Literatura académica sobre el tema "Mobile fog computing"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Mobile fog computing".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Mobile fog computing"
Soo, Sander, Chii Chang, Seng W. Loke y Satish Narayana Srirama. "Proactive Mobile Fog Computing using Work Stealing". International Journal of Mobile Computing and Multimedia Communications 8, n.º 4 (octubre de 2017): 1–19. http://dx.doi.org/10.4018/ijmcmc.2017100101.
Texto completoArtem, Volkov, Kovalenko Vadim, Ibrahim A. Elgendy, Ammar Muthanna y Andrey Koucheryavy. "DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework". Future Internet 14, n.º 1 (27 de diciembre de 2021): 13. http://dx.doi.org/10.3390/fi14010013.
Texto completoDaraseliya, Anastasia V. y Eduard S. Sopin. "Optimization of mobile device energy consumption in a fog-based mobile computing offloading mechanism". Discrete and Continuous Models and Applied Computational Science 29, n.º 1 (15 de diciembre de 2021): 53–62. http://dx.doi.org/10.22363/2658-4670-2021-29-1-53-62.
Texto completoXu, Qiaozhi, Junxing Zhang y Bulganmaa Togookhuu. "Support Mobile Fog Computing Test in piFogBedII". Sensors 20, n.º 7 (29 de marzo de 2020): 1900. http://dx.doi.org/10.3390/s20071900.
Texto completoParlakkılıç, Alaattin. "Responsive Mobile Learning (M-Learning) Application Design And Architecture In Fog Computing". International Journal of Modern Education Studies 3, n.º 2 (19 de diciembre de 2019): 82. http://dx.doi.org/10.51383/ijonmes.2019.40.
Texto completoFrancis, T. "A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 6 (1 de diciembre de 2018): 4646. http://dx.doi.org/10.11591/ijece.v8i6.pp4646-4653.
Texto completoLin, Fuhong, Lei Yang, Ke Xiong y Xiaowen Gong. "Recent Advances in Cloud-Aware Mobile Fog Computing". Wireless Communications and Mobile Computing 2019 (23 de enero de 2019): 1–2. http://dx.doi.org/10.1155/2019/8204394.
Texto completoAhmed, Ejaz, Periklis Chatzimisios, Brij B. Gupta, Yaser Jararweh y Houbing Song. "Recent advances in fog and mobile edge computing". Transactions on Emerging Telecommunications Technologies 29, n.º 4 (abril de 2018): e3307. http://dx.doi.org/10.1002/ett.3307.
Texto completoShuminoski, Tomislav, Stojan Kitanov y Toni Janevski. "Advanced QoS Provisioning and Mobile Fog Computing for 5G". Wireless Communications and Mobile Computing 2018 (7 de junio de 2018): 1–13. http://dx.doi.org/10.1155/2018/5109394.
Texto completoLiu, Zhou-zhou y Shi-ning Li. "Sensor-cloud data acquisition based on fog computation and adaptive block compressed sensing". International Journal of Distributed Sensor Networks 14, n.º 9 (septiembre de 2018): 155014771880225. http://dx.doi.org/10.1177/1550147718802259.
Texto completoTesis sobre el tema "Mobile fog computing"
Mebrek, Adila. "Fog Computing pour l’Internet des objets". Thesis, Troyes, 2020. http://www.theses.fr/2020TROY0028.
Texto completoFog computing is a promising approach in the context of the Internet of Things (IoT) as it provides functionality and resources at the edge of the network, closer to end users. This thesis studies the performance of fog computing in the context of latency sensitive IoT applications. The first issue addressed is the mathematical modeling of an IoT-fogcloud system, and the performance metrics of the system in terms of energy consumed and latency. This modeling will then allow us to propose various effective strategies for content distribution and resource allocation in the fog and the cloud. The second issue addressed in this thesis concerns the distribution of content and object data in fog / cloud systems. In order to simultaneously optimize offloading and system resource allocation decisions, we distinguish between two types of IoT applications: (1) IoT applications with static content or with infrequent updates; and (2) IoT applications with dynamic content. For each type of application, we study the problem of offloading IoT requests in the fog. We focus on load balancing issues to minimize latency and the total power consumed by the system
Peraccini, Simone. "Named Data Networking for Computing in the Mobile Edge". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17059/.
Texto completoSegura, Danilo Costa Marim. "Integrando grades móveis em uma arquitetura orientada a serviços". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13122016-095843/.
Texto completoThe increasing number of mobile devices, such as smartphones, tablets and laptops, as well as advances in their computing power have enabled us to consider them as resources, exploring the proximity. The use of near computing resources is growing year by year, being called as Fog computing, where the elements on the edge of the Internet are exploited, once the computer services providers could be unavailable or overloaded. Thus, this Masters project focuses on using mobile devices to provide computing services among them through a heuristic called Adapted Maximum Regret, which tries to minimize energy consumption and avoid untrustable devices. There is also top-level metaheuristic which interconnects different clusters of devices on the edge of the Internet with global information to guarantee Quality of Services (QoS). We conducted a set of experiments that showed us to avoid devices with a high degree of failures to save more energy when allocating tasks among them, as well as decreasing the applications response time and communication through adjusts in the selection algorithm of external agglomerates.
Abdul, Rehman Bin Omer. "Mobile Edge Computing Clustering Algorithms for Pedestrian Mobility Scenarios". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Buscar texto completoGuardo, Ermanno Lorenzo. "Edge Computing: challenges, solutions and architectures arising from the integration of Cloud Computing with Internet of Things". Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/3908.
Texto completoSingh, Navjot. "Planning of Mobile Edge Computing Resources in 5G Based on Uplink Energy Efficiency". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38444.
Texto completoSolimando, Michele. "Infrastrutture basate su Edge Computing per Supporto a Servizi Mobili in Ambienti Ostili". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11331/.
Texto completoBadokhon, Alaa. "An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework". Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915.
Texto completoCONCONE, Federico. "EFFICIENT AND SECURE ALGORITHMS FOR MOBILE CROWDSENSING THROUGH PERSONAL SMART DEVICES". Doctoral thesis, Università degli Studi di Palermo, 2021. http://hdl.handle.net/10447/481969.
Texto completoHouacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing". Thesis, Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110/document.
Texto completoThe growth of connected devices, mostly due to the large number of internet of things IoT deployments and the emergence of mobile cloud services, introduces new challenges for the design of service architectures in mobile cloud computing MCC. An MCC framework should provide elasticity and scalability in a distributed and dynamic way while dealing with limited environment resources and variable mobile contexts web applications, real-time, enterprise services, mobile to mobile, hostile environment, etc. that may include additional constraints impacting the design foundation of cloud services. We show in this thesis how service-oriented architecture SOA can be a key solution to provide distributed mobile cloud services and how OSGi platform can be an adaptive and efficient framework to provide such implementation. We adapt the proposed MCC framework to different architecture contexts. The first one is a traditional centric model, where mobile devices are reduced to consuming services. The second one is a distributed model where the power of mobile-to-mobile interaction offers unlimited value-services opportunities, and finally, three-tier architecture is considered with the introduction of the cloudlet notion. For each context, we explore the performance of our service-oriented framework, and contrast it with alternative existing solutions
Libros sobre el tema "Mobile fog computing"
Context-aware mobile computing: Affordances of space, social awareness, and social influence. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.
Buscar texto completoBurton, Jane y Nancy Proctor. Mobile apps for museums: The AAM guide to planning and strategy. Washington, DC: AAM Press, 2011.
Buscar texto completoTürkiye'de SMS haberciliği. Cağaloğlu, İstanbul: Anahtar Kitaplar, 2010.
Buscar texto completoMulvenna, Maurice D. y C. D. Nugent. Supporting people with dementia using pervasive health technologies. London: Springer, 2010.
Buscar texto completoMavromoustakis, Constandinos X., George Mastorakis, Evangelos Pallis y Evangelos Markakis. Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications. Institution of Engineering & Technology, 2017.
Buscar texto completoMarkakis, Evangelos Markakis, George Mastorakis Mastorakis, Constandinos X. Mavromoustakis Mavromoustakis y Evangelos Pallis Pallis, eds. Cloud and Fog Computing in 5G Mobile Networks: Emerging advances and applications. Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/pbte070e.
Texto completoMavromoustakis, Constandinos X., George Mastorakis, Evangelos Pallis y Evangelos Markakis. Cloud and Fog Computing in 5G Mobile Networks: Emerging Advances and Applications. Institution of Engineering & Technology, 2017.
Buscar texto completoS, Kevin Andrews y Josephine M. S. Mobile Computing. Jupiter Publications Consortium, 2021. http://dx.doi.org/10.47715/jpc.b.59.2021.9788194706922.
Texto completoS, Kevin Andrews y Josephine M. S. Mobile Computing. Jupiter Publications Consortium, 2021. http://dx.doi.org/10.47715/jpc.b.59.2021.9788194706922.
Texto completoUMTS and Mobile Computing. Artech House Publishers, 2002.
Buscar texto completoCapítulos de libros sobre el tema "Mobile fog computing"
Chen, Nanxi. "Microservices Deployment in Edge/Fog Computing Environments". En Mobile Microservices, 51–84. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003272960-3.
Texto completoAwaisi, Kamran Sattar, Assad Abbas, Samee U. Khan, Redowan Mahmud y Rajkumar Buyya. "Simulating Fog Computing Applications Using iFogSim Toolkit". En Mobile Edge Computing, 565–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5_22.
Texto completoGao, Longxiang, Tom H. Luan, Bo Liu, Wanlei Zhou y Shui Yu. "Fog Computing and Its Applications in 5G". En 5G Mobile Communications, 571–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34208-5_21.
Texto completoGhosh, Shreya y Soumya K. Ghosh. "Mobility Driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review". En Mobile Edge Computing, 229–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5_10.
Texto completoDas, Jaydeep, Soumya K. Ghosh y Rajkumar Buyya. "Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions". En Mobile Edge Computing, 47–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5_3.
Texto completoLehman, Sarah M. y Chiu C. Tan. "Leveraging Edge Computing for Mobile Augmented Reality". En Fog/Edge Computing For Security, Privacy, and Applications, 327–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57328-7_13.
Texto completoHarnal, Shilpi, Gaurav Sharma y Ravi Dutt Mishra. "QoS-Based Load Balancing in Fog Computing". En Mobile Radio Communications and 5G Networks, 331–44. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7018-3_25.
Texto completoBattula, Sudheer Kumar, Ranesh Kumar Naha, Ujjwal KC, Khizar Hameed, Saurabh Garg y Muhammad Bilal Amin. "Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges, and Future Directions". En Mobile Edge Computing, 251–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5_11.
Texto completoBindu Madavi, K. P. y P. Vijayakarthick. "Decoy Technique for Preserving the Privacy in Fog Computing". En Evolutionary Computing and Mobile Sustainable Networks, 89–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5258-8_10.
Texto completoShih, Yuan-Yao, Hung-Yu Wei y Ai-Chun Pang. "Fog Computing for Intelligent Mobile and IoT Networks". En Encyclopedia of Wireless Networks, 489–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_75.
Texto completoActas de conferencias sobre el tema "Mobile fog computing"
Shi, Heng, Nan Chen y Ralph Deters. "Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing". En 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS). IEEE, 2015. http://dx.doi.org/10.1109/dsdis.2015.115.
Texto completoPinjari, Hameed, Anand Paul, Gwanggil Jeon y Seungmin Rho. "Context-Driven Mobile Learning Using Fog Computing". En 2018 International Conference on Platform Technology and Service (PlatCon). IEEE, 2018. http://dx.doi.org/10.1109/platcon.2018.8472763.
Texto completoHassan, Mohammed A., Mengbai Xiao, Qi Wei y Songqing Chen. "Help your mobile applications with fog computing". En 2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops). IEEE, 2015. http://dx.doi.org/10.1109/seconw.2015.7328146.
Texto completoLi, Yuanjie, Nguyen Tung Anh, Azhar Saeed Nooh, Kuwon Ra y Minho Jo. "Dynamic mobile cloudlet clustering for fog computing". En 2018 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2018. http://dx.doi.org/10.23919/elinfocom.2018.8330676.
Texto completoAlonso-Monsalve, Saul, Felix Garcia-Carballeira y Alejandro Calderon. "Fog computing through public-resource computing and storage". En 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, 2017. http://dx.doi.org/10.1109/fmec.2017.7946412.
Texto completoYi, Shanhe, Cheng Li y Qun Li. "A Survey of Fog Computing". En MobiHoc'15: The Sixteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2757384.2757397.
Texto completoBrogi, Antonio, Stefano Forti, Ahmad Ibrahim y Luca Rinaldi. "Bonsai in the Fog: An active learning lab with Fog computing". En 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, 2018. http://dx.doi.org/10.1109/fmec.2018.8364048.
Texto completoTuvakov, Jemshit y KeeHyun Park. "On the Fog Node Model for Multi-purpose Fog Computing Systems". En 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2018. http://dx.doi.org/10.1109/iemcon.2018.8614845.
Texto completoSayed, Muhammad Magdy, Mona S. Kashkoush y Mohamed Azab. "Towards Resilient Adaptive Vehicular Fog Computing". En 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2020. http://dx.doi.org/10.1109/iemcon51383.2020.9284836.
Texto completoEnnya, Zainab, Moulay Youssef Hadi y Amine Abouaomar. "Computing Tasks Distribution in Fog Computing: Coalition Game Model". En 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2018. http://dx.doi.org/10.1109/wincom.2018.8629587.
Texto completoInformes sobre el tema "Mobile fog computing"
Satyanarayanan, M., Brian Noble, Puneet Kumar y Morgan Price. Application-Aware Adaptation for Mobile Computing. Fort Belvoir, VA: Defense Technical Information Center, julio de 1994. http://dx.doi.org/10.21236/ada288366.
Texto completoPasquale, Joseph. System Software Support for Mobile-Agent Computing. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2002. http://dx.doi.org/10.21236/ada409193.
Texto completoRoy, Sumit. Telecommunication Networks for Mobile & Distributed Communications/Computing. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2001. http://dx.doi.org/10.21236/ada418978.
Texto completoGupta, Rajiv, Santosh Pande y Soner Onder. Power-Adaptive Microarchitecture and Compiler Design for Mobile Computing. Fort Belvoir, VA: Defense Technical Information Center, enero de 2003. http://dx.doi.org/10.21236/ada416016.
Texto completoHorak, Karl Emanuel, Sharon Marie DeLand y Dianna Sue Blair. The feasibility of mobile computing for on-site inspection. Office of Scientific and Technical Information (OSTI), septiembre de 2014. http://dx.doi.org/10.2172/1162192.
Texto completoChen, Guanling y David Kotz. Solar: A Pervasive-Computing Infrastructure for Context-Aware Mobile Applications. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2002. http://dx.doi.org/10.21236/ada440303.
Texto completoFletcher, James H., Philip Cox, William J. Harrington y Joseph L. Campbell. Recovery Act: Advanced Direct Methanol Fuel Cell for Mobile Computing. Office of Scientific and Technical Information (OSTI), septiembre de 2013. http://dx.doi.org/10.2172/1091798.
Texto completoNoble, Brian D., Morgan Price y M. Satyanarayanan. A Programming Interface for Application-Aware Adaptation in Mobile Computing. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1995. http://dx.doi.org/10.21236/ada293107.
Texto completoBrian Wells. Direct Methanol Fuel Cell Power Supply For All-Day True Wireless Mobile Computing. Office of Scientific and Technical Information (OSTI), noviembre de 2008. http://dx.doi.org/10.2172/970458.
Texto completoKwiat, Paul, Eric Chitambar, Andrew Conrad y Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, septiembre de 2022. http://dx.doi.org/10.36501/0197-9191/22-020.
Texto completo