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Systems for Internet of Things (IoT) have generated new requirements in all aspects of their development and deployment, including expanded Quality of Service (QoS) needs, enhanced resiliency of computing and connectivity, and the scalability to support massive numbers of end devices in a variety of applications. The research reported here concerns the development of a reliable and secure IoT/cyber physical system (CPS), providing network support for smart and connected communities, to be realized by means of distributed, secure, resilient Edge Cloud (EC) computing. This distributed EC system will be a network of geographically distributed EC nodes, brokering between end-devices and Backend Cloud (BC) servers. This paper focuses on three main aspects of the CPS: a) resource management in mobile cloud computing; b) information management in dynamic distributed databases; and c) biological-inspired intrusion detection system.more » « less
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Entropy-based methods are useful tools for investigating various problems in mathemati- cal chemistry, computational physics and pattern recognition. In this paper we introduce a general framework for applying Shannon entropy to fullerene graphs, and used it to in- vestigate their properties. We show that important physical properties of these molecules can be determined by applying Hosoya entropy to their corresponding graphs.more » « less
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Entropy-based methods are useful tools for investigating various problems in mathemati- cal chemistry, computational physics and pattern recognition. In this paper we introduce a general framework for applying Shannon entropy to fullerene graphs, and used it to in- vestigate their properties. We show that important physical properties of these molecules can be determined by applying Hosoya entropy to their corresponding graphs.more » « less
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