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Mobile devices are ubiquitous but their resources are limited. However, they must be capable to run computationally intensive software, for example for image stitching, face recognition, and simulation-based artificial intelligence. As a solution, mobile devices can use nearby resources to offload computation. Distributed computing environments provide such features but ignore the nature of mobile...
Mobile cloud computing (MCC) is the most promising cloud solution for the future mobile environment. It aims to integrate mobile devices with cloud computing, and provide to mobile users an online access to unlimited cloud resources. Furthermore, MCC has changed the concept of mobile devices from primitive gadget to full computers that accommodate work, personal and mobility needs. Thus, in this paper...
Existing research on implementing the mobile cloud computing paradigm is typically based on offloading demanding computation from mobile devices to cloud-based servers. A continuous, high quality connection to the cloud infrastructure is normally required, with frequent high-volume data transfer, which can have a detrimental impact on the user experience of the application or service. In this paper,...
In the participatory sensing model, humans may serve as opportunistic sensors and flexible actuators while also consuming sensing services. Integrating humans into sensing systems has the potential to increase scale and reduce costs. However, contemporary participatory sensing software provides poor consideration of user dynamism, which includes: mobility across networks, mobility across devices and...
The ubiquitous nature of mobile devices offering high computing capabilities has attracted a large number of users. The sensors available on these devices provide valuable data about user contexts, which when combined with sensor data from other mobile devices can reveal interesting environmental contexts, which can then be used for applications like real-time traffic monitoring, noise mapping, crowdmapping,...
Recent advances in distributed resource-constrained systems have seen the rapid growth of interest for middleware exploitation especially in mobile cloud computing. The rapid advancement of mobile cloud computing has shown that there is a high demand for mobile cloud applications. Moreover, mobile cloud computing aims to ensure that mobile devices make the best use of cloud computing resources in...
This paper discusses the notion of self-organising and context-aware data flows, i.e. spatially-situated services made of flows of data propagating across mobile nodes, sensitive to their context and responding to it following self-organising principles. This paves the way for a new category of spatially-situated pervasive services based on data propagation among mobile devices.
Internet of Things (IoT) will comprise billions of devices that can sense, communicate, compute and potentially actuate. The data generated by the Internet of Things are valuable and have the potential to drive innovative and novel applications. The data streams coming from these devices will challenge the traditional approaches to data management and contribute to the emerging paradigm of big data...
Mobile Cloud Computing (MCC) is a model for transparent elastic augmentation of mobile device capabilities via ubiquitous wireless access to cloud storage and computing resources. The main purpose of MCC is to exploit the context- aware dynamic offload of demanding mobile applications to the Cloud, in order to improve their performance while saving energy and extending battery lifetime of devices...
Context-aware mobile systems have gained a remarkable popularity in recent years. Mobile devices are equipped with a variety of sensors and become computationally powerful, which allows for real-time fusion and processing of data gathered by them. However, most of existing frameworks for context-aware systems, are usually dedicated to static, centralized architectures, and those that were designed...
With the development of wireless networks and mobile computing, more advanced applications with context-awareness and adaptability to their changing contexts are needed. In this paper, a context-aware middleware for user experience improvement in mobile payment has been developed. Using NFC(Near Field Communication) and fast face recognition system on mobile phone which is developed based on improved...
Context-aware service provisioning for mobile phones is challenging because of diverse user contexts and mobile applications. The context recognition process generally reduces the device performance due to the competitive use of limited resources in the mobile phone. While extensive attempts have been made to provide appropriate services based on user context, previous work is limited to supporting...
The modern mobile ubiquitous computing environment, with reasonable connectivity, processing power and sensing capabilities on portable devices, present applications and services with the opportunity to be truly context-aware. But building context-aware applications has large development overheads due to complexities of sensing, aggregating and inferencing context information. To reduce the developers'...
Mobile devices like laptops or smart phones are getting more and more powerful, but still these devices are mainly used to access services, which are provided by centralized servers in the Internet. We argue that the full potential of such mobile devices could be unfold if these devices would provide services like instant messaging or file transfer themselves in a peer-to-peer manner. In this paper,...
Today's computationally able mobile devices are capable of acting as service providers as opposed to their traditional role as consumers. To address the challenges associated with the development of these mobile services, we have developed Odin, a middleware which masks complexity, allowing rapid development of mobile services. Odin, however, does not allow cross-platform development, which is an...
Recently, mobile devices have become increasingly widespread. Through these mobile devices have appeared new requirements and opportunities. Technological developments within mobile devices led to the discovery of new ways to develop and implement applications that support communication between these devices. These applications often operate in context-sensitive environments and must work with temporal,...
To provide effective mobile services in spite of network disruption, context aware middleware services on mobile devices and application servers can provide services for continuation of applications, by managing mobile services, network connection, limited resources, and context information. In this paper, we propose context aware middleware services for disconnection tolerant mobile application services...
In this paper, we present a new mobile platform to support emerging pervasive applications in a Personal Area Network (PAN)-scale dynamic mobile computing environment. The PAN-scale computing environment will constitute an important part of future pervasive-space technology with highly proactive applications, requiring continuous monitoring of users' contexts. The context-aware applications impose...
Mobile devices like PDAs or mobile phones have become widespread. Similarly network functionality like GSM, Bluetooth or WLAN has become a standard. Nevertheless, not many applications take mobility into account. An application and its communication component are tightly coupled and the applications assume that network behavior does not change. Here in this project we propose and implement a new component...
We present a visualization framework integrated in a context-aware system that uses a common underlying stream processing middleware for tight integration of data accessing, processing, and visualization. Context-aware systems are often realized on mobile devices that do not have the computational power to perform complex tasks. Therefore, a dedicated hardware infrastructure might be required for...
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