000			02197nmm a2200361 a 4500
001			00002631
003			WSP
005			20220711214115.0
007			cr |uu|||uu|||
008			181022s1995 si a ob 001 0 eng d
010			_z 94046515
040			_aWSPC _beng _cWSPC
020			_a9789812831224 _q(ebook)
020			_z9789810221355 _q(hbk.)
050	0	4	_aQA76.9.D5 _bM47 1995
072		7	_aCOM _x004000 _2bisacsh
082	0	4	_a005.4/3 _223
100	1		_aMehra, Pankaj, _d1964-245 _93665
245	1	0	_aLoad balancing _h[electronic resource] : _ban automated learning approach / _cPankaj Mehra, Benjamin W. Wah.
260			_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©1995.
300			_a1 online resource (156 p.) : _bill.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
588			_aTitle from web page (viewed December 7, 2018).
504			_aIncludes bibliographical references and index.
520			_a"This book presents a system that learns new load indices and tunes the parameters of given migration policies. The key component is a dynamic workload generator that allows off-line measurement of task-completion times under a wide variety of precisely controlled loading conditions. The workload data collected are used for training comparator neural networks, a novel architecture for learning to compare functions of time series and for generating a load index to be used by the load balancing strategy. Finally, the load-index traces generated by the comparator networks are used in a population-based learning system for tuning the parameters of a given load-balancing policy. Together, the system constitutes an automated strategy-learning system for performance-driven improvement of existing load-balancing software."-- _cPublisher's website.
650		0	_aElectronic data processing _xDistributed processing. _93666
650		0	_aComputer capacity _xPlanning. _93667
650		0	_aElectronic books. _920624
700	1		_aWah, Benjamin W. _93669
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/2631#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c72489 _d72489