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. 1. Introduction Future resource-based economy will dramatically shape current daily processes in many parts of human activities. The consumer society will face the effective artificial self-responsible subsystems with behaviour where cost-effectiveness and nature-related responsibility would be on first place. Global acquirements of devices power used for developing smart environments, that could dramatically increase human productivity as a side effect, would be recognized as a middle step of oncoming technology evolution. We acknowledged that nowadays the current market with mobile devices is more and more fragmented cross-vendors or platforms where different users approach could be confusing. As an alternative we would present future vision of Remote Device Management (RDM) which could positively shape human productivity and could be simply used for actual and future user centric multidevice environment as a convenient interface. Our Remote Device Management is designed as a productivity concept for users who prefer centralized management point and confident approach to multiplatform types of devices in comprehensive way. The future user content management challenges will have to take into account multidevice environment where different User Interfaces (UI) and platform are and device-specific features [1]. 1.1. Multidevice Environment As a device, we define all the devices which are able to connect to network, that is, to the internet resources using an online or offline mode. The multidevice environment from single person point of view naturally underlines future realistic scenario where user
References
[1]
P. Mikulecky, “Remarks on ubiquitous intelligent supportive spaces,” in Proceedings of the 15th American Conference on Applied Mathematics/International Conference on Computational and Information Science,, pp. 523–528, University of Houston, Houston, Tex, USA, 2009.
[2]
A. Loukas, D. Damopoulos, S. A. Menesidou, M. E. Skarkala, G. Kambourakis, and S. Gritzalis, “MILC: a secure and privacy-preserving mobile instant locator with chatting,” Information Systems Frontiers, vol. 14, no. 3, pp. 481–497, 2012.
[3]
S. P. Hall and E. Anderson, “Operating systems for mobile computing,” Journal of Computing Sciences in Colleges, vol. 25, no. 2, pp. 64–71, 2009.
[4]
Apple Developer Site, iOS, http://developer.apple.com/library/ios/#documentation/Miscellaneous/Conceptual/iPhoneOSTechOverview/IPhoneOSOverview/IPhoneOSOverview.html.
[5]
M. L. Murphy, Android Programming Tutorials, CommonsWare, 2009.
[6]
T. Yamakami, “Foundation-based mobile platform software engineering: implications to convergence to open source software,” in Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human (ICIS'09), pp. 206–211, November 2009.
[7]
D. Vybiral, M. Augustynek, and M. Penhaker, “Devices for position detection,” Journal of Vibroengineering, vol. 13, no. 3, pp. 531–535, 2011.
[8]
J. P. Espada, R. G. Crespo, O. S. Martínez, B. Cristina Pelayo G-Bustelo, and J. M. C. Lovelle, “Extensible architecture for context-aware mobile web applications,” Expert Systems with Applications, vol. 39, no. 10, pp. 9686–9694, 2012.
[9]
N. Radia, Y. Zhang, M. Tatipamula, and V. K. Madisetti, “Next-generation applications on cellular networks: trends, challenges, and solutions,” Proceedings of the IEEE, vol. 100, no. 4, pp. 841–854.
[10]
P. Brida, J. Machaj, J. Benikovsky, and J. Duha, “An experimental evaluation of AGA algorithm for RSS positioning in GSM networks,” Elektronika ir Elektrotechnika, no. 8, pp. 113–118, 2010.
[11]
N. Chilamkurti, S. Zeadally, A. Jamalipour, and S. K. Das, “Enabling wireless technologies for green pervasive computing,” Eurasip Journal on Wireless Communications and Networking, vol. 2009, Article ID 230912, 2 pages, 2009.
[12]
N. Chilamkurti, S. Zeadally, and F. Mentiplay, “Green networking for major components of information communication technology systems,” Eurasip Journal on Wireless Communications and Networking, vol. 2009, Article ID 656785, 7 pages, 2009.
[13]
R. Brad, “Satellite image enhancement by controlled statistical differentiation,” in Innovations and Advances Techniques in Systems, Computing Sciences and Software Engineering, Proceedings of the International Conference on Systems, Computing Science and Software Engineering, ELECTR NETWORK, pp. 32–36, 2007.
[14]
O. Krejcar, J. Jirka, and D. Janckulik, “Use of mobile phones as intelligent sensors for sound input analysis and sleep state detection,” Sensors, vol. 11, no. 6, pp. 6037–6055, 2011.
[15]
G. G. Blazquez, A. Berlanga, and J. M. Molina, “InContexto: multisensor architecture to obtain people context from smartphones,” International Journal of Distributed Sensor Networks, vol. 2012, Article ID 758789, 15 pages, 2012.
[16]
S. Conder and L. Darcey, Android Wireless Application Development, Addison-Wesley, 2009.
[17]
V. Kasik, M. Penhaker, V. Novák, R. Bridzik, and J. Krawiec, “User interactive biomedical data web services application,” Communications in Computer and Information Science, vol. 171, pp. 223–237, 2011.
