Littérature scientifique sur le sujet « Applications collaboratives mobiles »
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Articles de revues sur le sujet "Applications collaboratives mobiles"
Guetmi, Nadir, et Abdessamad Imine. « Cloud patterns for mobile collaborative applications ». International Journal of Intelligent Information and Database Systems 10, no 3/4 (2017) : 191. http://dx.doi.org/10.1504/ijiids.2017.087245.
Texte intégralGuetmi, Nadir, et Abdessamad Imine. « Cloud patterns for mobile collaborative applications ». International Journal of Intelligent Information and Database Systems 10, no 3/4 (2017) : 191. http://dx.doi.org/10.1504/ijiids.2017.10007786.
Texte intégralMESSEGUER, ROC, ESUNLY MEDINA, SERGIO F. OCHOA, JOSÉ A. PINO, ANDRES NEYEM, LEANDRO NAVARRO et DOLORS ROYO. « COMMUNICATION SUPPORT FOR MOBILE COLLABORATIVE WORK : AN EXPERIMENTAL STUDY ». International Journal of Information Technology & ; Decision Making 11, no 06 (novembre 2012) : 1035–63. http://dx.doi.org/10.1142/s0219622012400147.
Texte intégralLee, Hochul, Jaehun Lee, Young Choon Lee et Sooyong Kang. « CollaboRoid : Mobile platform support for collaborative applications ». Pervasive and Mobile Computing 55 (avril 2019) : 13–31. http://dx.doi.org/10.1016/j.pmcj.2019.02.006.
Texte intégralHagiwara, Takuma, Kazuki Takashima, Morten Fjeld et Yoshifumi Kitamura. « CamCutter : Impromptu Vision-Based Cross-Device Application Sharing ». Interacting with Computers 31, no 6 (1 novembre 2019) : 539–54. http://dx.doi.org/10.1093/iwcomp/iwz035.
Texte intégralAurand, Martin. « Making a Collaborative Mobile Architectural Guidebook Application ». Art Documentation : Journal of the Art Libraries Society of North America 36, no 2 (septembre 2017) : 322–31. http://dx.doi.org/10.1086/694247.
Texte intégralLundin, J., et M. Magnusson. « Collaborative learning in mobile work ». Journal of Computer Assisted Learning 19, no 3 (septembre 2003) : 273–83. http://dx.doi.org/10.1046/j.0266-4909.2003.00029.x.
Texte intégralMallampalli, Sasi Sekhar, et Shriya Goyal. « Mobile Applications for Developing Second Language Collaborative Writing ». International Journal of Interactive Mobile Technologies (iJIM) 15, no 07 (9 avril 2021) : 185. http://dx.doi.org/10.3991/ijim.v15i07.19885.
Texte intégralJiang, Pingyu, Leijie Fu et Bo Yu. « Developing a mobile collaborative toolkit for industrial applications ». International Journal of Internet Manufacturing and Services 2, no 3/4 (2010) : 365. http://dx.doi.org/10.1504/ijims.2010.033944.
Texte intégralMantyjarvi, J., P. Huuskonen et J. Himberg. « Collaborative context determination to support mobile terminal applications ». IEEE Wireless Communications 9, no 5 (octobre 2002) : 39–45. http://dx.doi.org/10.1109/mwc.2002.1043852.
Texte intégralThèses sur le sujet "Applications collaboratives mobiles"
Guetmi, Nadir. « Modèles de conception pour des applications collaboratives dans le cloud ». Thesis, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2016. http://www.theses.fr/2016ESMA0016/document.
Texte intégralNowadays we assist to an enormous progress of mobile collaborative applications. These applications take advantage of the increasing availability of communication networks and the impressive evolution of mobile devices. However, even with a developing acceleration, they are still poor in resources (short life of batteries andunstable network connections) and less secure. In the context of our work, we propose a new approach based on the deployment of mobile collaboration tasks to the cloud. The management of efficient virtualization ensuring continuity of collaboration in peer-to-peer networks is a very difficult task. Indeed, the dynamic aspect of the groups (where users can join, leave or change groups) and a vulnerability to failures can affect the collaboration.In addition, the design of such applications must consider the heterogeneity of cloud and mobile environments.Unlike existing works, we propose a reusable high-level architecture based on patterns design, which can be easily adapted to heterogeneous clouds and mobile environments. Our models have been used as basis for the design of:(i) MidBox, a virtual platform for running mobile collaborative applications on a private cloud and (ii) MobiRDFa decentralized cloud service for real-time manipulation of knowledge via shared RDF documents
Yu, Shuai. « Multi-user computation offloading in mobile edge computing ». Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS462.
Texte intégralMobile Edge Computing (MEC) is an emerging computing model that extends the cloud and its services to the edge of the network. Consider the execution of emerging resource-intensive applications in MEC network, computation offloading is a proven successful paradigm for enabling resource-intensive applications on mobile devices. Moreover, in view of emerging mobile collaborative application (MCA), the offloaded tasks can be duplicated when multiple users are in the same proximity. This motivates us to design a collaborative computation offloading scheme for multi-user MEC network. In this context, we separately study the collaborative computation offloading schemes for the scenarios of MEC offloading, device-to-device (D2D) offloading and hybrid offloading, respectively. In the MEC offloading scenario, we assume that multiple mobile users offload duplicated computation tasks to the network edge servers, and share the computation results among them. Our goal is to develop the optimal fine-grained collaborative offloading strategies with caching enhancements to minimize the overall execution delay at the mobile terminal side. To this end, we propose an optimal offloading with caching-enhancement scheme (OOCS) for femto-cloud scenario and mobile edge computing scenario, respectively. Simulation results show that compared to six alternative solutions in literature, our single-user OOCS can reduce execution delay up to 42.83% and 33.28% for single-user femto-cloud and single-user mobile edge computing, respectively. On the other hand, our multi-user OOCS can further reduce 11.71% delay compared to single-user OOCS through users' cooperation. In the D2D offloading scenario, we assume that where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal here is to find an optimal network partition for D2D multicast offloading, in order to minimize the overall energy consumption at the mobile terminal side. To this end, we first propose a D2D multicast-based computation offloading framework where the problem is modelled as a combinatorial optimization problem, and then solved using the concepts of from maximum weighted bipartite matching and coalitional game. Note that our proposal considers the delay constraint for each mobile user as well as the battery level to guarantee fairness. To gauge the effectiveness of our proposal, we simulate three typical interactive components. Simulation results show that our algorithm can significantly reduce the energy consumption, and guarantee the battery fairness among multiple users at the same time. We then extend the D2D offloading to hybrid offloading with social relationship consideration. In this context, we propose a hybrid multicast-based task execution framework for mobile edge computing, where a crowd of mobile devices at the network edge leverage network-assisted D2D collaboration for wireless distributed computing and outcome sharing. The framework is social-aware in order to build effective D2D links [...]
Demigha, Oualid. « Energy Conservation for Collaborative Applications in Wireless Sensor Networks ». Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0058/document.
Texte intégralWireless Sensor Networks is an emerging technology enabled by the recent advances in Micro-Electro-Mechanical Systems, that led to design tiny wireless sensor nodes characterized by small capacities of sensing, data processing and communication. To accomplish complex tasks such as target tracking, data collection and zone surveillance, these nodes need to collaborate between each others to overcome the lack of battery capacity. Since the development of the batteries hardware is very slow, the optimization effort should be inevitably focused on the software layers of the protocol stack of the nodes and their operating systems. In this thesis, we investigated the energy problem in the context of collaborative applications and proposed an approach based on node selection using predictions and data correlations, to meet the application requirements in terms of energy-efficiency and quality of data. First, we surveyed almost all the recent approaches proposed in the literature that treat the problem of energy-efficiency of prediction-based target tracking schemes, in order to extract the relevant recommendations. Next, we proposed a dynamic clustering protocol based on an enhanced version of the Distributed Kalman Filter used as a prediction algorithm, to design an energy-efficient target tracking scheme. Our proposed scheme use these predictions to anticipate the actions of the nodes and their roles to minimize their number in the tasks. Based on our findings issued from the simulation data, we generalized our approach to any data collection scheme that uses a geographic-based clustering algorithm. We formulated the problem of energy minimization under data precision constraints using a binary integer linear program to find its exact solution in the general context. We validated the model and proved some of its fundamental properties. Finally and given the complexity of the problem, we proposed and evaluated a heuristic solution consisting of a correlation-based adaptive clustering algorithm for data collection. We showed that, by relaxing some constraints of the problem, our heuristic solution achieves an acceptable level of energy-efficiency while preserving the quality of data
Golchay, Roya. « From mobile to cloud : Using bio-inspired algorithms for collaborative application offloading ». Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI009.
Texte intégralNot bounded by time and place, and having now a wide range of capabilities, smartphones are all-in-one always connected devices - the favorite devices selected by users as the most effective, convenient and neces- sary communication tools. Current applications developed for smartphones have to face a growing demand in functionalities - from users, in data collecting and storage - from IoT device in vicinity, in computing resources - for data analysis and user profiling; while - at the same time - they have to fit into a compact and constrained design, limited energy savings, and a relatively resource-poor execution environment. Using resource- rich systems is the classic solution introduced in Mobile Cloud Computing to overcome these mobile device limitations by remotely executing all or part of applications to cloud environments. The technique is known as application offloading. Offloading to a cloud - implemented as geographically-distant data center - however introduces a great network latency that is not acceptable to smartphone users. Hence, massive offloading to a centralized architecture creates a bottleneck that prevents scalability required by the expanding market of IoT devices. Fog Computing has been introduced to bring back the storage and computation capabilities in the user vicinity or close to a needed location. Some architectures are emerging, but few algorithms exist to deal with the dynamic properties of these environments. In this thesis, we focus our interest on designing ACOMMA, an Ant-inspired Collaborative Offloading Middleware for Mobile Applications that allowing to dynamically offload application partitions - at the same time - to several remote clouds or to spontaneously-created local clouds including devices in the vicinity. The main contributions of this thesis are twofold. If many middlewares dealt with one or more of offloading challenges, few proposed an open architecture based on services which is easy to use for any mobile device without any special requirement. Among the main challenges are the issues of what and when to offload in a dynamically changing environment where mobile device profile, context, and server properties play a considerable role in effectiveness. To this end, we develop bio-inspired decision-making algorithms: a dynamic bi-objective decision-making process with learning, and a decision-making process in collaboration with other mobile devices in the vicinity. We define an offloading mechanism with a fine-grained method-level application partitioning on its call graph. We use ant colony algorithms to optimize bi-objectively the CPU consumption and the total execution time - including the network latency
Soon, Chien Jon. « An architecture for user configurable mobile collaborative geographic applications ». Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/37311/1/Chien_Soon_Thesis.pdf.
Texte intégralKheiravar, Salma. « MACL, a mobile application for Collaborative Learning ». Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45568.
Texte intégralShurtz, Richard S. « Application Sharing from Mobile Devices with a Collaborative Shared Display ». BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4084.
Texte intégralMcCaffery, Duncan James. « Supporting Low Latency Interactive Distributed Collaborative Applications in Mobile Environments ». Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524740.
Texte intégralHommerberg, Måns. « Enriching Circuit Switched Mobile Phone Calls with Cooperative Web Applications ». Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-159974.
Texte intégralElvander, Adam. « Developing a Recommender System for a Mobile E-commerce Application ». Thesis, Uppsala universitet, Avdelningen för datalogi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256747.
Texte intégralChapitres de livres sur le sujet "Applications collaboratives mobiles"
Zhang, Sheng, et Jie Wu. « Collaborative Mobile Charging ». Dans Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks, 505–31. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46810-5_19.
Texte intégralGuo, Yi, Lynne E. Parker et Raj Madhavan. « Collaborative Robots for Infrastructure Security Applications ». Dans Mobile Robots : The Evolutionary Approach, 185–200. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49720-2_9.
Texte intégralCruz Torres, Mario Henrique, Robrecht Haesevoets et Tom Holvoet. « CooS : Coordination Support for Mobile Collaborative Applications ». Dans Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 152–63. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40238-8_13.
Texte intégralShrira, Liuba, et Hong Tian. « MX : Mobile Object Exchange for Collaborative Applications ». Dans ECOOP 2003 – Object-Oriented Programming, 126–50. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45070-2_7.
Texte intégralYang, Qinglin, Xiaofei Luo, Peng Li et Toshiaki Miyazaki. « Collaborative Inference for Mobile Deep Learning Applications ». Dans 2nd International Conference on 5G for Ubiquitous Connectivity, 1–12. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22316-8_1.
Texte intégralReverte, Óscar Cánovas, et Félix J. García Clemente. « Learning Technological Innovation on Mobile Applications by Means of a Spiral of Projects ». Dans Interactive Collaborative Learning, 16–28. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50340-0_2.
Texte intégralTripathi, Anand, Tanvir Ahmed, Vineet Kakani et Shremattie Jaman. « Distributed Collaborations Using Network Mobile Agents ». Dans Agent Systems, Mobile Agents, and Applications, 126–37. Berlin, Heidelberg : Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-45347-5_11.
Texte intégralNandi, Enakshmi, Ranjan Kumar Mondal, Payel Ray et Debabrata Sarddar. « Secured Mobile Collaborative Application in Cloud Environments ». Dans Methodologies and Application Issues of Contemporary Computing Framework, 167–76. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2345-4_13.
Texte intégralBourimi, Mohamed, Thomas Barth, Bernd Ueberschär et Kesdogan Dogan. « Towards Building User-Centric Privacy-Respecting Collaborative Applications ». Dans Intelligent Interactive Assistance and Mobile Multimedia Computing, 341–42. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10263-9_33.
Texte intégralHerskovic, Valeria, Sergio F. Ochoa, José A. Pino, Pedro Antunes et Emilio Ormeño. « Identifying the Awareness Mechanisms for Mobile Collaborative Applications ». Dans Lecture Notes in Computer Science, 241–56. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41347-6_18.
Texte intégralActes de conférences sur le sujet "Applications collaboratives mobiles"
Pichiliani, Mauro Carlos, Prasun Dewan et Celso Massaki Hirata. « Executive Summary : Lacomo : A Layer to Develop Collaborative Mobile Applications ». Dans XV Simpósio Brasileiro de Sistemas Colaborativos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbsc.2019.7819.
Texte intégralWang, Alf Inge, Tommy Bjornsgard et Kim Saxlund. « Peer2Me - rapid application framework for mobile peer-to-peer applications ». Dans 2007 International Symposium on Collaborative Technologies and Systems (CTS). IEEE, 2007. http://dx.doi.org/10.1109/cts.2007.4621778.
Texte intégralGallardo-Lopez, Lizbeth, Beatriz A. Gonzalez-Beltran, Roberto Garcia-Madrid, Marco Ferruzca, Irma A. Zafra-Ballinas et Jose A. Reyes-Ortiz. « Collaborative working : Understanding mobile applications requirements ». Dans 2015 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2015. http://dx.doi.org/10.1109/csci.2015.86.
Texte intégralKillijian, Marc-Olivier, David Powell, Michel Ban�tre, Paul Couderc et Yves Roudier. « Collaborative backup for dependable mobile applications ». Dans the 2nd workshop. New York, New York, USA : ACM Press, 2004. http://dx.doi.org/10.1145/1028509.1028517.
Texte intégralWorship, G. « Will utilities need collaborative mobile applications ? » Dans IEE Colloquium on Mobile Computing and its Applications. IEE, 1995. http://dx.doi.org/10.1049/ic:19951392.
Texte intégralNair, Rajesh. « Collaborative innovation for future mobile applications ». Dans 2013 IEEE Asian Solid-State Circuits Conference (A-SSCC). IEEE, 2013. http://dx.doi.org/10.1109/asscc.2013.6690970.
Texte intégralKheiravar, Salma, Patricia Lasserre et Robert Campbell. « A mobile application for collaborative learning ». Dans the 14th international conference. New York, New York, USA : ACM Press, 2012. http://dx.doi.org/10.1145/2371664.2371690.
Texte intégralMtibaa, Abderrahmen, Mohammad Abu Snober, Antonio Carelli, Roberto Beraldi et Hussein Alnuweiri. « Collaborative Mobile-To-Mobile Computation Offloading ». Dans 10th IEEE International Conference on Collaborative Computing : Networking, Applications and Worksharing. ICST, 2014. http://dx.doi.org/10.4108/icst.collaboratecom.2014.257610.
Texte intégralChen, Qian, Yunfei Chen), Ziyue Huang et Lei Tang. « Research on Key Elements of UI Design of Image Editing System Based on CSCW ». Dans Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001068.
Texte intégralBajaj, Garvita, et Pushpendra Singh. « Sahyog : A middleware for mobile collaborative applications ». Dans 2015 7th International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2015. http://dx.doi.org/10.1109/ntms.2015.7266518.
Texte intégralRapports d'organisations sur le sujet "Applications collaboratives mobiles"
Oleksiuk, Vasyl P., et Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], novembre 2020. http://dx.doi.org/10.31812/123456789/4404.
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