Name
Abstract | ||
|---|---|---|
In the past decade chemical and biological laboratory experiments have generated an explosive amount of data. As a result, a set applications that manipulate these dynamic, heterogeneous and massive amounts of data have emerged. An example of such applications in the pharmaceutical industry is the computational process involved in the early drug discovery of lead drug candidates for a given target disease. The discovery of lead drug candidates requires both consecutive and random data access to the pharmaceutical drug candidate database. This paper focuses on performance enhancement techniques for the pharmaceutical drug candidate database application. In particular, this paper compares static load balancing and dynamic load balancing in the context of the drug candidate databaseapplication. This database application is based on multi-queries. Some of these queries are multi-join queries. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/BIBE.2003.1188973 | BIBE |
Keywords | Field | DocType |
pharmaceutical drug candidate database,pharmaceutical industry,drug candidate databaseapplication,lead drug candidate,case study,set application,dynamic load balancing,static load balancing,database application,early drug discovery,load balancing,random data access,pharmaceuticals,database management systems,data access,chemicals,comparative statics,load balance,drug discovery,explosives,databases | Load management,Data mining,Drug discovery,Pharmaceutical industry,Load balancing (computing),Computer science,Database application,Bioinformatics,Dynamic load balancing,Data access,Pharmaceutical drug,Database | Conference |
ISBN | Citations | PageRank |
0-7695-1907-5 | 0 | 0.34 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Z. Ben Miled | 1 | 0 | 0.34 |
| S. Li | 2 | 22 | 4.06 |
| J. Martin | 3 | 4 | 2.17 |
| C. Balagoplakrishna | 4 | 0 | 0.34 |
| O. Bukhres | 5 | 47 | 4.18 |
| R. J. Oppelt | 6 | 0 | 0.34 |