Name
Abstract | ||
|---|---|---|
We focus on load balancing policies for homogeneous clustered Web servers that tune their parameters on-the-fly to adapt to changes in the arrival rates and service times of incoming requests. The proposed scheduling policy, ADAPTLOAD, monitors the incoming workload and self-adjusts its balancing parameters according to changes in the operational environment such as rapid fluctuations in the arrival rates or document popularity. Using actual traces from the 1998 World Cup Web site, we conduct a detailed characterization of the workload demands and demonstrate how online workload monitoring can play a significant part in meeting the performance challenges of robust policy design. We show that the proposed load, balancing policy based on statistical information derived from recent workload history provides similar performance benefits as locality-aware allocation schemes, without requiring locality data. Extensive experimentation indicates that ADAPTLOAD results in an effective scheme, even when servers must support both static and dynamic Web pages. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TPDS.2005.38 | IEEE Trans. Parallel Distrib. Syst. |
Keywords | Field | DocType |
balancing parameter,1998 world cup web site,web server,rapid fluctuation,self-managing clusters,proposed scheduling policy,load balance,workload-aware load balancing,recent workload history,dynamic web pages,resource allocation,online workload monitoring,operational environment,file servers,web sites,arrival rate,dynamic web page,internet,work- load characterization,clustered web servers,workstation clusters,locality-aware allocation schemes,locality awareness,world cup web site,workload demand,workload-aware load,robust policy design,incoming workload,static and dynamic pages.,switches,sun,availability,service oriented architecture,scalability,web pages,vehicle dynamics,robustness | File server,Network Load Balancing Services,Load balancing (computing),Workload,Computer science,Server,Computer network,Round-robin DNS,Real-time computing,Dynamic web page,Web server,Distributed computing | Journal |
Volume | Issue | ISSN |
16 | 3 | 1045-9219 |
Citations | PageRank | References |
66 | 2.46 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qi Zhang | 1 | 414 | 22.77 |
| Alma Riska | 2 | 683 | 48.63 |
| Wei Sun | 3 | 66 | 2.46 |
| Evgenia Smirni | 4 | 1857 | 161.97 |
| Gianfranco Ciardo | 5 | 2144 | 178.59 |