5 research outputs found
Analysis of cloud storage prices
Cloud storage is fast securing its role as a major repository for both
consumers and business customers. Many companies now offer storage solutions,
sometimes for free for limited amounts of capacity. We have surveyed the
pricing plans of a selection of major cloud providers and compared them using
the unit price as the means of comparison. All the providers, excepting Amazon,
adopt a bundling pricing scheme; Amazon follows instead a block-declining
pricing policy. We compare the pricing plans through a double approach: a
pointwise comparison for each value of capacity, and an overall comparison
using a two-part tariff approximation and a Pareto-dominance criterion. Under
both approaches, most providers appear to offer pricing plans that are more
expensive and can be excluded from a procurement selection in favour of a
limited number of dominant providers.Comment: 17 pages, 17 figures, 17 reference
Pricing of insurance policies against cloud storage price rises
When a company migrates to cloud storage, the way back is neither easy nor
cheap. The company is then locked up in the storage contract and exposed to
upward market prices, which reduce the company's profit and may even bring it
below zero. We propose a protection means based on an insurance contract, by
which the cloud purchaser is indemnified when the current storage price exceeds
a pre-defined threshold. By applying the financial options theory, we provide a
formula for the insurance price (the premium). By using historical data on
market prices for disks, we apply the formula in realistic scenarios. We show
that the premium grows nearly quadratically with the length of the coverage
period as long as this is below one year, but grows more slowly, though faster
than linearly, over longer coverage periods
Records storage in the cloud: are we modelling the cost?
Cloud services are increasingly seen as a flexible strategy for platform, infrastructure and software. Given the cloud’s claimed economic benefits archives and records professionals are now using cloud services for the storage of digital records and data. However, in determining whether or not to use the cloud for records and/or data storage, what models are available to them for estimating the cost and the medium to long-term financial implications for their organisations? This article identifies models available for estimating cloud storage costs and presents the results of an international survey into their use in the decision-making process with a series of real-use case examples illustrating their value. The study highlights a series of important implications for archivists and records managers. These include the importance and challenges of using the models, their lack of widespread use, their adequacy, and the multiple players who should be involved in their application and development. Archivists and records managers need greater awareness and understanding of the models so they can play a central role in the cloud storage decision-making process and in the development of more effective costing models
Comparison Of Cloud Storage
This paper focuses on cloud storage industry analysis. Some products of public cloud storage providers are main objects: Google Drive, Dropbox, Amazon Cloud Drive and etc. Based on system dynamics, the study represents a whole map of cloud storage stakeholders. In addition, price and storage space as two main factors are researched to illustrate current situation. Using Vensim simulates future number of users about Google Drive. The result shows that Google Drive has a flexible pricing strategy and Dropbox is a security system. However, most factors are hard to digitize. In the future, user satisfaction test will help system simulation better.Master of Science in Information Scienc