Artificial Intelligence (AI) Backed Cloud Resource Management Approach for Infrastructure as a Service (IAAS)

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DOI: 10.21522/TIJAR.2014.SE.19.02.Art010

Authors : Md. Shahidul Hasan, Balamurugan E, Mohammad Shawkat Akbar Almamun, Sangeetha K

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.

Keywords: Artificial Intelligence, Cloud Computing, OpenStack, Resource Management

References:

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