000			02126nam a22003132 b4500
001			1ssj0000077864
003			APU
005			20150817113314.0
007			cr n
008			990504e20000427njua s|||||||| 2|eng|d
020			_a9780130863287 (hbk.)
020			_a0130863289 (hbk.)
035			_a(WaSeSS)ssj0000077864
037			_b00021483
040			_aBIP US _dSUE _beng _cAPU
050	0	0	_aHF5548.32 _b.M46 2000
082	0	0	_a658.84 _221 _bMEN 2000
100	1		_aMenasce, Daniel A. _eAuthor. _91613
240	1	0	_aScaling for E-Business (Online)
245	1	0	_aScaling for e-business : _btechnologies, models, performance, and capacity planning / _cDaniel A. Menansce, Virgilio A. F. Almeida.
260			_aE Rutherford : _bPrentice Hall PTR, _cc2000.
300			_a462 p. ; _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
520	8		_aAnnotation _b<p>In 1999, slow E-commerce sites cost their owners $44 billion in lost revenue -- and site failures have embarrassed companies from Britannica to eBay, Victoria's Secret to Charles Schwab. In <i>Scaling for e-Business</i>, two of the world's leading Web performance experts present powerful techniques for characterizing, predicting, anticipating, and addressing every aspect of E-commerce site performance. <i>Scaling for e-Business</i> demonstrates how to characterize E-commerce workloads more accurately than any book published yet. It clearly demonstrates techniques for analyzing the performance of authentication and payment services; modeling contention for software servers; modeling and planning for communications infrastructure; and most importantly, forecasting and addressing peak demand. Finally, the Web/E-Commerce developer will discover how to evaluate and project the long-term impact of changes in his/her site visitor profile -- even the growth of non-PC devices and traffic from "intelligent agents" such as comparative shopping bots.</p>
521			_aScholarly & Professional _bPrentice Hall PTR.
650		0	_aElectronic commerce. _9684
700	1		_aAlmeida, Virgilio A. F. _eAuthor. _91615
942			_2lcc _cBook
999			_c11361 _d11361