ln the absence of special purpose monitoring and/or modeling software designed speci?cally for forecasting database disk space requirements, a solution was developed using general purpose database facilities and office suite products. The results achieved were (1) an understanding of the heretofore unknown trends and patterns in the use of disk space by individual databases (2) the ability to accurately and proactively forecast the additional disk space needed for individual databases, and (3) the ability to reclaim the forecast unused disk space, all based upon linear regression analyses.
@artical{s612017ijcatr06011006,
Title = "Performance Forecast of DB Disk Space",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "6",
Issue ="1",
Pages ="32 - 37",
Year = "2017",
Authors ="Srikanth Kumar Tippabhotla"}