT Data Discovery Routing." In 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021. http://dx.doi.org/10.1109/cloud53861.2021.00023.
Full textTei, Kenji, and Levent Gurgen. "ClouT : Cloud of things for empowering the citizen clout in smart cities." In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803191.
Full textBastos, D. "Cloud for IoT - a Survey of Technologies and Security features of Public Cloud IoT solutions." In Living in the Internet of Things (IoT 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0168.
Full textReports on the topic "IoT Cloud"
Azevedo, T., A. Friedman, R. Cohen, and J. Vay. Electron-Cloud Effects on Heavy-Ion Beams. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/15009823.
Full textShyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2449.
Full textSymonenko, Svitlana V., Viacheslav V. Osadchyi, Svitlana O. Sysoieva, Kateryna P. Osadcha, and Albert A. Azaryan. Cloud technologies for enhancing communication of IT-professionals. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3861.
Full textAziz U. I. Electron Clouds in the Relativistic Heavy Ion Collider. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/1061819.
Full textIriso U. and S. Peggs. Maps for Coupled Electron and Ion Clouds in Accelerators. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/1061802.
Full textIatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, and Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3248.
Full textPopel, Maiia V., and Mariya P. Shyshkina. The areas of educational studies of the cloud-based learning systems. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3245.
Full textVakaliuk, Tetiana A., Olha V. Korotun, and Serhiy O. Semerikov. The selection of cloud services for ER-diagrams construction in IT specialists databases teaching. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4371.
Full textVolikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo, and Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3269.
Full textKorotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.
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