Title :
Software Connectors for Highly Distributed and Voluminous Data Intensive Systems
Author :
Mattmann, Chris A.
Author_Institution :
Dept. of Comput. Sci., Southern California Univ., v, CA
Abstract :
We describe a research agenda for selecting software connectors which quantifiably satisfy different scenarios for large volume data distribution. We outline the necessity for a framework which allows a user to select amongst the different distribution connectors available. The framework is based on a classification of distribution connectors along eight key dimensions of data distribution
Keywords :
data handling; data integrity; distributed processing; data distribution connectors; distributed data intensive systems; software connectors; voluminous data intensive systems; Computer science; Connectors; Laboratories; Mars; Middleware; NASA; Propulsion; Reconnaissance; Space technology; Taxonomy;
Conference_Titel :
Automated Software Engineering, 2006. ASE '06. 21st IEEE/ACM International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7695-2579-2
DOI :
10.1109/ASE.2006.62
