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136 lines
2.8 KiB
136 lines
2.8 KiB
/*
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* Copyright (C) 2002-2003 Fhg Fokus
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*
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* This file is part of SEMS, a free SIP media server.
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*
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* SEMS is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version. This program is released under
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* the GPL with the additional exemption that compiling, linking,
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* and/or using OpenSSL is allowed.
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*
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* For a license to use the SEMS software under conditions
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* other than those described here, or to purchase support for this
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* software, please contact iptel.org by e-mail at the following addresses:
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* info@iptel.org
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*
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* SEMS is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*/
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/** @file AmStats.h */
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#ifndef _AmStats_h_
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#define _AmStats_h_
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#include <sys/types.h>
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#include <math.h>
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#include <string.h>
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/**
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* \brief math mean implementation
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*
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* The mean of all previously stored values is calculated (no reset).
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*/
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class MeanValue
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{
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protected:
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double cum_val;
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size_t n_val;
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public:
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MeanValue()
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: cum_val(0.0),
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n_val(0)
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{}
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virtual ~MeanValue() { }
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void push(double val){
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cum_val += val;
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n_val++;
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}
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double mean(){
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if(!n_val) return 0.0;
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return cum_val / float(n_val);
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}
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};
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/**
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* \brief math stddev implementation
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*
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* The standard deviation of previously stored
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* values is calculated.
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*/
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class StddevValue
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{
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protected:
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double cum_val;
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double sq_cum_val;
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size_t n_val;
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public:
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StddevValue()
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: cum_val(0.0),
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sq_cum_val(0.0),
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n_val(0)
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{}
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void push(double val){
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cum_val += val;
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sq_cum_val += val*val;
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n_val++;
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}
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double stddev(){
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if(!n_val) return 0.0;
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return sqrt((n_val*sq_cum_val - cum_val*cum_val)/(n_val*(n_val-1)));
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}
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};
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/**
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* \brief math mean implementation (n values)
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*
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* The mean of n previously stored values is calculated
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*/
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class MeanArray: public MeanValue
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{
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double *buffer;
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size_t buf_size;
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public:
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MeanArray(size_t size)
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: buf_size(size),
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MeanValue()
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{
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buffer = new double[size];
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memset(buffer, 0, sizeof(buffer[0])*size);
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}
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~MeanArray(){
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delete [] buffer;
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}
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void push(double val){
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cum_val -= buffer[n_val % buf_size];
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buffer[n_val % buf_size] = val;
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cum_val += val;
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n_val++;
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}
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double mean(){
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if(!n_val) return 0.0;
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return cum_val / double(n_val > buf_size ? buf_size : n_val);
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}
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};
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#endif
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