title: Pluggable application server framework.
abstract: Building a system based on variants of disparate individual components/programs is usually a challenging task. The components/programs are not designed to communicate with each other but the whole system construction does require a seamless collaboration among them. In this paper, targeting at protein structure prediction, a pluggable application server framework is presented. The framework is capable of combining various existing programs into an efficient unit and the design is devoted to provide a model which is able to integrate heterogeneous components/programs into the system quickly without modifying their codes. Based on the model, different components can be plugged into the system with easy configuration, which would lead to a self-configurable and adaptive system. A protein structure prediction server implementation was developed by applying the design model and the real implementation emphasizes the efficiency and simplicity of the system construction. The method and model are generic and can be applied to other system design as well.
authors.affiliation: Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA 30303, USA.
authors.forename: H
authors.initials: H
authors.lastname: Wang
authors.forename: F
authors.initials: F
authors.lastname: Tan
authors.forename: A
authors.initials: A
authors.lastname: Sabnis
authors.forename: X
authors.initials: X
authors.lastname: Fu
authors.forename: P
authors.initials: P
authors.lastname: Volarath
authors.forename: R
authors.initials: R
authors.lastname: Harrison
mesh_terms: D000595:Amino Acid Sequence; D019295:Computational Biology / Q000379:methods*; D003195:Computer Communication Networks; D003628:Database Management Systems; D030562:Databases, Protein; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins