Artificial Intelligence (AI) Backed Cloud Resource Management Approach for Infrastructure as a Service (IAAS)
Abstract:
Cloud Computing (CC) and Artificial Intelligence (AI) marks
the dawn of a new era of transformation, where customers can avail resources from
service providers, that offer users or machines pay per use computers as virtual
machines, raw (block) storage, firewalls, load balancers, and network devices enabling
smart solutions; promptly, efficiently and economically. The resulting application
from the twin-technologies of cloud computing and artificial intelligence could
be combined to significantly enhance resource management services such as allocation,
provisioning, requirement mapping, adaptation, discovery, estimation, and modeling.
The conclusion that follows is scalability, quality of service, optimal utility,
reduced overheads, improved throughput, reduced latency, specialized environment,
cost effectiveness and simplified interface. This study aims to improve the performance
of AI in cloud resource management for best optimization. The rest of the paper
is organized as follows as Introduction to Artificial intelligence, cloud computing,
Review of Literature, Resource Management in OpenStack, Issues and challenges and
conclusion.
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