000			a
999			_c31825 _d31825
008			230420b xxu||||| |||| 00| 0 eng d
020			_a9780367622565
082			_a004.6782 _bKUM
100			_aKumar, Jitendra _eed.
245			_aMachine learning for cloud management
260			_bCRC Press, _aBoca Raton : _c2022
300			_axvi, 182 p.; _bill., (charts), _c26 cm
365			_b53.99 _cGBP _d104.20
504			_aIncludes bibliographical references and index.
520			_aMachine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. The book is ideal for researchers who are working in the domain of cloud computing.
650			_aMachine learning
650			_aCloud computing
650			_aAuto regressive moving average
650			_aBlack-hole algorithm
650			_aDifferential evolution
650			_aError prevention scheme
650			_aMean squad error;
650			_aError range prediction
650			_aSelf directed learning
650			_aWorkload prediction
650			_a Neural network
700			_aSingh, Ashutosh Kumar _eed.
700			_aMohan, Anand _eed.
700			_aBuyya, Rajkumar _eed.
942			_2ddc _cBK