000 04326nam a22005655i 4500
001 978-3-642-11579-0
003 DE-He213
005 20160624102140.0
007 cr nn 008mamaa
008 100715s2010 gw | s |||| 0|eng d
020 _a9783642115790
_9978-3-642-11579-0
024 7 _a10.1007/978-3-642-11579-0
_2doi
050 4 _aQA76.9.C643
050 4 _aTK5105.5-5105.9
072 7 _aUT
_2bicssc
072 7 _aCOM067000
_2bisacsh
082 0 4 _a004.6
_223
100 1 _aSiddiqui, Mumtaz.
_eauthor.
245 1 0 _aGrid Resource Management
_h[electronic resource] :
_bOn-demand Provisioning, Advance Reservation, and Capacity Planning of Grid Resources /
_cby Mumtaz Siddiqui, Thomas Fahringer.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXVI, 227 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5951
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.
650 0 _aComputer science.
650 0 _aComputer network architectures.
650 0 _aSoftware engineering.
650 0 _aComputer software.
650 0 _aTelecommunication.
650 1 4 _aComputer Science.
650 2 4 _aComputer Systems Organization and Communication Networks.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aCommunications Engineering, Networks.
700 1 _aFahringer, Thomas.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642115783
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5951
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-11579-0
942 _2EBK8931
_cEBK
999 _c38225
_d38225