Name
Abstract | ||
|---|---|---|
While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms of the request frequency and update frequency. Experiment shows our mashup platform with the model can reduce data maintenance cost. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SCC.2012.10 | IEEE SCC |
Keywords | Field | DocType |
data service mashups,data maintenance problem,maintenance cost model,response cost,minimum maintenance cost,challenging problem,update cost,data service mashup,efficient data maintenance model,mashup platform,data maintenance cost,vectors,data service,computational modeling,mashups,web services,maintenance engineering,data models,data handling,mashup | Mashup,Response cost,Data modeling,Computer science,Web service,Maintenance Problem,Data as a service,Group method of data handling,Database,Maintenance engineering | Conference |
Citations | PageRank | References |
2 | 0.40 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Zhang | 1 | 172 | 19.52 |
| Guiling Wang | 2 | 832 | 52.06 |
| Guang Ji | 3 | 5 | 0.86 |
| Yanbo Han | 4 | 500 | 59.74 |