| Document Date: 2007-06-27 02:08:29
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City San Francisco / Atlanta / Achieving Class / Boston / / Company IBM / Database Systems / Oracle / IEEE Transactions Parallel Distributed Systems / / Event Patent Filing / / Facility C. Hall / / IndustryTerm preemptive lock-scheduling algorithm / prioritization tools / online store / Web servers / busy internet services / clustered web servers / transactional web applications / e-commerce systems / scheduling algorithms / Power law scaling / web commerce / online transaction processing / Online Shopping / / MarketIndex TPC / / Organization Transaction Processing Performance Council / I. T. Lab. / / Person E. Nahum / N. Ailamaki / A. Wierman / A. Iyengar / M. Harchol-Balter / D. McWherter / B. Schroeder / / Position database resource manager / representative / / Product DB2 / / ProvinceOrState Wisconsin / California / Georgia / Massachusetts / / TVStation WCW / / Technology preemptive lock-scheduling algorithm / load balancing / relational database system / Linux / Very Large Database / simulation / Quality of Service / / URL http /
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3 Achieving QoS for Database Systems (DBMS) We now turn our attention to Web servers serving dynamic rather than static content. Here response times can be an order of magnitude slower than in the case of static content,