To promote the intelligent and accurate management of river basins, especially large basins
which involve many catchments, it is highly required to develop a useful platform to …

Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

With the rapid advancement of 5G mobile networks and Internet of Things technology, an
increasing number of data-intensive applications are generating massive amounts of …

Recently, there has been a growing emphasis on reducingenergy consumption in cloud
networks and achieving green computing practices toaddress environmental concerns and …

Stress has a remarkable impact on various cognitive functions, demanding timely and
effective detection using strategies deployed across interdisciplinary domains. It influences …

To address the challenges posed by the dynamism, high latency, and resource scarcity in
integrated air-space-ground hybrid edge cloud environments on task completion times and …

CPU scheduling is a critical aspect of an operating system design as it dictates how
processes are prioritized for execution. In a uniprocessor, only a single process at a time can …

Need for cloud computing has increased in the age of contemporary networked systems,
driving the pursuit of optimal resource allocation and data processing. This is especially …

This paper proposes an Enhanced Virtualization of Resources (EVR) system for high
performance applications in Cloud Computing. It uses a Deep Regression Model (DRM) to …

Анотація Resource management is a fundamental concept in cloud computing and
virtualization, encompassing the allocation, release, coordination, and monitoring of cloud …