Device-Independent Architecture for ubiquitous applications

Abstract

The part of the Internet of Things composed of devices that directly interact with users has grown considerably in the past years. With new smartphones, tablets and other Internet-enabled devices that appear on the market, this trend is still increasing. However, existing application development processes and tools, designed for single device applications, do not allow developers to fully and efficiently address this opportunity. Applications are developed for a particular type of devices or a particular programming platform. This limits the number of potential users and makes it difficult to seamlessly use an application on multiple devices owned by users. To take full advantage of the Internet of Things, applications should be able to run on any device-they should be ubiquitous. In this paper, we present a concept of Device-Independent Architecture, which provides separation of applications from devices and facilitates development of device-independent applications. Additionally, the separation introduced by the DeviceIndependent Architecture enables implementation of multidevice scenarios where a single application employs multiple devices at the same time. The experiment described in the paper proves that such device-independent applications indeed may be used on any suitable device-they have a chance to become ubiquitous.

Closing the Gap: Human Factors in Cross-Device Media Synchronization

“…Similar use cases have also been explored recently where mobile device clouds are constructed to offer advanced sound features such as multi-channel surround sound [17], directional sound [5] and noise cancellation [11]. More such examples are also seen in the field of Internet of Things (IoT) [7]. The main challenge of ensuring the quality of user experience in immersive and interactive multi-device applications is the real-time measurement, QoE evaluation, and control of the synchronicity between media objects in an ensemble of user devices over heterogeneous networks.…”

QoE-aware inter-stream synchronization in open N-Screens cloud

“…Similar use cases have also been explored recently where mobile device clouds are constructed to offer advanced sound features such as multi-channel surround sound [12] and directional sound [3]. More such examples are also seen in the field of Internet of Things (IoT) [5]. The main challenge of ensuring the quality of user experience in immersive and interactive N-Screen applications is the real-time measurement, QoE evaluation, and control of the synchronicity between media objects in an ensemble of user devices over heterogeneous networks.…”

“…Both audio sources have nearly identical distance to the test participants, therefore any latency caused by the speed of sound is negligible. Scores given by each user are re-scaled to range [1,5]. Figures 3(a), 3(b) and 3(c) show the mean opinion score (MOS) for each clip.…”

Run-time UI Adaptation in the Context of the Device-Independent Architecture

“…The main difference here is the increased size of data that has to be transferred. More data to transfer could mean longer response times, but our previous research [16] showed that in analyzed scenarios DIA-based systems can still maintain proper response times to UI interactions initiated by a user, despite the increased size of transferred data.…”