Issues in server farm design for real time e-commerce transactions
Alok R. Chaturvedi, Mukul Gupta, Sameer Gupta, Krannert Graduate School of Management. Institute for Research in the Behavioral, Economic, and Management Sciences
Krannert Graduate School of Management, Purdue University, 2001 - Client/server computing - 36 pages
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aborted transaction analyze the performance arrival rate arriving transaction Average throughput behavior Charles Noussair completed conflict resolution policies current transaction design policies different network delays different priority handling distributed transaction processing e-commerce eight node server eight-node system estimates executed farm under different Feasible FIFO four node server high network delays implemented incoming transactions Kovenock Krannert Graduate School less complex systems load balancer locks low load conditions machine server farm Margaretha Hendrickx Mark Olson Matheny miss their deadlines network delay actually noda Figure node server farm node system number of nodes Number of OK number of transactions OK transactions serviced performance of server Philip Bromiley priority handling policies real-time distributed transaction Ruffieux schedule all transactions serializability server farm systems SIMDS slack sub-transactions Sugato Chakravarty system load increases system performance System throughput tardy transactions temporary instability Thomas H Total throughput transaction arrives transaction mix transaction processing system update transactions variance West Lafayette