File Name: billing and metering of services in cloud computing .zip
Cloud computing  is the on-demand availability of computer system resources , especially data storage cloud storage and computing power , without direct active management by the user. If the connection to the user is relatively close, it may be designated an edge server. Clouds may be limited to a single organization enterprise clouds   , or be available to multiple organizations public cloud.
The AWS Marketplace Metering Service is a pricing and metering feature that sellers can use to directly charge for their software by one of four usage categories: users, data, bandwidth, or hosts. Products that use the Metering Service must charge customers along a single usage category, but you can define up to 24 dimensions of a single category. Depending on the category, software can be priced by provisioned resources, concurrent resources, or accumulated resource consumption. All charges are still incurred hourly by the customer. All usage is calculated and billed monthly using the same mechanism as existing AWS Marketplace software. For example, if your software monitors hosts, you can charge for each host monitored. You can have different prices based on the host size, and charge for the number of concurrent hosts monitored each hour.
Read more. Alignment of IT resources with their cost can determine the profitability and allocation of cost per department or user. This article describes the metering and billing options available for well-established cloud computing models as well as models offered by developing technology. Each available cloud model has its own spin on how resource allocation is determined, and that spin is different from traditional IT business models in terms of affordability and the expense model in use. Lower cost and improved allocation of IT resources per service changes from capital expenditure for the common IT department to operational expenditure for the service and user.
Cloud computing considerably reduces the costs of deploying applications through on-demand, automated and fine-granular allocation of resources. Even in private settings, cloud computing platforms enable agile and self-service management, which means that physical resources are shared more efficiently. Nevertheless, using shared infrastructures also creates more opportunities for attacks and data breaches. In this paper, we describe the SecureCloud approach.
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