Adaptive Virtualization Technologies for High-Efficiency Computing Across Multi-Cloud Architectures
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V5I3P101Keywords:
Adaptive virtualization, multi-cloud computing, high-efficiency computing, resource management, hypervisor optimization, containerization, energy efficiencyAbstract
Smart virtualization tools have stampeded as a fundamental facilitator of high efficiency computing within systems of multi-clouds. Such technologies lead to optimization of resources, better management of workload and also the overall performance of a distributed computing environment is better. The increasing sophistication of multi-cloud architectures, which include both heterogeneous hardware and not only dynamic workloads also require intelligent virtualization capabilities. The paper examines the adaptive virtualization methods currently in the state-of-the-art such as optimizing hypervisor, container-based virtualization, and machine learning-driven resource management. It also mentions the difficulty in implementing these techniques in multi-clouds like latencies in the network, security issues, and interoperability problems. This study shows that with a mixture of simulation and real world deployment studies, adaptive virtualization can dramatically improve the performance of the computation, decrease the amount of energy used and offer scalable application performance to business programs. Comprehensive methodology of applying adaptive virtualization to multi-cloud environments which is presented in the paper is justified by experimental findings, comparative research, and theoretical modeling. Findings have shown a definite direction on how adaptive virtualization can be leveraged to meet the challenge of the current high performance computing workloads at low-cost and in an economically sustainable manner
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