Future Generation Computer Systems - Special issue on metacomputing
Using analytic models predicting middleware performance
Proceedings of the 2nd international workshop on Software and performance
Probabilistic application modeling for system-level perfromance analysis
Proceedings of the conference on Design, automation and test in Europe
With HEART Towards Response Time Guarantees for Message-Based e-Services
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Predicting the Performance of Wide Area Data Transfers
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Enhancing the Apriori Algorithm for Frequent Set Counting
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Industrial Stochastic Simulations on a European Meta-Computer
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
Performance and Memory-Access Characterization of Data Mining Applications
WWC '98 Proceedings of the Workload Characterization: Methodology and Case Studies
Adaptive and Resource-Aware Mining of Frequent Sets
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Statistical properties of transactional databases
Proceedings of the 2004 ACM symposium on Applied computing
Distributed Multimedia System Design: A Holistic Perspective
Proceedings of the conference on Design, automation and test in Europe - Volume 2
The role of performance engineering techniques in the context of the Grid: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Experiences with GRIA — Industrial Applications on a Web Services Grid
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
A Generic QoS Infrastructure for Grid Web Services
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
A Performance Estimation Tool for Video Applications
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Guest Editors' Introduction: Application-Level QoS
IEEE Internet Computing
Performance prediction and its use in parallel and distributed computing systems
Future Generation Computer Systems - Systems performance analysis and evaluation
SLA Decomposition: Translating Service Level Objectives to System Level Thresholds
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
ISPDC '08 Proceedings of the 2008 International Symposium on Parallel and Distributed Computing
Towards SLA-Supported resource management
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
The EU-Services Directive: An eFramework to Optimize Public Administration
International Journal of Distributed Systems and Technologies
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This article deals with the problem of quality provisioning in business service-oriented environments, examining the resource selection process as an initial matching of the provided to the demanded QoS. It investigates how the application and resource characteristics affect the provided level of QoS, a relationship that intuitively exists but has not yet being mapped. To do so, it focuses on identifying the application and resource parameters that affect the customer-defined QoS parameters. The article realistically centres upon modeling a data mining application and simple PC nodes in order to study how they affect response times. It moves on, by proving the existence of these specific relations and maps them using simple artificial neural networks so as to be able to wrap them in a single mechanism for resource selection based on customer QoS requirements and real time provider QoS capabilities.