000			03707nam a22005655i 4500
001			978-3-642-30659-4
003			DE-He213
005			20200421111200.0
007			cr nn 008mamaa
008			120814s2013 gw | s |||| 0|eng d
020			_a9783642306594 _9978-3-642-30659-4
024	7		_a10.1007/978-3-642-30659-4 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aEvolutionary Based Solutions for Green Computing _h[electronic resource] / _cedited by Samee Ullah Khan, Joanna Ko�odziej, Juan Li, Albert Y. Zomaya.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aXX, 256 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v432
520			_aToday's highly parameterized large-scale distributed computing systems may be composed  of a large number of various components (computers, databases, etc) and must provide a wide range of services. The users of such systems, located at different (geographical or managerial) network cluster may have a limited access to the system's services and resources, and different, often conflicting, expectations and requirements. Moreover, the information and data processed in such dynamic environments may be incomplete, imprecise, fragmentary, and overloading. All of the above mentioned issues require some intelligent scalable methodologies for the management of the whole complex structure, which unfortunately may increase the energy consumption of such systems.   This book in its eight chapters, addresses the fundamental issues related to the energy usage and the optimal low-cost system design in high performance ``green computing'' systems. The recent evolutionary and general metaheuristic-based solutions for energy optimization in data processing, scheduling, resource allocation, and communication in modern computational grids, could and network computing are presented along with several important conventional technologies to cover the hot topics from the fundamental theory of the ''green computing'' concept and to describe the basic architectures of systems. This book points out the potential application areas and provides detailed examples of application case studies in low-energy computational systems. The development trends and open research issues are also outlined.  All of those technologies have formed the foundation for the green computing that we know of today.
650		0	_aEngineering.
650		0	_aRenewable energy resources.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650		0	_aRenewable energy sources.
650		0	_aAlternate energy sources.
650		0	_aGreen energy industries.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aRenewable and Green Energy.
650	2	4	_aRenewable and Green Energy.
700	1		_aKhan, Samee Ullah. _eeditor.
700	1		_aKo�odziej, Joanna. _eeditor.
700	1		_aLi, Juan. _eeditor.
700	1		_aZomaya, Albert Y. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642306587
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v432
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-30659-4
912			_aZDB-2-ENG
942			_cEBK
999			_c53759 _d53759