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The recovery ability of a system is composed of intrinsic recovery ability and artificial recovery ability.
Usually, such a system is composed of various nodes (sensors) collaborating to monitor a targeted phenomenon.
When a system is composed of highly reliable elements, exact reliability quantification may be problematic, because computer accuracy is limited.
In our context, the quality of service of a system is composed of a constraints set (delays, response time, data rate, etc).
This approach is based on the idea that a system is composed of decentralized individual agents and that each agent interacts with other agents and the environment according to localized knowledge and rules.
Because the recovery ability of a system is composed of intrinsic recovery ability, which is relatively stable, and artificial recovery ability, which increases with the intensity of adverse impact, the recovery coefficient takes a similar form.
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A switched system is composed of a family of subsystems and a switching signal that specifies which subsystem is activated to the system trajectories at each instant of time [1].
A BitTorrent system is composed of a set of users that participate in torrents over time.
A graph model of a biological system is composed of N nodes and M links connecting them, where nodes and links can represent proteins and protein interactions, for example.
Like Cloud systems, a Fog system is composed of Infrastructure, Platform, and Software-as-a-Service (IaaS, PaaS, and SaaS, respectively), along with the addition of Data services [12, 13].
A cellular system is composed of numerous cells covering a large area.
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