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Data centres are powerful ICT facilities which constantly evolve in size, complexity, and power consumption. At the same time users' and operators' requirements become more and more complex. However, existing data centre frameworks do not typically take energy consumption into account as a key parameter of the data centre's configuration. To lower the power(More)
Energy consumption is one of the most constraining requirements for the design and implementation of wireless sensor networks. Simulation tools allow one to significantly decrease the effort and time spent to choose the right solution. Existing simulators provide varying degrees of analysis for communication, application and energy domains. However, they do(More)
Fires or toxic gas leakages may have grave consequences like significant pecuniary loss or even lead to human victims. In this paper we present an autonomous wireless sensor system for early fire and gas leak detection. The system consists of two modules: a gas sensor module and a power management module. The operation of the gas sensor module is based on(More)
Wireless Sensor Networks (WSN) have recently been applied in various monitoring applications including hazardous gases detection. However, being a major power consumer of a sensor node, off-the-shelf gas sensors significantly constrain its lifetime. In this paper we present a WSN for hazardous gases detection with a special focus on the power consumption of(More)
—This paper presents a framework for the virtualization of real world objects and the cognitive management of their virtual counterparts. The framework consists of three levels of functionality and each level comprises cognitive entities that provide the means for self-management and learning, allowing for smart, flexible applications and objects. The(More)
A Wireless Sensor Network (WSN) is a key data provider for the Internet of Things (IoT). A WSN can serve as a tool for both identification and data generation. However, due to its inherent resource limitation the WSNs cannot generate and transmit large data streams and, therefore, typically transmit raw and simple sensor values. Furthermore, the sensors(More)
This paper proposes a cognitive management framework for the Internet of Things (IoT). The framework includes three levels of functionality: virtual object (virtual representation of real object enriched with context information), composite virtual object (cognitive mash-up of semantically interoperable virtual objects), and user/stakeholder levels.(More)
This work addresses the problem of high energy consumption and carbon emissions by data centers which support the traditional computing style. In order to overcome this problem we consider two allocation scenarios: single allocation and global optimization of available resources and propose the optimization algorithms. The main idea of these algorithms is(More)