An Improved Long-Term File Usage Prediction Algorithm
نویسنده
چکیده
As more computing centers collect files to use in data-mining or datamarts, managing long-term storage space becomes more important. We describe a new way to more accurately predict which files will be used in the future. This new method is an order-of-magnitude more accurate than any current technique. Fifty to eighty percent of all user files can be compressed or moved to tertiary storage with little impact on the user perceived performance. This paper supports these conclusions with an analysis of long-term (5-8 months) data collected on different types of computing environments.
منابع مشابه
Pre Processing of Web Logs – An Improved Approach For E-Commerce Websites
In this paper an improved approach for pre processing of web logs data has been proposed and evaluated so that it can be applied for web logs of e-commerce web sites. The resultant web log data after these pre processing steps can be used for further pattern discovery and analysis that helps to provide useful prediction to enhance e-commerce. Ideally, the input for the Web Usage Mining process ...
متن کاملCombination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting
In order to provide an efficient conversion and utilization of solar power, solar radiation datashould be measured continuously and accurately over the long-term period. However, the measurement ofsolar radiation is not available to all countries in the world due to some technical and fiscal limitations. Hence,several studies were proposed in the literature to find mathematical and physical mod...
متن کاملTHE USAGE OF ARTIFICIAL NEURAL NETWORKS IN HYDRODYNAMIC ANALYSIS OF FLOATING OFFSHORE PLATFORMS
Floating offshore structures, particularly floating oil production, storage and offloading systems (FPSOs) are still in great demand, both in small and large reservoirs, for deployment in deep water. The prediction of such vessels’ responses to her environmental loading over her lifetime is now often undertaken using response-based design methodology, although the approach is still in its...
متن کاملPrediction-Based Portfolio Optimization Model for Iran’s Oil Dependent Stocks Using Data Mining Methods
This study applied a prediction-based portfolio optimization model to explore the results of portfolio predicament in the Tehran Stock Exchange. To this aim, first, the data mining approach was used to predict the petroleum products and chemical industry using clustering stock market data. Then, some effective factors, such as crude oil price, exchange rate, global interest rate, gold price, an...
متن کاملDynamic Bandwidth Shaping Algorithm for Internet Traffic Sharing Environments
-For emerging Internet services and contents in the traffic-sharing environment of limited bandwidth capacity, an efficient method is required to manage the Internet-sharing problem and to improve quality of service (QoS) for highdemand bandwidth users. The results of our study show that dynamically delaying un-attended Internet usage activities, such as large file downloading, will drive more ...
متن کامل