Measuring computer performance: a practitioner's guide
Measuring computer performance: a practitioner's guide
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Performance debugging for distributed systems of black boxes
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
An analytical model for multi-tier internet services and its applications
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A performance analysis method for autonomic computing systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Performance modeling and system management for multi-component online services
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Exploiting nonstationarity for performance prediction
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Situated Decision Support for Managing Service Level Agreement Negotiations
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
Green IT: Reduce Your Information System's Environmental Impact While Adding to the Bottom Line
Green IT: Reduce Your Information System's Environmental Impact While Adding to the Bottom Line
The Green and Virtual Data Center
The Green and Virtual Data Center
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
Proceedings of the 18th ACM international symposium on High performance distributed computing
Experimental evaluation of N-tier systems: Observation and analysis of multi-bottlenecks
IISWC '09 Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC)
Datacenter Investment Support System (DAISY)
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Bottleneck detection using statistical intervention analysis
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Taxonomy of grid business models
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Proceedings of the 2010 ACM Symposium on Applied Computing
Automated control for elastic n-tier workloads based on empirical modeling
Proceedings of the 8th ACM international conference on Autonomic computing
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Configuration planning for modern information systems is a highly challenging task due to the implications of various factors such as the cloud paradigm, multi-bottleneck workloads, and Green IT efforts. Nonetheless, there is currently little or no support to help decision makers find sustainable configurations that are systematically designed according to economic principles (e.g., profit maximization). This paper explicitly addresses this shortcoming and presents a novel approach to configuration planning in clouds based on empirical data. The main contribution of this paper is our unique approach to configuration planning based on an iterative and interactive data refinement process. More concretely, our methodology correlates economic goals with sound technical data to derive intuitive domain insights. We have implemented our methodology as the CloudXplor Tool to provide a proof of concept and exemplify a concrete use case. CloudXplor, which can be modularly embedded in generic resource management frameworks, illustrates the benefits of empirical configuration planning. In general, this paper is a working example on how to navigate large quantities of technical data to provide a solid foundation for economical decisions.