Abstract | ||
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A study of current server architecture models identified limitations and performance bottlenecks in servers that utilize either a pre-fork or a fork-on-demand strategy. Two new server architecture models were developed to address these problems - Automatic Rate Control (ARC) and Server Monitoring and Adaptive Response to Traffic (SMART). ARC measures the rate of incoming requests and performs an on-the-fly prediction of subsequent loads. SMART was derived from strategic management which used data collected passively to determine a future expected traffic profile and hence perform an early prediction of subsequent loads. These two models performed 40-50% better than conventional pre-fork models and were implemented as the architecture of the Broker server used as part of the application layer of the Digital Media Repository (DMR). |
Year | Venue | Keywords |
---|---|---|
2002 | ESM | improve performance,historical data,rate control |
Field | DocType | ISBN |
Computer science,Server,Database | Conference | 90-77039-07-4 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pok Vic Sent | 1 | 0 | 0.34 |
Simon See | 2 | 5 | 3.12 |
Ian Thng | 3 | 0 | 0.34 |