DocumentCode
3237811
Title
Bio-inspired algorithms for query optimization in biological databases
Author
Melita, L. ; Ganapathy, Gopinath ; Prakash, P.
Author_Institution
Dept. of Comput. Sci., Jimma Univ., Jimma, Ethiopia
fYear
2010
fDate
2-4 Nov. 2010
Firstpage
370
Lastpage
373
Abstract
Despite of the numerous research efforts on distributed query processing, the complexity of the problem has been little solved which paves way for the exploration on the solution of the problem. However, due to its inherent difficulty, the complexity of the majority of problems on distributed query optimization remains unknown. In this paper, we analyze and present the problems identified and the possible algorithms used for solving them. The higher probability of problem solving nature of the Bio-inspired Algorithms has been projected with a Comparative Study on literature proof and as a result a proposal for Query Optimization on Biological Databases is introduced.
Keywords
biology computing; distributed databases; query processing; bio-inspired algorithms; biological databases; distributed query optimization; distributed query processing; Biology; Databases; Equations; Gallium; Optimization; Probabilistic logic; Usability; Bio-Computing; Memetic Algorithms; Query Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8844-5
Electronic_ISBN
978-1-4244-8845-2
Type
conf
DOI
10.1109/ICCTD.2010.5645824
Filename
5645824
Link To Document