A smart resource management mechanism with trust access control for cloud computing environment
Sakshi Chhabra, Ashutosh Kumar Singh

TL;DR
This paper proposes a secure, efficient resource management framework for cloud computing that integrates trust-based access control, workload analysis, and encryption to enhance safety and performance.
Contribution
It introduces a novel workload management paradigm with trust access control and real-time security features for virtual machine management in cloud environments.
Findings
Enhanced security against unauthorized VM access
Improved resource allocation efficiency
Additional computational overhead due to trust mechanisms
Abstract
The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. It provides infinite computing capabilities through its massive cloud datacenters, in contrast to early distributed computing models, and has been incredibly popular in recent years because to its continually growing infrastructure, user base, and hosted data volume. This article suggests a conceptual framework for a workload management paradigm in cloud settings that is both safe and performance-efficient. A resource management unit is used in this paradigm for energy and performing virtual machine allocation with efficiency, assuring the safe execution of users' applications, and protecting against data…
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Blockchain Technology Applications and Security
