Let be a popularity degree of a block is defined as the future access frequency based on the number of access demand, at a time, the popularity degree of a block can be calculated using Holt's Linear and

Exponential Smoothing (HLES).

Patent numbers 5,825,898 "System and Method for Adaptive Interference Cancelling," 6,363,345 "System, Method and Apparatus for Cancelling Noise," 6,049,607 "Interference Canceling Method and Apparatus," 6,377,637 "Sub-band

Exponential Smoothing Noise Canceling System," and 6,483,923 "System and Method for Adaptive Interference Cancelling.

For instance, analysts forecasting metrics that exhibit a time-series trend might utilize

exponential smoothing or regression models.

AWO utilizes powerful forecasting algorithms, including Box-Jenkins ARIMA,

exponential smoothing, Seasonal Regression, and Transfer Function Method to provide superior accuracy.

For the entire year,

exponential smoothing predicted total revenues within 3 percent five times, and two of those times were within 1 percent.

The continuous research (Dzikevicius, Saranda 2010) was the first academia research of using TA to predict the values for OMX Baltic Benchmark Index and compare it with S&P 500 Index of US using an

exponential smoothing method--the exponential moving average (further--the EMA).

Research (Teunter & Sani, 2009) explains that many companies use single

exponential smoothing to forecast intermittent demand, but this generally leads to inappropriate stock levels and Croston's forecasting method (CR) proves to be appropriate and it takes account of both demand size and inter-arrival time between demands.

also discuss techniques such as time series-moving average,

exponential smoothing, and trending.

They are based on various statistical methods such as regression [2-3], Box Jenkins model [4],

exponential smoothing [5] and Kalman filters [6].

The results using the Holt-Winters

exponential smoothing technique are reported in case 3 and are similar economically; however, the point estimate of the coefficient is less significantly different from zero in a statistical sense using the change in the

exponential smoothing estimate of productivity growth.

Those techniques include jury of executive opinion, sales force composite, customer expectations, decomposition,

exponential smoothing, moving average, regression analysis, simulation, straight-line projection, Box-Jenkins time series models, expert systems, neural networks, trend line analysis, and life cycle analysis.

D200A has four different techniques available to forecast these demands, including an 8quarter moving average, a 4-quarter moving average, simple

exponential smoothing, and a regression technique known as predictive logistics.