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arXiv · 2004.11707

Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities

Afzal Badshah·Anwar Ghani·Ali Daud·Anthony Theodore Chronopoulos·Ateeqa Jalal
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Abstract

Revenue generation is the main concern of any business, particularly in the cloud, where there is no direct interaction between the provider and the consumer. Cloud computing is an emerging core for today's businesses, however, Its complications (e.g, installation, and migration) with traditional markets are the main challenges. It earns more but needs exemplary performance and marketing skills. In recent years, cloud computing has become a successful paradigm for providing desktop services. It is expected that more than \$ 331 billion will be invested by 2023, likewise, 51 billion devices are expected to be connected to the cloud. Infrastructure as a Service (IaaS) provides physical resources (e.g, computing, memory, storage, and network) as VM instances. In this article, the main revenue factors are categorized as SLA and penalty management, resource scalability, customer satisfaction and management, resource utilization and provision, cost and price management, and advertising and auction. These parameters are investigated in detail and new dynamics for researchers in the field of the cloud are discovered.

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Afzal Badshah, Anwar Ghani, Ali Daud, Anthony Theodore Chronopoulos, Ateeqa Jalal. 2020-04-24. Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities. https://arxiv.org/abs/2004.11707

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