Abstract
Recently, due to the low cost of electronic devices and the spread of networks, researches on self-adaptive systems has become a boom by utilizing advanced Internet of Things (IoT) technology. However, many researches designed and built their systems on the basis of specific targets or specific applications using a fixed architecture. With the operation of such systems, various usage situations always change. This paper proposes a novel approach to dynamically changing the system architectures when its environments are changed. The key idea behind the proposed approach is to introduce a relocation of software components between various sensors as a basic mechanism for geographically inter-cloud systems. It is constructed as a middleware system, based on Docker for Java-based general-purposed self-adaptive sensor applications. This paper describes the design of our approach with several scenarios, e.g., dynamically adaptive the vehicle tracking system architecture among Peer-to-Peer, Client/Server and Ad-Hoc.
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Notes
- 1.
In our research, we use the Docker [13] for implement our system.
- 2.
Developers only need to configure the Docker file according to their own requirements.
- 3.
In our implementation, we adopted deep clone, not shallow clone.
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Sun, J., Aida, K., Tanjo, T. (2018). Architecture-Independent Cloud Computation for Sensor Environment and Its Applications. In: Fortino, G., Ali, A., Pathan, M., Guerrieri, A., Di Fatta, G. (eds) Internet and Distributed Computing Systems. IDCS 2017. Lecture Notes in Computer Science(), vol 10794. Springer, Cham. https://doi.org/10.1007/978-3-319-97795-9_3
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