Name
Abstract | ||
|---|---|---|
In this paper we address the problem of replication, allocation and mobility of large data-objects in network environments that may be exposed to significant changes in users' location, usage and access patterns. In these circumstances, if the design is not adapted to the new changes, the system can undergo a severe degradation in data access costs and response time. In order to solve this problem, we propose a formal model to generate a new data-object allocation and replication. The model uses current state information of the system and usage statistical data collected during a given period, and adapts the system to the new users' location and usage patterns so as to minimize communication costs. Implicitly the mathematical model handles mobility and temporality. Model tests have been conducted with satisfactory and promising results. The principles used in the model can be applied to other models for the optimization of resources in network environments like the Web. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39866-0_52 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
data access,data collection,mathematical model | Information system,State information,Object-oriented programming,Computer science,Response time,Formal specification,Data objects,Data access,Access frequency,Distributed computing | Conference |
Volume | ISSN | Citations |
2890 | 0302-9743 | 3 |
PageRank | References | Authors |
0.45 | 6 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín Pérez | 1 | 45 | 9.56 |
| Rodolfo A. Pazos | 2 | 29 | 10.95 |
| René Santaolaya Salgado | 3 | 18 | 6.35 |
| Juan Frausto Solís | 4 | 39 | 12.02 |
| Guillermo Rodríguez | 5 | 34 | 6.46 |
| Laura Cruz | 6 | 89 | 28.40 |
| Maricela Bravo | 7 | 29 | 6.76 |