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Titlebook: Expert Clouds and Applications; Proceedings of ICOEC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings 2023 The Edi

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Task Scheduling in Fog Assisted Cloud Environment Using Hybrid Metaheuristic Algorithm,his paper suggested a hybrid meta-heuristic algorithm grey wolf optimization (GWO) algorithm combined with particle swarm optimization (PSO) termed hybrid PSO and GWO (HPSO_GWO) to schedule the tasks to the VMs to optimize the QoS.
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https://doi.org/10.1007/978-981-99-1745-7Clouding Computing; Evolutionary Computing; Cognitive Intelligence; Cognitive Communication Networks; Ar
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I. Jeena Jacob,Selvanayaki Kolandapalayam ShanmugaPresents recent research in the field of cloud computing.Discusses the outcomes of ICOECA 2023, held in Bangalore, India.Serves as a reference guide for researchers and practitioners in academia and i
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Processing of Vibration Records,cious activity. IDSs can use machine learning algorithms like ANNs or SVMs analyze data and identify potential threats. These systems have the ability to improve network security by alerting administrators to potential threats in real time. However, IDSs also have limitations, such as being affected
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https://doi.org/10.1007/978-3-031-49092-7ation. Clients would want to utilize end-to-end data encryption to protect data security; however, effective encryption nullifies the value of all established storage-optimization methods like data deduplication. To save cost and storage space, image deduplication in cloud computing is proposed. To
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U. K. Sinha,K. Tirumalesh,Hemant V. Mohokare accessed from anywhere. Even though . and . have been developed independently, combining these two technologies results in a renaissance in the construction of smart environments and future networks. . is the name of the latest evolution. The major concern with . is security. Researchers from arou
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