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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 middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

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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 on the hardware characterization and the computational cost of the queries and tasks. However, most existing solutions do not take into account both considerations in conjunction. In this context, we propose a methodology to characterize distributed servers, services, and network delays in Ubicomp environments, based on the Server Ability to Answer a Query (SAAQ). To evaluate our SAAQ-based methodology, we implemented a simple middleware in a museum context, in which different IoT devices (e.g., social robots, mobile devices) and distributed servers with different capabilities can participate, and performed a set of experiments in scenarios with diverse hardware and software characteristics. Results show that the middleware is able to distribute queries to servers with adequate capacity, freeing from service requests to devices with hardware restrictions; thus, our SAAQ-based middleware has a good performance regarding throughput (22.52 ms for web queries), end-to-end delay communications (up to 193.30 ms between San Francisco and Amsterdam), and good management of computing resources (up to 80% of CPU consumption).

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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 communication opportunity; they are unable to scale, especially in wide/densely populated environments; and they are prone to connection/device flaws. The article proposes a novel context-aware middleware that achieves adaptability, scalability, and dependability in context data dissemination through three main core guidelines: by using a distributed hierarchical architecture, by employing lightweight and adaptive context data dissemination solutions, and by adopting statistical context data/query replication techniques. The performance results, obtained by extensively testing the proposed solution in our wireless university campus testbed, have validated our design choices.

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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 functionality is proposed. Implementation issues of Web Services in RAN are considered.

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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 provide the infrastructure and architectural support for realizing ubiquitous GIS services; and 2) Designing and developing ubiquitous GIS applications by utilizing the UbiSound framework to let users experience and benefit from the context aware services. We use scenario to illustrate how mobile/wireless and sensor technologies can enable ubiquitous GIS services in UbiSound. Some of the examples included in UbiSound are: Noise mapping, soundscape mapping and wellbeing data acquisition and analysis.

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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. Furthermore, it dynamically schedules the requests using a load-balancing algorithm to ensure meeting QoS requirements at a lower cost. The authors have tested the proposed algorithm by conducting multiple simulations and compared our results with state-of-the-art algorithms based on various performance metrics under multiple load conditions. The results show that OAS achieves better response time with a minimum number of VMs and reduces 50% of the cost compared to existing approaches.

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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) in order to reduce such limitation. SOMU is an autonomous software infrastructure running on a computing device; it is able to be integrated to ad-hoc networks and it can interoperate with other mobile units in ad-hoc collaboration scenarios. In addition, the paper presents the challenges faced when designing and implementing the SOMU platform. It also describes an application developed on 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 a data caching scheme to enable the mobile computing elements to conduct update transactions during the disconnection periods. The evaluation of the performance aspects revealed that the proposed approach is able to achieve a load balance, lower propagation delay, and higher cache hit ratio, as compared to other baseline approaches.

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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 connectés, l'interopérabilité entre des objets aux technologies hétérogènes et les changements d'environnement dus à la mobilité d'un très grand nombre d'objets. Cette thèse se propose d'étudier et de résoudre les problèmes susmentionnés en adaptant l'Architecture Orientée Service (SOA) pour que les capteurs et les actionneurs intégrés aux objets puissent être présentés comme des services et, de fait, réduire le couplage entre ces services et leurs hôtes de façon à abstraire leur nature hétérogène. Toutefois, en dépit de ses avantages, SOA n'a pas été conçue pour gérer une aussi grande échelle que celle de l'IoT mobile. En conséquence, la contribution principale de cette thèse porte sur la conception d'une Thing-based Service-Oriented Architecture repensant les fonctionnalités de SOA, et tout particulièrement les mécanismes de découverte et de composition de services. Cette nouvelle architecture a été mise en oeuvre au sein de MobIoT, un middleware spécifiquement conçu pour gérer et contrôler le très grand nombre d'objets mobiles impliqués dans les opérations propres à l'IoT. Dans le but d'évaluer cette nouvelle architecture, nous avons implémenté un prototype et analysé ses performances au travers de nombreuses expériences qui démontrent que les solutions que nous proposons sont viables et pertinentes, notamment en ce qui concerne le passage à l'échelle.

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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 required tasks. In the context of pervasive environments, fulfilling user tasks while delivering satisfactory QoS brings about several challenges that are mainly due to the openness, dynamics, and limited underlying resources of these environments. These challenges are mainly about (i) the lack of common QoS understanding among users and service providers, (ii) determining and integra- ting, on the fly, the services available in the environment and able to fulfill the functional and QoS requirements of users, and (iii) adapting the provided services at run-time to cope with QoS fluctuations and ensure meeting user requirements. To cope with the aforementioned issues, we opt for a middleware-based solution. Middle- ware represents indeed the appropriate software system to deal with common concerns of user applications such as QoS. In particular, we opt for a specific kind of middleware, viz., Ser- vice Oriented Middleware (SOM). SOM can leverage middleware technologies and the Service Oriented Computing (SOC) paradigm to enable pervasive environments as dynamic service en- vironments. Particularly, SOM can provide middleware services that allow for supporting QoS of user applications offered by pervasive environments. This thesis presents a QoS-aware service-oriented middleware for pervasive environments. The main contributions of this middleware are : (1) a semantic end-to-end QoS model that enables shared understanding of QoS in pervasive environments, (2) an efficient QoS-aware service composition approach allowing to build service compositions able to fulfill the user functional and QoS requirements, and (3) a QoS-driven adaptation approach to cope with QoS fluctuations during the execution of service compositions. The proposed contributions are implemented within a middleware platform called QASOM and their efficiency is validated based on experimental results.

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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 resources from the Cloud to the device and so, Edge-to-Cloud service can also help the developer to make the deployment of his applications and this is an important feature in the IoT context. In this work our intent will be to make a support system for the developers and for the applications that helps to handle all the application life-cycle, offering a solution that will behave as a Middleware and so that is able to offer some service to the final applications in an almost transparent way. Between al the possible services, we focused our attention in the Migration services and so those services that allow to migrate the requests or application components. To do that we decided to split the applications in components, giving the possibility to the support system on the device to intercept the communication messages between the components. After having intercepted a message, the support system must autonomously take a decision for the application and it must decide if use a Cloud or a local resource to complete the task. Moreover, in most cases, this scenario is a constrained scenario, where the constrain are given by the application requirements. Up to offer a support system that will be more general as possible, we will introduce some user policies, by which the user will give some guidelines to the Edge-to-Cloud support system behavior.

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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 disconnection and variable bandwidth); therefore mobile middleware platforms have emerged to simplify the development process of distributed mobile applications. However, the range of platforms now available introduces the new problem of middleware heterogeneity, i.e., applications developed upon different types of middleware do not interoperate with one another. Hence, the next generation of mobile computing applications must be developed independently of specific middleware implementation to allow them to continue interoperating in new locations. This thesis investigates the problem of middleware heterogeneity in the mobile computing environment. The approach taken to solve this problem involves the development of a component-based, higher-level middleware framework (named ReMMoC) that can dynamically adapt its underlying behaviour between different concrete middleware implementations e.g. in one location CORBA is utilised, whereas at the next location SOAP is used. Furthermore, this framework promotes a higher-level programming abstraction based upon the abstract services concepts of the Web Services Architecture. The ReMMoC framework is evaluated to ensure that middleware transparency is achieved and that applications can be developed that will operate in unknown locations across unpredictable middleware implementation. Inevitably, the ability to overcome heterogeneity comes at the cost of an incurred performance overhead; hence, this thesis also evaluates the impact of this overhead in the domain of mobile computing.

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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 everything can be abstracted as a service, such as household appliances, mobile devices, or industrial machinery. It is expected that this trend will continue, and as these devices interoperate in service composition, new functionalities may be discovered. Existing approaches for service composition, namely in business processes, are too bound to BPEL. Several alternatives and extensions of BPEL have been developed, but they feel more like patches than solutions. In this context SeDeUse [29] model has been proposed as an exercise to define new language constructs promoting a separation from service awareness and use. The model also relies on a middleware layer to support the execution of the application in dynamic environments. The goal of this dissertation is to instantiate the SeDeUse model in a widely used programming language in order to provide a framework for its assessment and for its future development. The work consists on implementing a concrete syntax for the model, a compilation process, and a middleware layer. The syntax contains the new language constructs that are integrated in the hosting language. The compilation process is responsible for service definition and code generation. Finally, the middleware acts as a support for the application (generated code) requests. We have seamlessly integrated SeDeUse in the Java programming language and developed a functional prototype. To assess the prototype capability, three scenarios were developed in which we demonstrated that our implementation provides a new, and simpler, approach for abstracting resources as services.

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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 recognize the changing resource levels and plan for any such degradation; that is, the applications in the mobile client need to adapt to the changing environment and availability of resources. Portable adaptation middleware that is sensitive to architecture and context changes in network operations is designed and implemented. The Adaptation Middleware not only provides the flexibility for the client applications to adapt to changing resources around them, but also to changing resource levels within the client applications. Further, the Adaptation Middleware imposes few changes on the structure of the client application. The Adaptation Middleware creates the adaptations; the client remains unaware and unconcerned with these adaptations. The Adaptation Middleware in this study also enables a more informative cost estimation with regard to applications such as mobile agents. A sample application developed using the Adaptation Middleware shows performance improvements in the range of 31% to 54%. A limited set of experiments show an average response time of 68 milliseconds, which seems acceptable for most applications. Further, the Adaptation Middleware permits increased stability for applications demonstrating demand levels subject to high uncertainty.<br>Master of Science

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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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Abstract:

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 the answer in the form of a QR code and find out whether it is correct or incorrect (this can be seen by the color on the smart phone screen). It is shown how this technology helps the teacher save time for checking assignments completed by students. This confirms its effectiveness. Such an application provides students and teachers with the ability to store and process data on a cloud computing platform.

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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,” refers to “the use of advanced technologies such as information and communications technologies (ICT’s), technologies related to e-health, robotics, mobile technologies, artificial intelligence (AI), ambient systems, and pervasive computing to drive technology-based innovation to benefit older adults” (Sixsmith, et al., 2020 p1; see also Pruchno, 2019; Sixsmith, Sixsmith, Fang, and Horst, 2020). AgeTech has the potential to contribute in positive ways to the everyday life and care of older people by improving access to services and social supports, increasing safety and community inclusion; increasing independence and health, as well as reducing the impact of disability and cognitive decline for older people (Sixsmith et al, 2020). At a societal level, AgeTech can provide opportunities for entrepreneurs and businesses (where funding and appropriate models exist) (Akpan, Udoh and Adebisi, 2022), reduce the human and financial cost of care (Mihalopoulos et al., 2020), and support ageing well in the right place (Golant, 2015).

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