Title
Use of Rate Control and Historical Data to Improve Performance of Servers
Abstract
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 Sent100.34
Simon See253.12
Ian Thng300.34