Name
Abstract | ||
|---|---|---|
An increasing number of online applications operate ondata from disparate, and often wide-spread, data sources.This paper studies the design of a system for the automatedmonitoring of on-line data sources. In this system a numberof ad-hoc data warehouses, which maintain client-specifiedviews, are interposed between clients and data sources. Wepresent a model of coherence, referred to here as slackercoherence, to address the freshness problem in the context of pull-based protocols. We experimentally examinevarious techniques for estimating update rates and pollingadaptively. We also look at the impact on the coherencemodel performance of the request scheduling algorithm atthe source. |
Year | Venue | Keywords |
|---|---|---|
2003 | CCGrid | increasing number,online application,numberof ad-hoc data warehouse,freshness problem,paper study,pull-based protocol,data source,On-line Data Sources,Slacker Coherence rotocol,examinevarious technique,on-line data source,Pull-based Monitoring,coherencemodel performance |
DocType | ISBN | Citations |
Conference | 0-7695-1919-9 | 6 |
PageRank | References | Authors |
0.82 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radhakrishnan Sundaresan | 1 | 6 | 0.82 |
| Tahsin M. Kurç | 2 | 1423 | 149.77 |
| Mario Lauria | 3 | 628 | 95.12 |
| Srinivasan Parthasarathy | 4 | 4666 | 375.76 |
| Joel H. Saltz | 5 | 4046 | 569.91 |