Готові списки джерел за темами / Mobile computing

Добірка наукової літератури з теми "Mobile computing"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 29 липня 2024

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Статті в журналах з теми "Mobile computing"

1

Courtney, M. "Upwardly mobile [mobile computing]." Engineering & Technology 8, no. 7 (August 1, 2013): 56. http://dx.doi.org/10.1049/et.2013.0723.

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2

Satyanarayanan, Mahadev. "Mobile computing." ACM SIGMOBILE Mobile Computing and Communications Review 15, no. 2 (August 2011): 2–10. http://dx.doi.org/10.1145/2016598.2016600.

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3

Cuddy, Colleen. "Mobile Computing." Journal of Electronic Resources in Medical Libraries 6, no. 1 (February 19, 2009): 64–68. http://dx.doi.org/10.1080/15424060802705301.

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4

Satyanarayanan, M. "Mobile computing." ACM SIGMOBILE Mobile Computing and Communications Review 1, no. 1 (April 1997): 17–21. http://dx.doi.org/10.1145/583973.583980.

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5

Satyanarayanan, M. "Mobile computing." Computer 26, no. 9 (September 1993): 81–82. http://dx.doi.org/10.1109/2.231283.

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6

Ellermann, Todd R. "Mobile Computing." Journal of Business Strategy 23, no. 3 (March 2002): 11–12. http://dx.doi.org/10.1108/eb040243.

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7

Rothermel, Kurt. "Mobile Computing." Informatik - Forschung und Entwicklung 16, no. 4 (November 2001): 177–78. http://dx.doi.org/10.1007/s004500100098.

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8

R. Nuiaa, Riyadh. "Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsour." Journal of Education College Wasit University 1, no. 22 (January 18, 2018): 759–72. http://dx.doi.org/10.31185/eduj.vol1.iss22.234.

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Анотація:
Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsource services to cloud while providing interface for mobile users. Emerging mobile applications that are expensive can overcome the inherent problems of hand held devices through the concept of mobile cloud computing. The offloading process provide mobiles a rich platform for pervasive computing with on-demand services linked to cloud computing through mobile cloud infrastructure. Thus the mobile cloud computing is an inevitable phenomenon which bring about plethora of pros besides the mobility. The mobile cloud users can perform their resource intensive operations on the fly without time and geographical restrictions. In spite of the advantages it bestows mobile cloud computing has its own security issues. This paper throws light into the security issues and solutions in terms of secure channels transmission in mobile cloud computing. In this paper, we present state-of-the-art of mobile cloud computing besides its security aspects that are to be taken care of for successful mobile cloud computing.
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9

Sumit, Sumit, Ms Kirti Bhatia, and Ms Shalini Bhadola. "Cloud Computing using Mobile Phone." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 995–1000. http://dx.doi.org/10.31142/ijtsrd23145.

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10

R, Jain. "Survey on Mobile Cloud Computing." Advances in Robotic Technology 2, no. 1 (January 19, 2024): 1–7. http://dx.doi.org/10.23880/art-16000111.

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The paper explores how cloud computing offers the capacity to improve computing features and application services while addressing its transformative impact on mobile device systems. It recognizes, yet, the security risks associated with transferring data and computing. Using various cloud types for secure information searches and security-critical activities, the research proposal proposes a secure exporting architecture to basic clouds. It shows the significance of cryptography, confidentiality security measures, and data security methods in solving these security issues with cloud computing and mobile cloud computing (MCC). From the perspective of the specific challenges of mobile environments, that abstract's argument indicates the need for further research to enhance mobile cloud-based applications and improve these security technologies.
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Дисертації з теми "Mobile computing"

1

Houacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing." Thesis, Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110/document.

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La croissance des appareils connectés, principalement due au grand nombre de déploiements de l'internet des objets et à l'émergence des services de cloud mobile, introduit de nouveaux défis pour la conception d'architectures de services dans le Cloud Computing Mobile (CCM) du cloud computing mobile. Nous montrons dans cette thèse comment l'architecture orientée services SOA peut être une solution clé pour fournir des services cloud mobiles distribués et comment la plate-forme OSGi peut être un cadre adaptatif et efficace pour fournir une telle implémentation. Nous adaptons le cadre CCM proposé à différents contextes d'architecture. Le premier est un modèle centré traditionnel, où les appareils mobiles sont réduits à consommer des services. Le second est un modèle distribué où la puissance de l'interaction de mobile à mobile offre des opportunités illimitées de services de valeur, et enfin, l'architecture à trois niveaux est considérée avec l'introduction de la notion de cloudlet. Pour chaque contexte, nous explorons la performance de notre cadre axé sur le service et le comparons à d'autres solutions existantes
The 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
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2

Pamplona, Rodrigo Christovam. "Data replication in mobile computing." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16448.

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With the advances of technology and the popularization of mobile devices, the need of researching and discussing subjects related to mobile devices has raised. One of the subjects that needs to be further analyzed is data replication. This study investigates data replication on mobile devices focusing on power consumption. It presents four different scenarios that propose, describe, apply and evaluate data replication mechanisms, with the purpose of finding the best scenario that presents less energy consumption. In order to make the experiments, Sun SPOT was chosen as a mobile device. This device is fully programmed in a java environment. A different software was created in each scenario in order to verify the performance of the mobile devices regarding energy saving. The results found did not meet the expectations. While trying to find the best scenario a hardware limitation was found. Although software can be easily changed to fix errors, hardware cannot be changed as easily. The implications for the hardware limitation found in this study prevented the results to be optimal. The results found also imply that new hardware should be used in further experimentation. As this study proved to be limited, it suggests that additional studies should be carried out applying the new version of the hardware used in this study.
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3

Pope, Steven Leslie. "Application support for mobile computing." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627051.

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4

Phanse, Vivek 1974. "Enabling technology for mobile computing." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9034.

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Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2000.
Includes bibliographical references (p. 75).
A strategic, technical, and organizational examination of the customer enabling effort at Intel Corporation was undertaken. The context of this study was the launch of the first boxed mobile processor in the company's history. The technical component of the work consisted of the design and development of a thermal solution to complement the boxed processor. The organizational component involved an examination of the way the team was structured to execute the project. The strategic component looked at the effect of the enabling effort on the mobile computing industry at large. Thermal solutions that met the technical specifications of the boxed mobile processor were successfully designed and prototyped. The implication of a specific thermal solution design on the level of standardization of the notebook computer platform is discussed. The conclusion is that the level of standardization in the industry is already high and is unlikely to be influenced by the boxed mobile processor. Tactics for organizational structure design are suggested for future project staffing.
by Vivek Phanse.
S.M.
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5

Jetter, Stefanie. "Ubiquitous Computing allgegenwärtige mobile Kommunikation /." [S.l. : s.n.], 2005. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11759328.

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6

PREMOLI, MARCO LUIGI. "MOBILE EDGE COMPUTING NETWORK OPTIMIZATION." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/543621.

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Smart mobile devices are becoming more and more important in every aspects of human life, and mobile application are becoming more and more resources demanding with a widening gap between the required resources and those available on mobile devices. To bridge this gap, Mobile Edge Computing paradigm has been introduced to bring IT applications, computational and storage resources to the periphery, or edges, of the cellular mobile network. Several complementary technologies have been presented to implement Mobile Edge Computing, all of them considering the deployment of virtualization facilities within mobile access and backhaul network. In this thesis we face several optimization problems related to the planning of a Mobile Edge Computing Network. In the first part of the thesis we present the Mobile Edge Computing Network Design Problem (MNDP), that considers the design of a full mobile access and backhaul network together with the location of the virtualization facilities. Two variants of the problem are considered: either assuming a static condition of the network or dynamic variations of traffic demands and the human mobility that causes these variations. Matheuristics are proposed to solve MNDP and best practices are drawn on real world data. In the second part of the thesis, we face a tactical side of the optimal Mobile Edge Computing network planning, that is the routing in time of access point traffic to specific Mobile Edge Computing facilities on a fixed network structure. We present exact Branch-and-Price algorithm to solve the problem, experimenting on real-world dataset. Finally, driven by the fact that the knowledge of mobile user mobility represents a key data for the MNDP, in the third part of the thesis we face the problem of estimating human mobility given very aggregated data, that is the network traffic demand variations in time. We propose mathematical programming formulation and column generation algorithm to solve this problem, experimenting on both real-world and synthetic datasets.
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7

Kilian-Kehr, Roger. "Mobile security with smartcards." Phd thesis, [S.l.] : [s.n.], 2002. http://elib.tu-darmstadt.de/diss/000214.

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8

Tufekcioglu, Refik. "Communication models in mobile computing systems and mobile agents." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378775.

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Анотація:
Thesis (M.S. in Computer Science) Naval Postgraduate School, March 2000.
Thesis advisor(s): Michael, James B. "March 2000." Includes bibliographical references (p. 131-137). Also available in print.
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9

Zambrano, Jesus. "Mobile Cloud Computing: Offloading Mobile Processing to the Cloud." UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/594.

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The current proliferation of mobile systems, such as smart phones, PDA and tablets, has led to their adoption as the primary computing platforms for many users. This trend suggests that designers will continue to aim towards the convergence of functionality on a single mobile device. However, this convergence penalizes the mobile system in computational resources such as processor speed, memory consumption, disk capacity, as well as in weight, size, ergonomics and the user’s most important component, battery life. Therefore, this current trend aims towards the efficient and effective use of its hardware and software components. Hence, energy consumption and response time are major concerns when executing complex algorithms on mobile devices because they require significant resources to solve intricate problems. Current cloud computing environments for performing complex and data intensive computation remotely are likely to be an excellent solution for off-loading computation and data processing from mobile devices restricted by reduced resources. In cloud computing, virtualization enables a logical abstraction of physical components in a scalable manner that can overcome the physical constraint of resources. This optimizes IT infrastructure and makes cloud computing a worthy cost effective solution. The intent of this thesis is to determine the types of applications that are better suited to be off-loaded to the cloud from mobile devices. To this end, this thesis quantitatively and qualitatively compares the performance of executing two different kinds of workloads locally on two different mobile devices and remotely on two different cloud computing providers. The results of this thesis are expected to provide valuable insight to developers and architects of mobile applications by providing information on the applications that can be performed remotely in order to save energy and get better response times while remaining transparent to users.
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10

Houacine, Fatiha. "Service-Oriented Architecture for the Mobile Cloud Computing." Electronic Thesis or Diss., Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1110.

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Анотація:
La croissance des appareils connectés, principalement due au grand nombre de déploiements de l'internet des objets et à l'émergence des services de cloud mobile, introduit de nouveaux défis pour la conception d'architectures de services dans le Cloud Computing Mobile (CCM) du cloud computing mobile. Nous montrons dans cette thèse comment l'architecture orientée services SOA peut être une solution clé pour fournir des services cloud mobiles distribués et comment la plate-forme OSGi peut être un cadre adaptatif et efficace pour fournir une telle implémentation. Nous adaptons le cadre CCM proposé à différents contextes d'architecture. Le premier est un modèle centré traditionnel, où les appareils mobiles sont réduits à consommer des services. Le second est un modèle distribué où la puissance de l'interaction de mobile à mobile offre des opportunités illimitées de services de valeur, et enfin, l'architecture à trois niveaux est considérée avec l'introduction de la notion de cloudlet. Pour chaque contexte, nous explorons la performance de notre cadre axé sur le service et le comparons à d'autres solutions existantes
The 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
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Книги з теми "Mobile computing"

1

Fuchß, Thomas. Mobile Computing. München: Carl Hanser Verlag GmbH & Co. KG, 2009. http://dx.doi.org/10.3139/9783446405134.

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2

Imielinski, Tomasz, and Henry F. Korth, eds. Mobile Computing. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/b102605.

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3

Knoll, Matthias, and Stefan Meinhardt, eds. Mobile Computing. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12029-0.

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4

Arinir, Doga. Mobile Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67413-0.

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5

Tomasz, Imieliński, and Korth Henry F, eds. Mobile computing. Boston: Kluwer Academic Publishers, 1996.

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6

Qiu, Meikang, and Keke Gai. Mobile Cloud Computing. Boca Raton : CRC Press, 2017.: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315156088.

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7

Zhang, Yan. Mobile Edge Computing. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83944-4.

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8

Mukherjee, Anwesha, Debashis De, Soumya K. Ghosh, and Rajkumar Buyya, eds. Mobile Edge Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69893-5.

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9

Deng, Shuiguang, Hongyue Wu, and Jianwei Yin. Mobile Service Computing. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5921-1.

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10

Naser Y. A. A. AlDuaij. Multi-Mobile Computing. [New York, N.Y.?]: [publisher not identified], 2020.

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Частини книг з теми "Mobile computing"

1

Bukhres, Omran, Evaggelia Pitoura, and Arkady Zaslavsky. "Mobile Computing." In Handbook on Data Management in Information Systems, 431–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24742-5_10.

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2

Mutschler, Bela, and Günther Specht. "Mobile Computing." In Xpert.press, 17–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18731-5_2.

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3

Chesher, Michael, and Rukesh Kaura. "Mobile Computing." In Practitioner Series, 237–50. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3018-5_16.

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4

Schill, Alexander, and Thomas Springer. "Mobile Computing." In Verteilte Systeme, 289–367. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25796-4_10.

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5

Grotegut, Martin. "Mobile Computing." In Windows 7, 495–501. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01035-4_14.

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Kjeldskov, Jesper. "Mobile Computing." In Mobile Interactions in Context, 5–18. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-02204-3_2.

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Svendsen, Berit. "Mobile Computing." In True Visions, 169–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-28974-6_9.

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8

Schrauzer, Simon. "Mobile Contracting – Evolvierende Unterstützung mobiler Vertragsschlüsse." In Mobile Computing, 143–57. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12029-0_10.

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9

auf der Heide, Friedhelm Meyer, Mohan Kumar, Sotiris Nikoletseas, and Paul Spirakis. "Mobile Computing, Mobile Networks." In Euro-Par 2002 Parallel Processing, 933–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45706-2_133.

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10

Breitschwerdt, Rüdiger, Philipp Reinke, Markus Kleine Sextro, and Oliver Thomas. "Mobile Anwendungen für eine mobile Gesundheitsversorgung." In Mobile Computing, 113–26. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12029-0_8.

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Тези доповідей конференцій з теми "Mobile computing"

1

Radouane, Baghiani, Guezouli Lyamine, Korichi Ahmed, and Barka Kamel. "Scalable Mobile Computing: From Cloud Computing to Mobile Edge Computing." In 2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS). IEEE, 2022. http://dx.doi.org/10.1109/niss55057.2022.10085600.

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2

Klavestad, Sindre, Tor-Morten Gronli, Tacha Serif, and Gheorghita Ghinea. "Mobile computing." In MEDES '18: The 10th International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3281375.3281408.

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3

Cappelletti, Laura. "Mobile computing." In the 15th annual international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/263367.263372.

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4

Francis, Larry. "Mobile computing." In the 15th annual international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/263367.263378.

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5

Satyanarayanan, Mahadev. "Mobile computing." In the 1st ACM Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1810931.1810936.

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"Mobile Computing." In 2018 5th International Conference on Networking, Systems and Security (NSysS). IEEE, 2018. http://dx.doi.org/10.1109/nsyss.2018.8631390.

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Kunz, Thomas. "Session details: Mobile computing II (Mobile Computing symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251274.

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Kato, Nei. "Session details: Mobile computing III (Mobile Computing symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251286.

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Vasilakos, Athanasios. "Session details: Mobile computing I (Mobile Computing symposium)." In IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251248.

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10

Fernando, Owen Noel Newton, Saipang Chan, Naoko Tosa, Ryohei Nakatsu, Adrian David Cheok, and Ajith P. Madurapperuma. "Personalized Cultural Information for Mobile Devices." In 2011 Second International Conference on Culture and Computing (Culture Computing). IEEE, 2011. http://dx.doi.org/10.1109/culture-computing.2011.32.

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Звіти організацій з теми "Mobile computing"

1

Leson, Joel L. Mobile Computing Devices. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada402388.

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2

Mellott, Jonathan, Stuart Lopata, and F. J. Taylor. A Mobile Computing Environment. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada383540.

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3

Satyanarayanan, Mahadev. Fundamental Challenges in Mobile Computing,. Fort Belvoir, VA: Defense Technical Information Center, February 1996. http://dx.doi.org/10.21236/ada306271.

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4

Satyanarayanan, M., Brian Noble, Puneet Kumar, and Morgan Price. Application-Aware Adaptation for Mobile Computing. Fort Belvoir, VA: Defense Technical Information Center, July 1994. http://dx.doi.org/10.21236/ada288366.

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5

Pasquale, Joseph. System Software Support for Mobile-Agent Computing. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada409193.

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6

Roy, Sumit. Telecommunication Networks for Mobile & Distributed Communications/Computing. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada418978.

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7

Gupta, Rajiv, Santosh Pande, and Soner Onder. Power-Adaptive Microarchitecture and Compiler Design for Mobile Computing. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada416016.

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8

Satyanarayanan, M., James J. Kistler, Lily B. Mummert, Maria R. Ebling, and Puneet Kumar. Experience with Disconnected Operation in a Mobile Computing Environment. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada267524.

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9

Horak, Karl Emanuel, Sharon Marie DeLand, and Dianna Sue Blair. The feasibility of mobile computing for on-site inspection. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1162192.

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10

Chen, Guanling, and David Kotz. Solar: A Pervasive-Computing Infrastructure for Context-Aware Mobile Applications. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada440303.

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