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 State Transfer Management in Adaptive Software: An Approach from Design to Runtime
Tác giả hoặc Nhóm tác giả: Huynh Ngoc Tho
Nơi đăng: The 2019 IEEE-RIVF International Conference on Computing and Communication Technologies; Số: 2019;Từ->đến trang: 181-186;Năm: 2019
Lĩnh vực: Công nghệ thông tin; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Dynamic adaptation of software is the change in
the structure or behavior of the software at runtime without
stopping whole system. In component-based adaptive software,
an adaptation process includes actions such as stopping and
removing components, adding and starting component, etc. A
challenge when realizing the adaptation process is to ensure the
system consistency. One of the system consistency aspects, the
state of the system must be guaranteed. The maintenance of
state is a challenge when reconfiguring the system, specially the
inhomogeneity of system versions before and after adaptation.
To cope with this challenge, some approaches use state transfer
functions which are manually implemented to realize the state
transfer. However, they are ad-hoc approaches. They do not offer
a general solution to transfer state in the adaptive system which
can be applied from design time to runtime in the development
process. Therefore, we propose an approach based on a state
transfer model that is specified at design time and used at runtime
during adaptation process for transferring state.

ABSTRACT
Dynamic adaptation of software is the change in
the structure or behavior of the software at runtime without
stopping whole system. In component-based adaptive software,
an adaptation process includes actions such as stopping and
removing components, adding and starting component, etc. A
challenge when realizing the adaptation process is to ensure the
system consistency. One of the system consistency aspects, the
state of the system must be guaranteed. The maintenance of
state is a challenge when reconfiguring the system, specially the
inhomogeneity of system versions before and after adaptation.
To cope with this challenge, some approaches use state transfer
functions which are manually implemented to realize the state
transfer. However, they are ad-hoc approaches. They do not offer
a general solution to transfer state in the adaptive system which
can be applied from design time to runtime in the development
process. Therefore, we propose an approach based on a state
transfer model that is specified at design time and used at runtime
during adaptation process for transferring state.

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