Advanced mobile multimedia applications: using MPEG-21 and time-dependent metadata.

As the number of devices in a pervasive environment is increased, the number of components available on the network also grows rapidly. In such cases, it is possible to compose various applications through a combination of different sets of components. Considering the multifaceted problem of having varying device capabilities supporting a different set of protocols, and each device hosting a number of components providing the same functionality, it becomes very difficult to choose a particular device hosting a required component which can be the best-fit for the user. This becomes practically impossible when the required components are distributed across various devices in the networked environment. We propose a solution for dynamic user task composition considering user preferences, device capabilities, and heterogeneity of communication protocols. With our proposed approach, a user task can be instantiated in different environments using a different set of devices and components, depending upon their capabilities and user preferences. We propose mechanisms for modeling device capabilities and user preferences and for modeling the user task as a graph. We then propose algorithms for selection of devices based on user preferences and task requirements. Since the underlying network is also modeled as a graph, we describe an algorithm for mapping of services in the user task on to the components distributed across devices in the pervasive environment. We also give an overview of our initial implementation and some results of our evaluations.

Sharing files is very common in collaborative environment. Users may want to share each other's file for more effective and meaningful collaboration. Sometimes it would be preferable to adapt the file so that it can provide the required information to users with minimal overhead. Moreover, users may not want to share files in their original format. Due to device heterogeneity file sharing in original format is less meaningful. Therefore, data adaptation is needed to have the effective file sharing among users. In this paper, we propose a framework for file sharing and adaptation to have effective collaboration among users in advanced collaborating environment. This will certainly enhance the degree of collaboration. Moreover, we propose a hybrid approach for adapting data which considers user preferences and device capabilities at the time of data adaptation. The goal of this adaptation approach is to provide the best possible adaptation strategy based on user preference and device capabilities. Moreover, we discuss about our first prototype implementation here. At it's current stage, our prototype only deals with image files. Our prototype implementation realizes our designed framework and demonstrates the viability of our approach.

An energy-saving joint resource allocation strategy for mobile edge computing

The major preoccupation regarding the actual research is to visualize a theoretical model of the natural forces interaction between a multimedia mobile application deployed upon an educational activity over a group of students and an automatic process of evaluation regarding the final academic results. We implemented a new metric indicator, named here with effectiveness of a multimedia mobile application, correlated with the educational resultant force emerged from a mobile environment learning experiment. The variables involved in our model are connected to the cross-disciplinary curricula, the educational time coverage disclosed by a multimedia mobile application, the multimedia concentration, and the academic performance measured just in time at the interface between formal and informal evaluation. We are proposing another educational force couple, a resultant force, which is represented by the quality attributes allocated to the mobile devices and, furthermore, to the multimedia mobile applications. We are using the assumption that a multimedia mobile application generates an educational field in front of a learner taking into consideration not only the easiness of the process by which the learner’s attention is retaining toward a mobile device. The fact that between a mobile user and a multimedia mobile application could be established a quantitative relation of physical attraction or rejection, disclosed by surveys and questionnaires including qualities attributes, was an argument for our hypothesis that educational forces encountered could be explained by a cloaking educational field where a touch screen electric impulse is only the beginning of the educational magnetism encountered at the learners.KeywordsMobile applicationsMobile learningAndroidImpact on academic performance

A major challenge in a collaborative environment is to device an efficient file sharing and adaptation mechanism. Through this, the users at different nodes can achieve the highest degree of collaboration. Some authors have already proposed file sharing and adaptation framework. As per their proposed framework, users are allowed to share adapted files among them, invoking their file sharing and adaptation service built on the top of advanced collaborating environment (ACE). For file adaptation, a hybrid approach has been mentioned for adapting files which considers users preferences as well as user's device capabilities. The goal of this adaptation approach is to provide the best possible adaptation scheme and convert the file according to the user's preferences and device capabilities. In this paper, we propose some new features for file sharing and adaptation framework to have faster and more efficient and meaningful collaboration among users in advanced collaborating environment. We are proposing a Key based registration system as well as an algorithm for Key generation to automate the registration process for slave ACE nodes. We also propose an automated mechanism to distinguish trusted (registered) Slave ACE nodes, which are privileged for p2p file sharing under certain conditions. This approach will completely eliminate the manual intervention in the purposive node selection process. Moreover there would be a network traffic monitoring process which will radically reduce the network overhead to the master ACE node and introduce faster network collaboration in a distributive manner. Consequently, the approach leads towards better collaboration among the users of ACE.

Mobile edge clouds (MEC) is a novel paradigm to augment computation capabilities of mobile devices for resource-scarce applications. This paper first investigates the computation offloading decision making problem among mobile users and leverages the variability in types of tasks, capabilities of mobile devices and user preferences. As it is NP-hard to compute an optimal solution, this paper transforms the problem into a system utility maximization problem. This paper formulates the system utility maximization problem as a resource allocation offloading mechanism (RAOM) for achieving efficient computation offloading. This paper then designs a resource allocation offloading algorithm that can maximize system utility within the constraints of system bandwidth and maximum instructions per second allowed in edge clouds and quantifies its efficiency ratio over the optimal solutions in terms of two vital performance metrics. This paper further extends the study to the scenario of multi-user computation offloading in the wireless interference model. Numerical results demonstrate that the extension is worthwhile and the proposed mechanism RAOM achieves efficient computation offloading performance either with interference or without interference.

Due to the limited computational capability of mobile devices, the research organization and academia are working on computationally secure schemes that have capability for offloading the computational intensive data access operations on the cloud/trusted entity for execution. Most of the existing security schemes, such as proxy re-encryption, manager-based re-encryption, and cloud-based re-encryption, are based on El-Gamal cryptosystem for offloading the computational intensive data access operation on the cloud/trusted entity. However, the resource hungry pairing-based cryptographic operations, such as encryption and decryption, are executed using the limited computational power of mobile device. Similarly, if the data owner wants to modify the encrypted file uploaded on the cloud storage, after modification the data owner must encrypt and upload the entire file on the cloud storage without considering the altered portion(s) of the file. In this paper, we have proposed an incremental version of proxy re-encryption scheme for improving the file modification operation and compared with the original version of the proxy re-encryption scheme on the basis of turnaround time, energy consumption, CPU utilization, and memory consumption while executing the security operations on mobile device. The incremental version of proxy re-encryption scheme shows significant improvement in results while performing file modification operations using limited processing capability of mobile devices.

Modern mobile communication devices which are often used as remote access to information systems bring up many advantages for user. Unfortunately in some cases when user has several different mobile devices for the same remote access, a problem of multiplatform and multivendor environment fragments productivity by user knowledge in principals of approach to possible services, controlling or management of devices as well as features is available. The customizable interface of remote device management benefits by the control of all owned, authorized, or publically accessible devices from single point of user perspective. We propose a concept of such information system which takes into account mobile devices and their content. Concept is suitable not only for Apple iOS or Google Android, but also it covers all mobile platforms as well as the sensors capabilities of mobile devices which can turn such mobile Smart Device to Smart and mobile sensor concentrator.

In this paper, we propose an efficient multi-view system that transmits two view sequences for stereoscopic display and audio according to user's request. The process for users' preferences is integrated into MPEG-21 DIA. Multiview adaptation descriptors defined in DIA is used to deliver users' preferences and device capabilities. Furthermore, we newly introduce multi-view descriptions that are represented in XML (extensible markup language) schema. Our proposed system also provides view-dependent audio according to user preferences. When a user changes a view from the center of the multi-view video to either the left or the right, audio signals are rendered to have directional information of viewer's movement prior to being played out. Integrating audio with multi-view delivers more realistic perceptions.

There has been an explosion of smart mobile devices over the last few years. These smart devices, such as smartphones and tablets, have changed many aspects of modern life. They have also enabled whole new industries to grow up that develop and manufacture of the smart devices. These companion products, however, are mostly built around the smart devices, instead of being tightly integrated into them, and fail to utilize the full capabilities of the smart devices. The main cause for their failure is that the software platforms these smart devices are built on are not open. This hinders efforts by device manufacturers or software developers to create innovative new products or product categories based on those software platforms.In this talk, we present Tizen (www.tizen.org), which is a fully open software platform for embedded systems. Tizen allows for everyone involved in building and using devices built on it to freely define, invent, add new features or business models, or create new device categories. Tizen offers an industry leading HTML5-based application APIs, the preferred development environment for apps and services for the future. The HTML5-based APIs make it easy for developers to create applications that run across various categories of devices such as mobile, in-vehicle infotainment (IVI), Digital TV, netbooks, health and medical devices, etc. In this talk we also present Tizen's optimization technologies that enable HTML5-based applications to enjoy performance comparable to that of native applications. We also describe how Tizen balances the trade-offs between performance and power consumption, which is of extreme importance for mobile devices.

Wireless communication network is evolving towards more heterogeneous with rapid emergence of new radio technologies. 60GHz radio relying on line-of-sight (LOS) transmission is one of the promising solutions to support in-door high quality multimedia applications. Due to the vulnerable nature of LOS links, vertical handover, by switching the mobile device to the backup WLAN system from 60GHz radio, is critical to support a seamless session. However vertical handover for short LOS blocking events degrade perceived quality of the media due to frequent switching. In this paper, we propose a cognitive approach to solve incertitude during vertical handover. We first present an overview of our proposed cognitive network architecture, and further under this framework we introduce and examine via simulations a decision algorithm based on decision theory. Our algorithm takes into account multiple factors such as user preference, network situation, device capability and effect of environment. We show its ability to effectively make handover decision in uncertain situations. The method and results herein are applicable, in general, to any other situation where such a decision is to be made.

This paper addresses mobile service provisioning in a mobile supported sensor network. The challenges of secure service provisioning in such a network is tackled through a two-layer approach, using the encryption on the radio layer and policies for device capabilities and service access. This paper suggests the mobile phone acting as control centre for the sensors. The implementation is based on a distributed semantic service repository, allowing the mobile services to become part of a semantic service composition. The semantic policy server connects the device capabilities, the user preferences and the service functionality. The papers provides the functional architecture and implementations of key elements of this architecture.

Today most used devices are connected with each other building the Internet of Things (IoT). A variety of protocols are used depending on the underlying network infrastructure, application (e.g., Smart City, eHealth), and device capability. The judgment of the security feeling of the data sharing depends on personal settings (e.g., easy to use, encrypted transmission, anonymization support). MoDeNA – a Mobile Device Network Assistant – was developed offering an opportunity for understanding the judgment of security by bringing the user’s concerns and their technology understanding of used devices and protocols into relation. MoDeNA provides a transparent overview over the used wireless security of the user’s device giving concrete advices for improving the connection security and usability of mobile device security.

Recently, the computational speed and battery capability of mobile devices were greatly promoted. With an enormous number of APPs, users can do many things in mobile devices as well as in computers. Consequently, more and more scientific researchers are encouraged to move their working environment from computers to mobile devices for increasing their work efficiency because they can analyze data and make decisions on their mobile devices anytime and anywhere. Accordingly, we propose a mobile OpenMP programming environment called MOMP in this paper. Using this APP, users can directly write, compile, and execute OpenMP programs on their Android-based mobile devices to exploit embedded CPU and GPU for resolving their problems without network connection. Because of source compatibility, MOMP makes users easily port their OpenMP programs from computers to mobile devices without any modification. Moreover, MOMP provides users with an easy interface to choose CPU or GPU for executing different parallel regions in the same program based on the properties of parallel regions. Therefore, MOMP can effectively reduce the programming complexity of heterogeneous computing in mobile devices and exploit the computational power of mobile devices for the performance of user applications.

Because of their severe resource-restrictions and limited user interfaces, smart everyday objects must often rely on remote resources to realize their services. This paper shows how smart objects can obtain access to such resources by spontaneously exploiting the capabilities of nearby mobile user devices. In our concept, handhelds join a distributed data structure shared by cooperating smart objects, which makes the location where data are stored transparent for applications. Smart objects then outsource computations to handhelds and thereby gain access to their resources. As a result, this allows smart items to transfer a graphical user interface to a nearby handheld, and facilitates the collaborative processing of sensory data because of the more elaborate storage and processing capabilities of mobile user devices. We present a concrete implementation of our concepts on an embedded sensor node platform, the BTnodes, and illustrate the applicability of our approach with two example applications.KeywordsSensor NodeMobile AgentJava CodeExecution StateSmart ObjectThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.