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The world is moving towards a new generation of internet, the internet of things (IoT). This technological jump is improving the way we live by creating a bridge between the physical and the virtual world. Researchers are curious about the field from different perspectives especially managing of the complexity and dynamicity of these systems. The main problem being targeted in this chapter is that IoT systems are exposed to many structural and behavioral changes due to internal and external factors. This study is about the necessity of having a mechanism that enables IoT systems to perform without breaks or shutdowns regardless of context changes. The solution consists of a contextual dynamic reconfiguration process implemented by a reflexive multilayered architecture. This process is based on the autonomic computing loop. The authors also integrated evolution styles to make reusable the reconfigurations applied on the architecture of the system. Validation of the proposed approach was made on an e-health scenario, which was simulated using Cisco Packet Tracer before performing real development.

Purpose:The general purpose of this research was to examine the impact of banking regulation on risk sharing and welfare in an Overlapping Generations model economy. Design/Methodology/Approach: The study uses a stochastic Overlapping Generation model with banking, limited liability, and deposit insurance, examining how the banking regulation affects welfare with the introduction of the principle of risk sharing in the economy. Findings: The results indicated support on previous studies and demonstrated that, using data from Turkey, banking regulation may lead to a welfare loss, a positive effect of optimal regulation on social welfare. Practical implications:The main results show that the trade-off between risk sharing, and financial stabilization depends on the level of capital requirements, and the risk sharing behavior of the economy. The risk sharing model for both specifications (risky and safe) confirm that the introduction of behavior of risk sharing on the economy has a positive impact on the welfare. Originality/value: This model allows us to evaluate quantitatively the key trade-off of risk sharing banking regulation and social welfare.

Using the onset of the COVID 19 pandemic, this chapter examines the cryptocurrencies as safe haven investment for stocks of our time varying realization as to the economic chock centralized by the growing pandemic. Using daily data of COVID 19 measures and daily prices for 4 cryptocurrencies and 4 stocks assets for the whole year 2020, we apply both the VAR-DCC-GARCH and Wavelet Coherency models. New evidence of our chapter find that the Bitcoin and Etherum are highly correlated in the short and long horizon with the selected stocks. However for the case of the Litecoin and the XRP are correlated negatively with the stocks in the whole COVID19 period. We find evidence that, Bitcoin is strong safe haven asset for all the selected stocks during the COVID19 era, while the Litecoin is weak safe haven investment for all the stocks and the XRP is with lowest potential of safe haven investment for all the studied stocks. Within the study we are providing a diversification of hedging for the investors and policy makers suggesting that the cryptocurrencies acted as safe haven investment similar to the precious metals during historic crisis and as fiat money for any economic shocks might occurred. The abstract should summarize the contents of the paper in short terms, i.e. 150-250 words.

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