Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

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Handbuch der Physik‘ Encyclopedia of Physicsngs, and increased energy efficiency. In this paper, we have four kinds of compute types available in AWS - Accelerated Compute Types, Compute Optimized Instances, Memory Optimized Instances, and Standard Instances. We have proposed an automated approach for prediction of most appropriate compute ty

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https://doi.org/10.1007/978-3-642-45850-7scheme to improve energy savings. That is a unique adaptive energy-aware VM allocation and deployment technique for different applications to address these issues. We conducted a comprehensive exploratory program utilizing an authentic workload of over a million Planet Lab VMs. The research results

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https://doi.org/10.1007/978-3-8351-9020-7age and capacity. However, the presence of co-channel cells may result in interference among the user stations and degrade the overall system capacity. Hence, resource optimization techniques are required in these scenarios to improve the system capacity and user quality. In this study, the power al

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https://doi.org/10.1007/978-3-8351-9020-7approach to tackle this is semi-oblivious routing, which incorporates adaptability to suit dynamic traffic demands with predefined paths. In comparison to other routing methodologies, semi-oblivious routing strategies display superior performance and robustness in practice..Introducing a fresh appro

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,Offpage-Optimierung über Social Signals,tudy proposes an ant colony optimization algorithm to optimize energy-efficient cluster-based routing within UWSNs. The network architecture involves systematic segmentation into clusters, each of which is monitored by a carefully selected cluster head (CH) based on criteria such as distance and rem