Exact aggregate solutions for M/G/1-type Markov processes
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Size-based scheduling to improve web performance
ACM Transactions on Computer Systems (TOCS)
ETAQA Truncation Models for the MAP/MAP/1 Departure Process
QEST '04 Proceedings of the The Quantitative Evaluation of Systems, First International Conference
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We focus on the development of a data-driven performance engineering framework to automate the process of robust, workload-aware resource allocation and management in today's complex Internet servers. Our focus is on the development of better understanding of the workload resource demands and on the development and implementation of efficient methodologies for bottleneck identification and resource allocation at the system level. Here, we give an overview of a testbed for conducting a detailed workload characterization in multi-tiered web servers that serve dynamic pages. We present some preliminary workload characterization results that can help in identifying different resource bottlenecks and the workload conditions under which these bottlenecks are triggered. We also present preliminary results on new analytic models that one can use to model multi-tiered systems.