Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
A Comprehensive Model for the Design of Distributed Computer Systems
IEEE Transactions on Software Engineering
Allocating data files over a wide area network: goal setting and compromise design
Information and Management
A framework for information systems architecture
IBM Systems Journal
Thin-client computers come of age
Network Computing
Downsizing Information Systems
Downsizing Information Systems
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
A cost-oriented approach for infrastructural design
Proceedings of the 2004 ACM symposium on Applied computing
Joint optimization of hardware and network systems
Journal of Parallel and Distributed Computing
Business-Driven Design of Infrastructures for IT Services
Journal of Network and Systems Management
Impacts of web systems on their domain
Journal of Web Engineering
Information and Software Technology
SLA design from a business perspective
DSOM'05 Proceedings of the 16th IFIP/IEEE Ambient Networks international conference on Distributed Systems: operations and Management
Stochastic total cost of ownership optimization for video streaming services
Telematics and Informatics
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This paper proposes a design methodology of Web-based IT architectures tying organizational requirements to technical choices and costs. Information system design and optimum sizing is the result of a reconciliation of several conflicting requirements, including technical performance and costs. Web-based IT architectures involve a number of design choices with significant cost implications: the adoption of thin clients executing Web applications remotely, the choice of the number of architectural tiers over the Web, the allocation of applications on physical machines and the total number of servers involved. The main goal of this paper is the identification of a sequence of design steps, from requirements analysis to physical implementation, that allows designers to estimate the cost implications of architectural choices and, by evaluating multiple design alternatives, determine the minimum-cost architectural solution. Preliminary results from the empirical verification of the methodology indicate that for Web-based architectures cost reductions can be significant and would support the practical use of a cost-oriented approach as a complement to traditional performance evaluations.