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Semi-Markov Availability Model for Infrastructure as a Service Cloud Considering Energy Performancefailed, that is available PMs. Semi-Markov Availability model for the cloud infrastructure considering sudden failures of physical and virtual machines are considered, too. Mathematical modeling results will be present in order to give certain clarifications on the possible use of approach suggested.

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1FAWN

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Decrease of Energy Consumption of Transport Telecommunication Networks Using Stage-by-Stage Controllper. Energy reduction is achieved due to the use of step-by-step procedure of finding out abnormal situations, errors optimization of identification system states, the use of multi-agent and permission of agents dependent on hierarchy level of transport telecommunication network.

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,»Lebte er, — er wäre heute in Amerika«,ised by the term “Green IT”. Nowadays, many of the current activities lay emphasis on the hardware side of Green IT. However, software issues play a significant role in defining system and hardware requirements as well as the amount of energy consumed by ICT devices and the underlying infrastructure

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https://doi.org/10.1007/978-3-476-05545-3ented challenges. Thanks to the coordinated multi-point (CoMP) networks, the performance of wireless transmission can be largely enhanced. To sufficiently explore the performance of CoMP, two key issues of resource allocation, user scheduling and power allocation, should be appropriately determined.

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