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

Author: Grafiati

Published: 3 June 2025

Last updated: 23 June 2025

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1

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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8

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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Hirsch, Matías, Cristian Mateos, Alejandro Zunino, Tim A. Majchrzak, Tor-Morten Grønli, and Hermann Kaindl. "A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones." Electronics 10, no. 16 (2021): 2006. http://dx.doi.org/10.3390/electronics10162006.

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The computing resources of today’s smartphones are underutilized most of the time. Using these resources could be highly beneficial in edge computing and fog computing contexts, for example, to support urban services for citizens. However, new challenges, especially regarding job scheduling, arise. Smartphones may form ad hoc networks, but individual devices highly differ in computational capabilities and (tolerable) energy usage. We take into account these particularities to validate a task execution scheme that relies on the computing power that clusters of mobile devices could provide. In this paper, we expand the study of several practical heuristics for job scheduling including execution scenarios with state-of-the-art smartphones. With the results of new simulated scenarios, we confirm previous findings and better comprehend the baseline approaches already proposed for the problem. This study also sheds some light on the capabilities of small-sized clusters comprising mid-range and low-end smartphones when the objective is to achieve real-time stream processing using Tensorflow object recognition models as edge jobs. Ultimately, we strive for industry applications to improve task scheduling for dew computing contexts. Heuristics such as ours plus supporting dew middleware could improve citizen participation by allowing a much wider use of dew computing resources, especially in urban contexts in order to help build smart cities.

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De, Ipiña Diego, Juan Vázquez, Daniel García, et al. "EMI²lets: A Reflective Framework for Enabling AmI." JUCS - Journal of Universal Computer Science 12, no. (3) (2006): 297–314. https://doi.org/10.3217/jucs-012-03-0297.

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An interesting new application domain for handheld devices may be represented by Ambient Intelligence (AmI), where they can be used as intermediaries between us and our surrounding environment. Thus, the devices, which always accompany us, will behave as electronic butlers who assist us in our daily tasks, by interacting with the smart objects (everyday objects augmented with computational services) in our whereabouts. In order to achieve such goal, this paper proposes an AmI-enabling framework providing two main functions: a) facilitate the development and deployment of smart objects and b) transform mobile devices into universal remote controllers of those smart objects.

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Shah, Sayed-Chhattan. "Design of a Machine Learning-Based Intelligent Middleware Platform for a Heterogeneous Private Edge Cloud System." Sensors 21, no. 22 (2021): 7701. http://dx.doi.org/10.3390/s21227701.

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Recent advances in mobile technologies have facilitated the development of a new class of smart city and fifth-generation (5G) network applications. These applications have diverse requirements, such as low latencies, high data rates, significant amounts of computing and storage resources, and access to sensors and actuators. A heterogeneous private edge cloud system was proposed to address the requirements of these applications. The proposed heterogeneous private edge cloud system is characterized by a complex and dynamic multilayer network and computing infrastructure. Efficient management and utilization of this infrastructure may increase data rates and reduce data latency, data privacy risks, and traffic to the core Internet network. A novel intelligent middleware platform is proposed in the current study to manage and utilize heterogeneous private edge cloud infrastructure efficiently. The proposed platform aims to provide computing, data collection, and data storage services to support emerging resource-intensive and non-resource-intensive smart city and 5G network applications. It aims to leverage regression analysis and reinforcement learning methods to solve the problem of efficiently allocating heterogeneous resources to application tasks. This platform adopts parallel transmission techniques, dynamic interface allocation techniques, and machine learning-based algorithms in a dynamic multilayer network infrastructure to improve network and application performance. Moreover, it uses container and device virtualization technologies to address problems related to heterogeneous hardware and execution environments.

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Peng, Wenjie, Daizhong Su, and Shuyi Wang. "Development of an Innovative ICT Infrastructure for an Eco-Cost System with Life Cycle Assessment." Sustainability 13, no. 6 (2021): 3118. http://dx.doi.org/10.3390/su13063118.

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A novel Internet-based information communication technology (ICT) infrastructure for an eco-accounting system was successfully developed to deliver “EcoCosts”, which are the values of environmental impact throughout the product life cycle. The ICT infrastructure manages its internal elements and interacts with operation modules in the supply chain via Web-based service interfaces. The infrastructure consists of upperware, middleware, and resource layers. The upperware layer manipulates the middleware elements (cloud-based load balancing, life cycle assessment, Web-based services, and Radio Frequency Identification (RFID)-enabled mobile access), and manages the associated resources within the eco-accounting system. As novel features of the ICT infrastructure, load balancing is used to handle large numbers of data and to allocate the computing load across the eco-accounting network nodes, and life cycle assessment is conducted to analyse product footprints, which are the core of “EcoCost”, to facilitate consumers in comparing the environmental impacts between different products. A case study was conducted by transmitting product EcoCosts from businesses to consumers through the Internet, successfully verifying the system developed in this research. Because this research aims to pay more attention to the ICT aspects, the EcoCost is represented using a single value, hence simplifying the related calculation. This research provides a novel solution for dealing with the large numbers of data and computing loads required to manage EcoCost data throughout the product life cycle and to transmit EcoCosts from businesses to consumers.

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Bukhari, Muhammad Mazhar, Taher M. Ghazal, Sagheer Abbas, et al. "An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression." Computational Intelligence and Neuroscience 2022 (January 25, 2022): 1–25. http://dx.doi.org/10.1155/2022/3606068.

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Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical. Despite the use of 5G technology, delay-sensitive applications and cloud cannot go parallel due to exceeding threshold values of certain parameters like latency, bandwidth, response time, etc. Middleware proves to be a better solution to cope up with these issues while satisfying the high requirements task offloading standards. Fog computing is recommended middleware in this research article in view of the fact that it provides the services to the edge of the network; delay-sensitive applications can be entertained effectively. On the contrary, fog nodes contain a limited set of resources that may not process all tasks, especially of computation-intensive applications. Additionally, fog is not the replacement of the cloud, rather supplement to the cloud, both behave like counterparts and offer their services correspondingly to compliance the task needs but fog computing has relatively closer proximity to the devices comparatively cloud. The problem arises when a decision needs to take what is to be offloaded: data, computation, or application, and more specifically where to offload: either fog or cloud and how much to offload. Fog-cloud collaboration is stochastic in terms of task-related attributes like task size, duration, arrival rate, and required resources. Dynamic task offloading becomes crucial in order to utilize the resources at fog and cloud to improve QoS. Since this formation of task offloading policy is a bit complex in nature, this problem is addressed in the research article and proposes an intelligent task offloading model. Simulation results demonstrate the authenticity of the proposed logistic regression model acquiring 86% accuracy compared to other algorithms and confidence in the predictive task offloading policy by making sure process consistency and reliability.

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Tai, Yu-Ting, Chia-Hui Huang, and Shun-Chieh Chuang. "The construction of a mobile business application system for ERP." Kybernetes 45, no. 1 (2016): 141–57. http://dx.doi.org/10.1108/k-02-2015-0041.

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Purpose – In today’s complicated and competitive business environment, companies commonly use enterprise resource planning (ERP) systems to integrate management information and enhance efficiency. In recent years, due to the development of cloud computing and portable devices, a new mobility era is starting. The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. ERP companies have discovered this trend and want to provide more convenient services and develop more integrated functions for their ERP systems in which practitioners can operate and access company information through various mobile devices anywhere, anytime. However, mobile ERP is still in the development stage. On the whole there has been relatively little research into the framework and system implementation of mobile ERP until recently. The purpose of this paper is to propose a mobile ERP framework for the sales function in an ERP system. The authors also design a mobile type sales application based on an android-based mobile device. In addition, the authors provide sale practitioners and supervisors with a more convenient and rapider service interface in which they can quickly respond to customers’ needs. Design/methodology/approach – The authors develop a mobile ERP framework taking into account the requirements of sales and distribution modules. The proposed framework can directly access the ERP system and perform more efficiently than a web service-based framework since middleware services are not involved. Findings – For the purposes of demonstrating the efficiency of the proposed mobile ERP system, the authors examine three scenarios which are commonly used in world-wide integrated circuit (IC) design companies. In this kind of company, salespersons travel to various cities and collect sales information. The three various scenarios include: (A) sales order creation; (B) order status inquiry; (C) order modification. The results of simulation show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for salespersons visiting outside offices and traveling world-wide. Research limitations/implications – The authors investigate and propose a mobile ERP framework for a world-wide ERP system company, SAP, which is a research limitation in the paper, since SAP ERP system is not installed for all companies. In addition, from this investigation, two possible concerns might be useful in further research. The first involves other modules may be included in the proposed mobile ERP framework. The second is the need to integrate other useful analysis systems, such as business intelligence, for a more complete mobile ERP system. Practical implications – To demonstrate the efficiency of the proposed mobile ERP system, three various scenarios which are commonly used in world-wide IC design companies are considered. In addition, the comparisons of the typical procedures in terms of average processing time for existing ERP systems and the proposed mobile ERP system are provided. The simulation times finding show that the mobile ERP system indeed enhances the efficiency of processing operations in sales and distribution modules, particularly for the salespersons visiting outside offices and traveling world-wide. Social implications – The popularity of smartphones and tablet computers has changed the behavior of mobile-phone users and enhanced the rapid development of mobile commerce. Mobile ERP systems can provide more up-to-date information than typical ERP systems involving order-tracking, real-time stock quantity checking, and sales order creations since salespersons still can access or update their collected information wherever they are world-wide. The contributions of this paper have a great impact on behavior changes of mobile-phone users. It can enhance efficiency and quality of life for users. Originality/value – In the paper, the authors propose a mobile ERP framework for the sales function which can provide sale practitioners and supervisors a more convenient and rapider service interface in which they can quickly respond to customers’ needs. The proposed framework of mobile ERP perform more efficiently than typical ERP systems and a web service-based framework since middleware services are not involved.

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Edison, Loza-Aguirre. "Editorial of Number 1 Volume 10 of Latin-American Journal of Computing." Latin-American Journal of Computing 10, no. 1 (2023): 12–17. https://doi.org/10.5281/zenodo.7503719.

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A recognized statement states that change is the only constant in life. Societies, organizations, and people evolve, change, to adapt or anticipate the challenges of their environments. These changes in turn engender new changes, which causes these evolutions to accelerate. To the point at which, the advances that are taking place today have never been so massive or of such magnitude. It is within this framework that, starting with this issue, I have the pleasure of once again collaborating as co-editor of the Latin American Journal of Computing. I was fortunate to work, until three years ago, under the direction of Jenny Torres Olmedo, PhD., when she was editor-in-chief. And now I have the honor of supporting Denys Flores Arnas, PhD., and his team in this scientific dissemination challenge. The entire team of the journal has worked very hard to bring you this issue, and we have several initiatives that will be implemented in future issues and of which we will have news very soon. The articles selected for this issue gather interesting contributions from the different fields of computing. Thus, José Sillagana, Daniel Morocho-Lara, Génesis Dayana Pinto and Yennifer Bustos Gamboa present a mixed experimental study focused on the contribution of gamification in the learning of Mathematics in basic education. In their work, these authors report the contributions of the development of web 3.0 authoring resources for Canvas, Liveworksheet and Nearpood. Luis Pineda, Bayron S. Gutiérrez, Marcos Orellana Cordero and Jorge Luis Zambrano-Martínez present their results on the implementation of layered encryption methods through distributed systems using SOAP. Their work allows to increase the security of the data that is sent from an origin to its destination with a minimum consumption of computational resources in the system. In their article, Cristhian H. Bastidas Paz and Héctor F. Chinchero Villacís present an energy management system for intelligent buildings using distributed generation. For this, the authors use a control system based on a microcomputer, which defines a control algorithm based on different scenarios where the energy rules for each of the building services are determined. As a result, reductions of about 50% in energy consumption are reported. Carlos A. Aguirre and Carlos E. Anchundia report the results of the development of a middleware for the interconnection of a mobile application with a legacy system. To do this, the authors worked on a reengineering process for the legacy system, developed methods for data translation, applied security controls, and redesigned user interfaces to adapt them to a mobile environment. The work of Brian Jordano Cagua Gómez, Julia Edith Pilatasig Caizaguano and Roberto Rodrigo Aguiar Falconí focuses on contributing, through static nonlinear analysis, a method for the evaluation of steel frames. New functionalities of the system for seismic-structural analysis CEINCI LAB are presented. Sergio Jiménez and Andrés Merino present the application of machine learning models based on CRISP-DM to analyze the levels of depression in students at an Ecuadorian university. The authors conducted a study with 302 students consisting of the Beck Depression Inventory II. From their work, a model with 0.59 accuracy was obtained and it was verified that the variables of gender, age and interpersonal relationships are the most significant when determining the severity of depression. We hope these articles will be an interesting contribution for our readers. We invite all our audience to continue sending with their contributions. We keep the door open for any concerns and contacts with us and with the authors of the contributions presented in this issue.

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18

Bellavista, P., A. Corradi, and C. Stefanelli. "Mobile agent middleware for mobile computing." Computer 34, no. 3 (2001): 73–81. http://dx.doi.org/10.1109/2.910896.

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Carrega, A., M. Repetto, P. Gouvas, and A. Zafeiropoulos. "A Middleware for Mobile Edge Computing." IEEE Cloud Computing 4, no. 4 (2017): 26–37. http://dx.doi.org/10.1109/mcc.2017.3791021.

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Capra, Licia, Gordon S. Blair, Cecilia Mascolo, Wolfgang Emmerich, and Paul Grace. "Exploiting reflection in mobile computing middleware." ACM SIGMOBILE Mobile Computing and Communications Review 6, no. 4 (2002): 34–44. http://dx.doi.org/10.1145/643550.643553.

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Odun-Ayo, Isaac, Marion Adebiyi, Olatunji Okesola, and Olufunke Vincent. "Cloud middleware and services-a systematic mapping review." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2696–706. http://dx.doi.org/10.11591/eei.v10i5.3169.

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Cloud computing currently plays a crucial role in the delivery of vital information technology services. A unique aspect of cloud computing is the cloud middleware and other related entities that support applications and networks. A specific field of research may be considered, particularly as regards cloud middleware and services at all levels, and thus needs analysis and paper surveys to elucidate possible study limitations. The purpose of this paper is to perform a systematic mapping for studies that capture cloud computing middleware, stacks, tools and services. The methodology adopted for this study is a systematic mapping review. The results showed that more papers on the contribution facet were published with tool, model, method and process having 18.10%, 13.79%, 6.03% and 8.62% respectively. In addition, in terms of tool, evaluation and solution research had the largest number of articles with 14.17% and 26.77% respectively. A striking feature of the systemic map is the high number of articles in solution research with respect to all aspects of the features applied in the studies. This study showed clearly that there are gaps in cloud computing middleware and delivery services that would interest researchers and industry professionals desirous of research in this area.

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Fongen, Anders, Christian Larsen, Gheorghita Ghinea, Simon J. E. Taylor, and Tacha Serif. "Location Based Mobile Computing–A Tuplespace Perspective." Mobile Information Systems 2, no. 2-3 (2006): 135–49. http://dx.doi.org/10.1155/2006/847256.

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Location based or ”context aware” computing is becoming increasingly recognized as a vital part of a mobile computing environment. As a consequence, the need for location-management middleware is widely recognized and actively researched. Location-management is frequently offered to the application through a “location API” (e.g. JSR 179) where the mobile unit can find out its own location as coordinates or as “building, floor, room” values. It is then up to the application to map the coordinates into a set of localized variables, e.g. direction to the nearest bookshop or the local timezone. It is the opinion of the authors that a localization API should be more transparent and more integrated: The localized values should be handed to the application directly, and the API for doing so should be the same as the general storage mechanisms. Our proposed middleware for location and context management is built on top of Mobispace. Mobispace is a distributed tuplespace made for mobile units (J2me) where replication between local replicas takes place with a central server (over GPRS) or with other mobile units (using Bluetooth). Since a Bluetooth connection indicates physical proximity to another node, a set of stationary nodes may distribute locality information over Bluetooth connections, and this information may be retrieved through the ordinary tuplespace API. Besides the integration with the general framework for communication and coordination the middleware offers straightforward answers to questions like:Where is node X located? Which nodes are near me? What is the trace of node Y?

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Debnath, Hillol, Mohammad A. Khan, Nafize R. Paiker, et al. "The Moitree middleware for distributed mobile-cloud computing." Journal of Systems and Software 157 (November 2019): 110387. http://dx.doi.org/10.1016/j.jss.2019.07.089.

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Gupta, Ankur, Achir Kalra, Daniel Boston, and Cristian Borcea. "MobiSoC: a middleware for mobile social computing applications." Mobile Networks and Applications 14, no. 1 (2008): 35–52. http://dx.doi.org/10.1007/s11036-008-0114-9.

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Cardoso, Roberto Speicys, and Mauro Caporuscio. "Exploring Multi-Path Communication in Hybrid Mobile Ad Hoc Networks." International Journal of Ambient Computing and Intelligence 2, no. 4 (2010): 1–12. http://dx.doi.org/10.4018/jaci.2010100101.

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Ambient computing requires the integration of multiple mobile heterogeneous networks. Multi-path communication in such scenarios can provide reliability and privacy benefits. Even though the properties of multi-path routing have been extensively studied and a number of algorithms proposed, implementation of such techniques can be tricky, particularly when resource-constrained nodes are connected to each other through hybrid networks with different characteristics. In this paper, the authors discuss the challenges involved in implementing multipath communication on a middleware for hybrid mobile ad hoc networks. The authors present the PLASTIC middleware, several compelling applications of multi-path communication and the main issues concerning their implementation as a primitive middleware-provided communication.

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Zhou, Jiehan, Kumaripaba Athukorala, Ekaterina Gilman, Jukka Riekki, and Mika Ylianttila. "Cloud Architecture for Dynamic Service Composition." International Journal of Grid and High Performance Computing 4, no. 2 (2012): 17–31. http://dx.doi.org/10.4018/jghpc.2012040102.

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Service composition provides value-adding services through composing basic Web services, which may be provided by various organizations. Cloud computing presents an efficient managerial, on-demand, and scalable way to integrate computational resources (hardware, platform, and software). However, existing Cloud architecture lacks the layer of middleware to enable dynamic service composition. To enable and accelerate on-demand service composition, the authors explore the paradigm of dynamic service composition in the Cloud for Pervasive Service Computing environments and propose a Cloud-based Middleware for Dynamic Service Composition (CM4SC). In this approach, the authors introduce the CM4SC ‘Composition as a Service’ middleware layer into conventional Cloud architecture to allow automatic composition planning, service discovery and service composition. The authors implement the CM4SC middleware prototype utilizing Windows Azure Cloud platform. The prototype demonstrates the feasibility of CM4SC for accelerating dynamic service composition and that the CM4SC middleware-accelerated Cloud architecture offers a novel way for realizing dynamic service composition.

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Chan, A. T. S., and Siu-Nam Chuang. "MobiPADS: a reflective middleware for context-aware mobile computing." IEEE Transactions on Software Engineering 29, no. 12 (2003): 1072–85. http://dx.doi.org/10.1109/tse.2003.1265522.

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Park, Namje. "Implementation of terminal middleware platform for mobile RFID computing." International Journal of Ad Hoc and Ubiquitous Computing 8, no. 4 (2011): 205. http://dx.doi.org/10.1504/ijahuc.2011.043583.

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Shriram, R., Vijayan Sugumaran, and K. Vivekanandan. "A middleware for information processing in mobile computing platforms." International Journal of Mobile Communications 6, no. 5 (2008): 646. http://dx.doi.org/10.1504/ijmc.2008.019327.

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Tuan Anh, Dinh Tien, Milind Ganjoo, Stefano Braghin, and Anwitaman Datta. "Mosco: a privacy-aware middleware for mobile social computing." Journal of Systems and Software 92 (June 2014): 20–31. http://dx.doi.org/10.1016/j.jss.2013.11.1110.

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Le Vinh, Thinh, Samia Bouzefrane, Jean-Marc Farinone, Amir Attar, and Brian P. Kennedy. "Middleware to Integrate Mobile Devices, Sensors and Cloud Computing." Procedia Computer Science 52 (2015): 234–43. http://dx.doi.org/10.1016/j.procs.2015.05.061.

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Jia, Shi Zhun, Jun Lin, and Xiao Rong Feng. "Application and Design for Security Middleware in Mobile Internet." Advanced Materials Research 1049-1050 (October 2014): 1792–96. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1792.

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This paper proposes a structure model of security middleware suitable for mobile Internet, describes the functions of its main part and the running process of the whole middleware, and makes a detailed design of security services layer based on CORBA service and mobile agent technology. The new design aims at providing an effective solution to the security of mobile Internet.

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da Silva, Eduardo, and Luiz Carlos Pessoa Albini. "SEMAN: A Novel Secure Middleware for Mobile Ad Hoc Networks." Journal of Computer Networks and Communications 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/3136853.

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As a consequence of the particularities of Mobile Ad Hoc Networks (MANETs), such as dynamic topology and self-organization, the implementation of complex and flexible applications is a challenge. To enable the deployment of these applications, several middleware solutions were proposed. However, these solutions do not completely consider the security requirements of these networks. Based on the limitations of the existing solutions, this paper presents a new secure middleware, called Secure Middleware for Ad Hoc Networks (SEMAN), which provides a set of basic and secure services to MANETs aiming to facilitate the development of distributed, complex, and flexible applications. SEMAN considers the context of applications and organizes nodes into groups, also based on these contexts. The middleware includes three modules: service, processing, and security. Security module is the main part of the middleware. It has the following components: key management, trust management, and group management. All these components were developed and are described in this paper. They are supported by a cryptographic core and behave according to security rules and policies. The integration of these components provides security guarantees against attacks to the applications that usethe middleware services.

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El Khaddar, Mehdia Ajana, Mhammed Chraibi, Hamid Harroud, Mohammed Boulmalf, Mohammed Elkoutbi, and Abdelilah Maach. "A policy-based middleware for context-aware pervasive computing." International Journal of Pervasive Computing and Communications 11, no. 1 (2015): 43–68. http://dx.doi.org/10.1108/ijpcc-07-2014-0039.

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Purpose – This paper aims to demonstrate that a policy-based middleware solution which facilitates the development of context-aware applications and the integration of the heterogeneous devices should be provided for ubiquitous computing environments. Ubiquitous computing targets the provision of seamless services and applications by providing an environment that involves a variety of devices having different capabilities. These applications help transforming the physical spaces into computationally active and smart environments. The design of applications in these environments needs to consider the heterogeneous devices, applications preferences and rapidly changing contexts. The applications, therefore, need to be context-aware so that they can adapt to different situations in real-time. Design/methodology/approach – In this paper, we argue that a policy-based middleware solution that facilitates the development of context-aware applications and the integration of the heterogeneous devices should be provided for ubiquitous computing environments. The middleware allows applications to track items and acquire contextual information about them easily, reason about this information captured using different logics and then adapt to changing contexts. A key issue in these environments is to allow heterogeneous applications to express their business rules once, and get the preferred data once they are captured by the middleware without any intervention from the application side. Findings – Our middleware tackles this problem by using policies to define the different applications’ rules and preferences. These policies can specify rules about the middleware services to be used, type of data captured, devices used, user roles, context information and any other type of conditions. Originality/value – In this paper, we propose the design of a flexible and performant ubiquitous computing, and context-aware middleware called FlexRFID along with its evaluation results.

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Cha, Sangwhan, and Weichang Du. "Middleware Services for Network Disruption Tolerant Mobile Applications." International Journal of Networks and Communications 2, no. 6 (2012): 155–69. http://dx.doi.org/10.5923/j.ijnc.20120206.04.

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de Alfonso, Carlos, Miguel Caballer, José V. Carrión, and Vicente Hernández. "gCitizen: A Grid Middleware for a Transparent Management of the Information about Citizens in the Public Administration." Journal of Theoretical and Applied Electronic Commerce Research 2, no. 1 (2007): 18–32. http://dx.doi.org/10.3390/jtaer2010003.

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This paper proposes the Grid technology as an integration method of information, existing procedures and resources in the Public Administration. The exposed work supposes, from the point of view of the electronic government, an advance of future trends by means of the usage of Grid technology. On the other hand, from the perspective of Grid technology, the electronic government opens a non-evident field of application for this emergent paradigm of distributed computing. This paper explains gCitizen, which is a Grid middleware based on the GT4 components and WSRF implementation (which are the state-of-the-art in middleware for Grid computing), incorporating new protocols and services which cover the requirements for the integration purposes in the eGovernment frameworks. The system architecture has been designed to enable using the services deployed without a specific a priori knowledge of them. The gCitizen middleware also defines a data model to provide interoperability in the exchange of the information among the different gCitizen services.

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Junseok Hwang and P. Aravamudham. "Middleware services for P2P computing in wireless grid networks." IEEE Internet Computing 8, no. 4 (2004): 40–46. http://dx.doi.org/10.1109/mic.2004.19.

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Zhang, Chi Jun, Zheng Xuan Wang, and Yong Jian Yang. "Research on OpenLS-Based Mobile Location Service Platform." Advanced Materials Research 121-122 (June 2010): 722–27. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.722.

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Currently, LBS (Location-based Services) as a new emerging business which is based on mobile communication network is becoming more and more popular. However domestic industry is lack of perfect location service platform and standards because of the complexity and large scale of LBS. Aimed at the cases, the architecture of mobile location service (MLS) platform based on OpenLS (OpenGIS® Location Services) standards is constructed in the paper, and makes it accord with the international standard. Moreover GIS (Geographic Information System) middleware model is also proposed in the paper. We encapsulate the secondary location algorithm and path navigation algorithm into GIS middleware and present four standard interfaces, which could support distributed management and improves the portability of the platform.

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Song, Jae-gu, Sungmo Jung, Byeong Ho Kang, Dae-Joon Hwang, and Seoksoo Kim. "Design of context-aware middleware for mobile healthcare services." Journal of the Chinese Institute of Engineers 35, no. 5 (2012): 535–45. http://dx.doi.org/10.1080/02533839.2012.679063.

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Bellavista, Paolo, Antonio Corradi, and Cesare Stefanelli. "Middleware services for interoperability in open mobile agent systems." Microprocessors and Microsystems 25, no. 2 (2001): 75–83. http://dx.doi.org/10.1016/s0141-9331(01)00100-4.

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Kumar, Anil, Dr Parveen Gupta, Pankaj K. Verma, and Dr Vijay Lamba. "Concept of Middleware Services in Mobile Ad-hoc Networks." International Journal of Computer Applications 2, no. 8 (2010): 33–36. http://dx.doi.org/10.5120/684-963.

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Schwieren, Joachim, and Gottfried Vossen. "ID-Services: an RFID middleware architecture for mobile applications." Information Systems Frontiers 12, no. 5 (2009): 529–39. http://dx.doi.org/10.1007/s10796-009-9214-8.

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Bangui, Hind, Said Rakrak, Said Raghay, and Barbora Buhnova. "Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services." Applied Sciences 8, no. 11 (2018): 2220. http://dx.doi.org/10.3390/app8112220.

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Smart cities aim at integrating various IoT (Internet of Things) technologies by providing many opportunities for the development, governance, and management of user services. One of the ways to support this idea is to use cloud and edge computing techniques to reduce costs, manage resource consumption, enhance performance, and connect the IoT devices more effectively. However, the selection of services remains a significant research question since there are currently different strategies towards cloud computing, including services for central remote computing (traditional cloud model) as well as distributed local computing (edge computing). In this paper, we offer an integrated view of these two directions and the selection among the edge technologies based on MCDA (Multiple Criteria Decision Analysis) algorithms. To this end, we propose a foglet as a middleware that aims at achieving satisfactory levels of customer services by using fuzzy similarity and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to facilitate the rating and selection of services in the fog-to-cloud environment. Then, we describe the selection process with a numerical example, and conclude our work with an outline of future perspectives.

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Cheung, Ronnie, Gang Yao, Jiannong Cao, and Alvin Chan. "A fuzzy service adaptation engine for context‐aware mobile computing middleware." International Journal of Pervasive Computing and Communications 4, no. 2 (2008): 147–65. http://dx.doi.org/10.1108/17427370810890256.

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Abdelfattah, Amr S., Tamer Abdelkader, and EI-Sayed M. EI-Horbaty. "RAMWS: Reliable approach using middleware and WebSockets in mobile cloud computing." Ain Shams Engineering Journal 11, no. 4 (2020): 1083–92. http://dx.doi.org/10.1016/j.asej.2020.04.002.

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Abdennadher, Fatma, and Maher Ben Jemaa. "Mobility Management in Publish/Subscribe Middleware." International Journal of Adaptive, Resilient and Autonomic Systems 4, no. 1 (2013): 101–12. http://dx.doi.org/10.4018/jaras.2013010105.

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In this research work, a survey on Mobility issues in Publish/Subscribe (P/S) Middleware and their applications was carried out. Publish/subscribe is appearing as a communication paradigm matching well with highly dynamic distributed applications characterized by reconfigurability, flexibility, and scalability. Nevertheless, very few efforts tackle dynamic modifications in the topology of the P/S distributed dispatching infrastructure despite such events represent a basic confrontation in mobile computing scenarios. In this paper, the authors clarify the mobility’s issues in the context of publish-subscribe middleware and survey solutions and protocols suggested by several research groups.

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Lopes, João, Rodrigo Souza, Cláudio Geyer, et al. "A Middleware Architecture for Dynamic Adaptation in Ubiquitous Computing." JUCS - Journal of Universal Computer Science 20, no. (9) (2014): 1327–51. https://doi.org/10.3217/jucs-020-09-1327.

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The development of applications that adapt to the environment and remain running even when the user is moving or switching device, remains an open research challenge. In this article we present a view of the EXEHDA middleware and a new service created for dynamic adaptation. EXEHDA is service-oriented, adaptive and was conceived to support the execution of ubiquitous applications. The main concept in the proposed design for the middleware and for the application is context awareness expressed in an adaptive behavior. The middleware manages and implements the follow-me semantics for ubiquitous applications. This is also a key to provide functionality adapted to the constraints and unpredictability of the large-scale environment. To achieve this objective, EXEHDA employs various strategies in its services to allow the adaptation to the current context, such as on-demand adaptive service loading, and dynamic discovery and configuration. In that sense, EXEHDA provides services for distributed adaptive execution, context recognition, ubiquitous storage and access, and anonymous and asynchronous communications. To evaluate the new service proposed for dynamic adaptation we developed a case study, implementing an application in medical area. Analyzing the results we can see that the users found the application easy to use and usefulness for health workers at a hospital. This work is sponsored by RNP, FINEP and CNPq - Brazilian Foundations.

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Wang, Chuang, Yi Lv, Qiang Wang, Dongyu Yang, and Guanghui Zhou. "Service-Oriented Real-Time Smart Job Shop Symmetric CPS Based on Edge Computing." Symmetry 13, no. 10 (2021): 1839. http://dx.doi.org/10.3390/sym13101839.

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Symmetry is one of the most important notions in the digital twins-driven manufacturing cyber–physical system (CPS). Real-time acquisition of production data and rapid response to changes in the external environment are the keys to ensuring the symmetry of the CPS. In the service-oriented production process, in order to solve the problem of the service response delay of the production nodes in a smart job shop, a CPS based on mobile edge computing (MEC) middleware is proposed. First, the CPS and MEC for a service-oriented production process are analyzed. Secondly, based on MEC middleware, a CPS architecture model of a smart job shop is established. Then, the implementation of MEC middleware and application layer function modules are introduced in detail. By designing an MEC middleware model and embedding function modules such as data cache management, redundant data filtering, and data preprocessing, the ability of data processing is sunk from the data center to the data source. Based on that, the network performances, such as network bandwidth, packet loss rate, and delay, are improved. Finally, an experiment platform of the smart job shop is used to verify different data processing modes by comparing the network performance data such as bandwidth, packet loss rate, and response delay.

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Yoo, See Hwan, Jae Hyun Hwang, and Hyuck Yoo. "Mobile Computing: Technologies and Services." Journal of Korean Society of Medical Informatics 10, no. 1 (2004): 1. http://dx.doi.org/10.4258/jksmi.2004.10.1.1.

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Kolekar, Vikas K., Meet Oswal, Yash Wankhade, Gayatri Shirke, Archana Sondur, and Prajwal Wable. "Smart City IoT Data Management with Proactive Middleware." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (2023): 319–29. http://dx.doi.org/10.17762/ijritcc.v11i5s.6754.

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With the increased emergence of cloud-based services, users are frequently perplexed as to which cloud service to use and whether it will be beneficial to them. The user must compare various services, which can be a time-consuming task if the user is unsure of what they might need for their application. This paper proposes a middleware solution for storing Internet of Things (IoT) data produced by various sensors, such as traffic, air quality, temperature, and so on, on multiple cloud service providers depending on the type of data. Standard cloud computing technologies become insufficient to handle the data as the volume of data generated by smart city devices grows. The middleware was created after a comparative study of various existing middleware. The middleware uses the concept of the federal cloud for the purpose of storing data. The middleware solution described in this paper makes it easier to distribute and classify IoT data to various cloud environments based on its type. The middleware was evaluated using a series of tests, which revealed its ability to properly manage smart city data across multiple cloud environments. Overall, this research contributes to the development of middleware solutions that can improve the management of IoT data in settings such as smart cities.

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