000 03100nam a2200517 i 4500
001 6267244
003 IEEE
005 20220712204608.0
006 m o d
007 cr |n|||||||||
008 151228s2003 maua ob 001 eng d
010 _z 92022556 (print)
020 _a9780262255974
_qelectronic
020 _z0262041324
_qprint
020 _z9780262541534
_qprint
035 _a(CaBNVSL)mat06267244
035 _a(IDAMS)0b000064818b41fc
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.545
_b.D36 1992eb
082 0 0 _a005.74
_220
100 1 _aDan, Asit,
_eauthor.
_921719
245 1 0 _aPerformance analysis of data sharing environments /
_cAsit Dan.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_cc1992.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2003]
300 _a1 PDF (xxi, 118 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aAcm distinguished dissertation
500 _aThesis (Ph. D.)--University of Massachusetts, Amherst, 1990.
504 _aIncludes bibliographical references (p. [103]-113) and index.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aLarge transaction-processing applications, such as banking, flight reservations, telecommunications, and networking, demand increasingly high throughput and fast response times. Coupling multiple systems for database transaction processing can provide these systems with higher capacity and availability at a lower cost. Data sharing is one promising architecture for such an environment.This monograph develops a comprehensive model for analyzing the design and performance of a complex data-sharing environment that consists of multiple, loosely coupled transaction-processing nodes with a common database at the disk level. By capturing the salient features of this data sharing architecture database buffers at each node with their buffer management policies, concurrency control, buffer coherency, nonuniform database access, and CPU queueing delay - the model can be used to answer a number of design questions about scalability, buffer utilization, skewed access, policy selection, and optimal system configuration. Included are two new submodels, for private and shared buffers.Asit Dan is a Research Staff Member at the IBM T. J. Watson Research Center.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/28/2015.
650 0 _aTransaction systems (Computer systems)
_921720
650 0 _aDatabase management.
_93157
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921721
710 2 _aMIT Press,
_epublisher.
_921722
776 0 8 _iPrint version
_z9780262541534
830 0 _aAcm distinguished dissertation
_921723
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267244
942 _cEBK
999 _c72902
_d72902