This paper proposes a conceptual model for a secure and performance-efficient workload management model in cloud environments. In this model, a resource management unit is employed for energy and performance proficient allocation of virtual machines while ensuring the secure processing of users' applications by defending against data breaches due to unauthorized access to virtual machines in real-time. The resource management unit is guided by a secure virtual machine management unit which is designed to generate information regarding unauthorized access or inter-communication links among active virtual machines. Also, a workload analyzer unit operates concurrently to estimate resource utilization information to assist the resource management unit in the performance-efficient allocation of virtual machines. Contrary to prior works which engage access control mechanisms, encryption, and decryption of data before the transfer and the use of tunneling for prevention of unauthorized access to virtual machines which raises excess computational cost overhead, the proposed model operates diversely for efficiently serving the same purpose.
@article{arxiv.2210.16602,
title = {an intelligent security centered resource-efficient resource management model for cloud computing environments},
author = {Deepika Saxena and Ashutosh Kumar Singh},
journal= {arXiv preprint arXiv:2210.16602},
year = {2022}
}
Comments
This article contains 12 pages, and 3 figures. It presents a conceptual resource management model for cloud data center environments which is the outcome of the authors' six to seven years of research work in the area of Cloud Computing