Cross-Device Integration of Android Apps

Wolters, Dennis; Kirchhoff, Jonas; Gerth, Christian; Engels, Gregor

doi:10.1007/978-3-319-46295-0_11

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…Today, cloud/server-side synchronization allows such a migration but requires for each device to be individually connected to the server, as it is the case of Google suite (Docs, Meet, etc. ), Android and others [1], [2]. Also, some approaches such as LiquidJS [3], which is based on Liquid Software principals [4], allow to adapt services to device characteristics.…”

Section: Introductionmentioning

confidence: 99%

Semantic rule-based device recommendation for service-migration in multiple-device contexts

Nouicer

Messai

Sam

et al. 2021

2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

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Over the last few years, multiple-device ownership have continuously and rapidly increased, driven by the continuous progress of Internet of Things solutions deployment. At the same time, the way people use their multiple devices is also changing making it common and even necessary to switch from one device to another for the same task. This evolution raises several issues regarding the migration process and the choice of the device to migrate to. In this paper, we address the problem of recommending the most suitable devices for a successful migration. We propose a semantic and rule-based approach for device recommendation that takes into account the characteristics of devices, services, and migration contexts. We propose an OWL ontology defining the necessary concepts describing devices, services, users, etc. and the relationships between them. Based on this ontology, we propose a set of SWRL rules defining the common requirements for a successful service migration across devices. The ontology is populated in real-time using appropriate APIs to get devices and context characteristics. This allows the rule-based reasoning to be held over updated values and provides relevant recommendations. The approach is implemented as a recommendation system within a web application to demonstrate its effectiveness and scalability.

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Section: Introductionmentioning

confidence: 99%

Semantic rule-based device recommendation for service-migration in multiple-device contexts

Nouicer

Messai

Sam

et al. 2021

2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

View full text Add to dashboard Cite

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“…Some works as seen in [2], [3] and [4], had tried to address the multi-device service migration -but not multi-OS (e.g., Android and iOS), and all used Android as a platform.…”

Section: Introductionmentioning

confidence: 99%

Liquid Mail - A Client Mail Based on CUBE Model

Silva

Messai

Sam

et al. 2018

2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

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Nowadays we live with a large number of different connected devices with various operating systems. This is leading us to a lack of technological resources to deal with this multiple connected devices owned by the same user. Thus, a new way to create applications is required in order to enhance the userexperience without being a concern with the operating system of the device. In this work, we present a client mail, based on CUBE model principals, with allowing the user changing device while using a mail service without losing session/data or connection. Preliminary results demonstrate its feasibility moving from a windows system to Android keep mail service running.

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