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020 _a9783642115790
_99783642115790
024 7 _a10.1007/9783642115790
_2doi
035 _avtls000354671
039 9 _a201509030529
_bVLOAD
_c201405060338
_dVLOAD
_y201402191023
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.C643
100 1 _aSiddiqui, Mumtaz.
_eautor
_9340246
245 1 0 _aGrid Resource Management :
_bOn-demand Provisioning, Advance Reservation, and Capacity Planning of Grid Resources /
_cby Mumtaz Siddiqui, Thomas Fahringer.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _axv, 227 páginas 70 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5951
500 _aSpringer eBooks
505 0 _aOverview -- Model -- Brokerage -- Grid Resource Management and Brokerage System -- Grid Activity Registration, Deployment and Provisioning Framework -- Planning -- Allocation Management with Advance Reservation and Service-Level Agreement -- Optimizing Multi-Constrained Allocations with Capacity Planning -- Semantics -- Semantics in the Grid: Towards Ontology-Based Resource Provisioning -- Semantics-Based Activity Synthesis: Improving On-Demand Provisioning and Planning -- Conclusion -- Conclusion.
520 _aIn a dynamic computing environment, such as the Grid, resource management plays a crucial role in making distributed resources available on demand to anyone from anywhere at any time without undermining the resource autonomy; this becomes an art when dealing with heterogeneous resources distributed amongst multiple trust domains spanning the Internet. Today, Grid execution environments provide abstract workflow descriptions that need a dynamic mapping to actual deployments; this further accentuates the importance of resource management in the Grid. This monograph renders boundaries of Grid resource management, identifies research challenges and proposes new solutions with innovative techniques for on-demand provisioning, automatic deployments, dynamic synthesis, negotiation-based advance reservation and capacity planning of Grid resources. Grid capacity planning is performed with multi-constrained optimized resource allocations by modeling resource allocation as an on-line strip packing problem and introducing a new solution that optimizes resource utilization and QoS while generating contention-free solutions. The book further explains the use of semantic web technologies in the Grid to specify explicit definitions and unambiguous machine interpretable resource descriptions for intelligent resource matching and synthesis; the synthesis process generates new compound resources with aggregated capabilities and prowess. The techniques introduced have been developed and integrated in the ASKALON Grid application development and runtime environment, deployed in the Austrian Grid, and are demonstrated in this book by means of well-performed experiments.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFahringer, Thomas.
_eautor
_9304443
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642115783
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-11579-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c302109
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