Information systems research at George Mason University
ACM SIGMOD Record
On a language based method for software performance engineering of client/server systems
Proceedings of the 1st international workshop on Software and performance
Proceedings of the 2nd international workshop on Software and performance
Reusable component interconnection patterns for distributed software architectures
SSR '01 Proceedings of the 2001 symposium on Software reusability: putting software reuse in context
Conceptual Models and Architectures for Advanced Information Systems
Applied Intelligence
A Method for Design and Performance Modeling of Client/Server Systems
IEEE Transactions on Software Engineering
Knowledge Management in Heterogeneous Data Warehouse Environments
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
A Forest Canopy Research Database and Analysis System
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Performance Engineering of Component-Based Distributed Software Systems
Performance Engineering, State of the Art and Current Trends
A cost-oriented approach for infrastructural design
Proceedings of the 2004 ACM symposium on Applied computing
Designing and Rightsizing the Information System Architecture
Information Systems Frontiers
Configuration of distributed message converter systems
Performance Evaluation
QoS management in service-oriented architectures
Performance Evaluation
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The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographically distributed, and data-intensive systems. Designing such systems in a way that ensures that the resulting design will satisfy all functional and performance requirements is not a trivial task. This paper presents a performance oriented methodology to design large-scale distributed data intensive information systems. The methodology is then applied to the design of the EOSDIS Core System (ECS). Performance results, based on queueing network models of ECS are also presented.