Name
Abstract | ||
|---|---|---|
The Ad hoc DAta Grid Environment (ADAGE) has been proposed as a framework to support analysis processes for large repositories of ad hoc data. Its use of a service-oriented architecture (SOA) brings the promise of flexibility, as well as enabling domain experts to define their own analysis processes at a high level of abstraction. However, these claims have not been verified empirically and the performance penalty of using additional abstract software layers has not been assessed on complex problems. This chapter describes a case study involving a realistic analysis process conducted by an expert user. It assesses the benefits and drawbacks of using the ADAGE approach versus conventional manual analysis processes. This chapter also outlines some avenues for future research to address existing limitations. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-36219-4_6 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
SOA applications,data-intensive science,business process modelling,user-driven composition,high-frequency data,financial market data,time series analysis,event systems,Thomson Reuters,ADAGE | Time series,Architecture,Abstraction,Software engineering,Computer science,Data grid,Financial analysis,Adage,Business process modeling,Abstraction layer | Conference |
Volume | ISSN | Citations |
135 | 1865-1348 | 1 |
PageRank | References | Authors |
0.36 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lawrence Yao | 1 | 12 | 1.83 |
| Fethi Rabhi | 2 | 427 | 50.68 |
| Maurice Peat | 3 | 2 | 2.74 |