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Relevant bibliographies by topics / Mobile computing middleware and services

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Academic literature on the topic 'Mobile computing middleware and services'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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Journal articles on the topic "Mobile computing middleware and services"

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Akherfi, Khadija, Hamid Harroud, and Michael Gerndt. "A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability." International Journal of Adaptive, Resilient and Autonomic Systems 7, no. 1 (2016): 41–58. http://dx.doi.org/10.4018/ijaras.2016010103.

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With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a

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Ferere, David, Irvin Dongo, and Yudith Cardinale. "SAAQ: A Characterization Method for Distributed Servers in Ubicomp Environments." Sensors 22, no. 17 (2022): 6688. http://dx.doi.org/10.3390/s22176688.

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The increasing evolution of computing technologies has fostered the new intelligent concept of Ubiquitous computing (Ubicomp). Ubicomp environments encompass the introduction of new paradigms, such as Internet of Things (IoT), Mobile computing, and Wearable computing, into communication networks, which demands more efficient strategies to deliver tasks and services, considering heterogeneity, scalability, reliability, and efficient energy consumption of the connected devices. Middlewares have a crucial role to deal with all these aspects, by implementing efficient load balancing methods based

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Corradi, Antonio, Mario Fanelli, and Luca Foschini. "Towards Adaptive and Scalable Context Aware Middleware." International Journal of Adaptive, Resilient and Autonomic Systems 1, no. 1 (2010): 58–74. http://dx.doi.org/10.4018/jaras.2010071704.

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The diffusion of portable client devices is promoting the spreading of novel mobile services, both traditional such as email and printing, and new such as social computing applications, capable of opportunistically exploiting any computing resource and any wireless connectivity encountered by roaming users. The new requirements call for novel context-aware middlewares to support and simplify the retrieval and the usage of context data. However, existing context data dissemination infrastructures still present several limitations: they are unable to adaptively exploit impromptu any wireless com

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Bellavista, Paolo, Antonio Corradi, Rebecca Montanari, and Cesare Stefanelli. "A mobile computing middleware for location- and context-aware internet data services." ACM Transactions on Internet Technology 6, no. 4 (2006): 356–80. http://dx.doi.org/10.1145/1183463.1183465.

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Zheng, Y., and A. T. S. Chan. "MobiGATE: a mobile computing middleware for the active deployment of transport services." IEEE Transactions on Software Engineering 32, no. 1 (2006): 35–50. http://dx.doi.org/10.1109/tse.2006.11.

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Pencheva, Evelina, and Ivaylo Atanasov. "Mobile Edge Services for Quality of Service Control and Access to Terminal Status." Cybernetics and Information Technologies 18, no. 2 (2018): 133–50. http://dx.doi.org/10.2478/cait-2018-0034.

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Abstract An important ingredient of fifth generation (5G) networks will be Multi-access Edge Computing (MEC). MEC brings the computational intelligence of the cloud within the Radio Access Network (RAN). The virtualized functionality is accessible through Application Programming Interfaces (APIs). In this paper, we study capabilities of reuse existing time-tested Web Services to provide mobile edge middleware services. The focus is on mobile edge services that can be used by applications for bandwidth management and access to user contextual information. An extension of Web Service functionali

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Soleimani, S., E. Keshtehgar, and M. R. Malek. "UBISOUND: DESIGN A USER GENERATED MODEL IN UBIQUITOUS GEOSPATIAL INFORMATION ENVIRONMENT FOR SOUND MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3 (October 22, 2014): 243–47. http://dx.doi.org/10.5194/isprsarchives-xl-2-w3-243-2014.

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In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous GIS services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf components, and existing technologies in ubiquitous computing (i.e. wireless and mobile positioning technologies, and data acquisition techniques and processing via sensors) to develop a middleware, and tools for the development of systems and applications to provide effective ubiquitous GIS services. Two main tasks to be studied are: 1) Developing a framework, called UbiSound, to provid

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Jadad, Hamid A., Abderezak Touzene, and Khaled Day. "Offloading as a Service Middleware for Mobile Cloud Apps." International Journal of Cloud Applications and Computing 10, no. 2 (2020): 36–55. http://dx.doi.org/10.4018/ijcac.2020040103.

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Recently, much research has focused on the improvement of mobile app performance and their power optimization, by offloading computation from mobile devices to public cloud computing platforms. However, the scalability of these offloading services on a large scale is still a challenge. This article describes a solution to this scalability problem by proposing a middleware that provides offloading as a service (OAS) to large-scale implementation of mobile users and apps. The proposed middleware OAS uses adaptive VM allocation and deallocation algorithms based on a CPU rate prediction model. Fur

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Neyem, Andrés, Sergio Ochoa, and José Pino. "Integrating Service-Oriented Mobile Units to Support Collaboration in Ad-hoc Scenarios." JUCS - Journal of Universal Computer Science 14, no. (1) (2008): 88–122. https://doi.org/10.3217/jucs-014-01-0088.

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Advances in wireless communication and mobile computing extend collaboration scenarios. Mobile workers using computing devices are currently able to collaborate in order to carry out productive, educational or social activities. Typically, collaborative applications intended to support mobile workers involve some type of centralized data or services, because they are designed to work on infrastructure supported wireless networks. This centralization constrains the collaboration capabilities in ad-hoc communication cases. This paper introduces the concept of Service-Oriented Mobile Unit (SOMU)

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Fadelelmoula, Ashraf Ahmed. "Exploiting Cloud Computing and Web Services to Achieve Data Consistency, Availability, and Partition Tolerance in the Large-Scale Pervasive Systems." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 15 (2021): 74. http://dx.doi.org/10.3991/ijim.v15i15.22517.

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This article presents a new comprehensive approach to realize a sufficient trade-off between the CAP properties (i.e., consistency, availability, and partition tolerance) in the large-scale pervasive information systems. To achieve these critical properties, the capabilities of both cloud computing and web services were exploited in developing the components of the proposed approach. These components include a cloud-based replication architecture for ensuring high data availability and achieving partition tolerance, a web services-based middleware for maintaining the eventual consistency, and

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Dissertations / Theses on the topic "Mobile computing middleware and services"

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Pakkala, Daniel. "Lightweight distributed service platform for adaptive mobile services /." Espoo [Finland] : VTT Technical Research Centre of Finland, 2004. http://www.vtt.fi/inf/pdf/publications/2004/P519.pdf.

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Seshasayee, Balasubramanian. "Middleware-based services for virtual cooperative mobile platforms." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24791.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2008.<br>Committee Chair: Schwan, Karsten; Committee Member: Fujimoto, Richard; Committee Member: Narasimhan, Nitya; Committee Member: Pande, Santosh; Committee Member: Riley, George.

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Hachem, Sara. "Middleware pour l'Internet des Objets Intelligents." Phd thesis, Université de Versailles-Saint Quentin en Yvelines, 2014. http://tel.archives-ouvertes.fr/tel-00960026.

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L'Internet of Things (IoT) est caractérisé par l'introduction, auprès des utilisateurs, d'un nombre grandissant d'objets (ou things) capables d'acquérir des données depuis leur environnement et d'agir sur celui-ci, et dotés de capacités de calcul et de communication sophistiquées. Une grande partie de ces objets ont pour avantage d'être mobiles, mais cette particularitéprovoque aussi l'émergence de problèmes nouveaux. Les plus critiques d'entre eux découlent directement de l'Internet actuel, sous une forme amplifiée, et portent sur la gestion du grand nombre d'utilisateurs et d'objets connecté

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Ben, Mabrouk Nebil. "QoS-aware Service-Oriented Middleware for Pervasive Environments." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00786466.

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Pervasive computing is an intuitive evolution of computing paradigms driven by the wide adoption of mobile devices and wireless networks. It introduces a novel way to support users in their everyday life based on open and dynamic environments populated with unobtrusive services able to perform user tasks on the fly. Nevertheless, supporting user tasks from a functional point of view is not enough to gain the user's satisfaction. Users instead require that their tasks meet a certain Quality of Service (QoS) level. QoS is indeed an inherent and primary requisite of users going along with their r

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Ghiselli, Nicola. "Edge-to-Cloud Service Migration in Constrained Internet of Things Scenarios." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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In this thesis we will treat the Edge-to-Cloud services in the mobile Internet of Things context. Edge-to-Cloud services are services that, up to reach their goals, must run partially on the Cloud and partially on the Edge. This scenario has been chosen for two reasons: it is a very hop-topic nowadays, but these technologies have many treats and weakness to be solved. To refine those problems we considered some Edge-to-Cloud services and so by using some Cloud resources together with other resources, available on the IoT devices. In particular, to use Edge-to-Cloud services, we will move some

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Grace, Paul. "Overcoming middleware heterogeneity in mobile computing applications." Thesis, Lancaster University, 2004. http://eprints.lancs.ac.uk/41569/.

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Recent technical advances have fuelled the popularity of mobile computing. Mobile devices such as smart phones and personal digital assistants are becoming more commonly used due to the reduction in their size and increase of computational power. In addition, wireless network hotspots (in airports, hotels and commercial outlets) are now beginning to populate the environment. With these advances, new types of mobile applications are becoming available to support users on the move. The mobile environment presents a number of challenges to application developers (including frequent network discon

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Omar, Wail M. "Self-management middleware services for autonomic grid computing." Thesis, Liverpool John Moores University, 2006. http://researchonline.ljmu.ac.uk/5784/.

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Leung, Adrian Ho Yin. "Securing mobile ubiquitous services trusted computing." Thesis, Royal Holloway, University of London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537518.

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Manmohanlal, Danilo. "A middleware for service oriented computing in dynamic environments." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/5398.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática<br>The last years have witnessed a convergence on the SOA paradigm from industrial processes enterprises (like logistics or manufacturing), using standards for data and communication. SOA promotes reusability, interoperability and loose-coupling of applications. The convergence towards SOA shows that we are leading to an infrastructure composed by several heterogeneous devices, the "Internet of Things". In this infrastructure everythin

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Rao, Deepak. "Efficient and Portable Middleware for Application-level Adaptation." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33131.

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Software-intensive systems operating in a shared environment must utilize a â request, acquire and releaseâ protocol. In the popular client-server architecture resource-poor clients rely on servers for the needed capabilities. With mobile clients using wireless connectivity, the disparity in resource needs can force the consideration of adaptation by clients, leading to a strategy of self-reliance. Achieving self-reliance through adaptation becomes even more attractive in environments, which are dynamic and continually changing. A more comprehensive strategy is for the mobile client to

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Books on the topic "Mobile computing middleware and services"

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Pakkala, Daniel. Lightweight distributed service platform for adaptive mobile services. VTT Technical Research Centre of Finland, 2004.

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Ghezzi, Antonio. A qualitative technology classification framework for mobile middleware content and service delivery platform assessment. Novinka/Nova Science Publishers, 2011.

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Tarkoma, Sasu. Mobile Middleware. John Wiley & Sons, Ltd., 2009.

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Garbinato, Benoît. Middleware for Network Eccentric and Mobile Applications. Springer Berlin Heidelberg, 2009.

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Deng, Shuiguang, Albert Zomaya, and Ning Li, eds. Mobile Computing, Applications, and Services. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99203-3.

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Zhang, Joy Ying, Jarek Wilkiewicz, and Ani Nahapetian, eds. Mobile Computing, Applications, and Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32320-1.

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Murao, Kazuya, Ren Ohmura, Sozo Inoue, and Yusuke Gotoh, eds. Mobile Computing, Applications, and Services. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90740-6.

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Hung, Patrick C. K., ed. Mobile Services for Toy Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21323-1.

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Gris, Martin, and Guang Yang, eds. Mobile Computing, Applications, and Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29336-8.

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Memmi, Gérard, and Ulf Blanke, eds. Mobile Computing, Applications, and Services. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05452-0.

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Book chapters on the topic "Mobile computing middleware and services"

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Guan, Tao, Ed Zaluska, and David De Roure. "A Semantic Service Matching Middleware for Mobile Devices Discovering Grid Services." In Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68083-3_41.

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Park, Namje, Kiyoung Moon, Jongsu Jang, and Sungwon Sohn. "Middleware Framework for Secure Grid Application in Mobile Web Services Environment." In Grid and Cooperative Computing - GCC 2004 Workshops. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30207-0_51.

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Hogie, Luc. "A Service-Oriented Middleware Enabling Decentralised Deployment in Mobile Multihop Networks." In Service-Oriented Computing – ICSOC 2022 Workshops. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26507-5_17.

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Miñano, Borja, Isaac Lera, Pere P. Sancho, Carlos Juiz, and Ramon Puigjaner. "Context-Broker Service Architecture for AmI Systems Through Mobile-Agents and Ontologies as Middleware." In Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11942634_92.

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Mascolo, Cecilia, Licia Capra, and Wolfgang Emmerich. "Mobile Computing Middleware." In Advanced Lectures on Networking. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36162-6_2.

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Mascolo, Cecilia, Licia Capra, and Wolfgang Emmerich. "Principles of Mobile Computing Middleware." In Middleware for Communications. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470862084.ch11.

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McKinley, Philip K., Udiyan I. Padmanabhan, and Nandagopal Ancha. "Experiments in Composing Proxy Audio Services for Mobile Users." In Middleware 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45518-3_6.

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Radwan, Alaa Abd Elhamid, and Mohammad Tabrez Quasim. "Toward semantic representation of middleware services." In Smart Computing. CRC Press, 2021. http://dx.doi.org/10.1201/9781003167488-1.

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Zhang, L. J., B. Li, and Y. Song. "Mobile Services Computing." In Enabling Technologies for Wireless E-Business. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-30637-5_12.

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Wang, Guijun, Alice Chen, Surya Sripada, and Changzhou Wang. "Application of Middleware Technologies to Mobile Enterprise Information Services." In Middleware for Communications. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470862084.ch12.

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Conference papers on the topic "Mobile computing middleware and services"

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Medjahed, Brahim, and David Carver. "An Enterprise Messaging Middleware for Mobile Services." In 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07). IEEE, 2007. http://dx.doi.org/10.1109/icdcsw.2007.97.

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Shao, Zihao, Tonghua Su, Manyang Xu, Qinglin Liu, Ruipeng Han, and Zhongjie Wang. "A Novel Heterogeneous Computing Middleware for Mobile AI Services." In 2022 IEEE International Conference on Edge Computing and Communications (EDGE). IEEE, 2022. http://dx.doi.org/10.1109/edge55608.2022.00034.

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Sze-Wing Wong and Kam-Wing Ng. "A middleware framework for secure mobile grid services." In Sixth IEEE International Symposium on Cluster Computing and the Grid. IEEE, 2006. http://dx.doi.org/10.1109/ccgrid.2006.1630898.

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Kwon, Young-Woo, and Eli Tilevich. "Configurable and Adaptive Middleware for Energy-Efficient Distributed Mobile Computing." In 6th International Conference on Mobile Computing, Applications and Services. ICST, 2014. http://dx.doi.org/10.4108/icst.mobicase.2014.257807.

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Chibani, Abdelghani, Karim Djouani, and Yacine Amirat. "Semantic Middleware for Context Services Composition in Ubiquitous Computing." In 1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications. ICST, 2008. http://dx.doi.org/10.4108/icst.mobilware2008.2486.

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Mahmoud, Qusay, and Eyhab Al-Masri. "MSM: A Middleware Architecture for Enhancing Interaction with Mobile Services." In 2007 2nd International Symposium on Wireless Pervasive Computing. IEEE, 2007. http://dx.doi.org/10.1109/iswpc.2007.342642.

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O'Sullivan, Michael J., and Dan Grigoras. "Context Aware Mobile Cloud Services: A User Experience Oriented Middleware for Mobile Cloud Computing." In 2016 4th IEEE International Conference on Mobile Cloud Computing, Services and Engineering (MobileCloud). IEEE, 2016. http://dx.doi.org/10.1109/mobilecloud.2016.13.

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Lin, Ma, and Liao Qing. "A Middleware for Cross-Platform and Context-Aware of Mobile Terminals." In 2012 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2012. http://dx.doi.org/10.1109/apscc.2012.71.

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Venezia, Claudio, Nick Taylor, Howard Williams, Kevin Doolin, and Ioanna Roussaki. "Novel Pervasive Computing Services Experienced through Personal Smart Spaces." In 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware. IEEE, 2009. http://dx.doi.org/10.1109/mdm.2009.85.

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Ibrahim, Noha. "Orthogonal Classification of Middleware Technologies." In 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM). IEEE, 2009. http://dx.doi.org/10.1109/ubicomm.2009.24.

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Reports on the topic "Mobile computing middleware and services"

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Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3895.

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We analyzed the main cloud services in the article. We also described the main contribution of mobile cloud technology to education. The article presents the author’s development from the field of mobile cloud education in higher mathematics. The design architecture of this application is described in detail: QR generator and scanner, authorization, sending tasks. Block diagrams and images are presented that clearly demonstrate the operation of the application. We showed an example of solving the integral from the section of integral calculus for higher mathematics and showed how to download t

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Fang, Mei Lan, Judith Sixsmith, Jacqui Morris, et al. AgeTech, Ethics and Equity: Towards a Cultural Shift in AgeTech Ethical Responsibility. University of Dundee, 2023. http://dx.doi.org/10.20933/100001292.

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Population ageing is a global phenomenon which presents major challenges for the provision of care at home and in the community (ONS, 2018). Challenges include the human and economic costs associated with increasing numbers of older people with poor physical and mental health, loneliness, and isolation challenges (Mihalopoulos et al., 2020). The global ageing population has led to a growth in the development of technology designed to improve the health, well-being, independence, and quality of life of older people across various settings (Fang, 2022). This emerging field, known as “AgeTech,” r

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