000			01980cam a2200397 i 4500
001			22074459
003			OSt
005			20240824114247.0
008			210607s2022 flua b 001 0 eng
010			_a 2021027713
020			_a9780367626488 _q(hardback)
020			_a9780367622565 _q(paperback)
020			_z9781003110101 _q(ebook)
040			_aLBSOR/DLC _beng _erda _cRLKU _dDLC
042			_apcc
050	0	0	_aQA76.585 _b.K85 2022
082	0	0	_a004.67/82 _223
100	1		_aKumar, Jitendra, _d1975- _eauthor. _9626
245	1	0	_aMachine learning for cloud management / _cJitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press/Taylor & Francis Group, _c2022.
300			_axxiv, 172 pages : _billustrations ; _c27 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 159-170) and index.
520			_a"Machine 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"-- _cProvided by publisher.
650		0	_aCloud computing. _9627
650		0	_aMachine learning. _9521
700	1		_aSingh, Ashutosh Kumar, _eauthor. _9628
700	1		_aMohan, Anand _c(Of Indian Institute of Technology), _eauthor. _9629
700	1		_aBuyya, Rajkumar, _d1970- _eauthor. _9630
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c18094 _d18094