| Publisher | USENIX Association | ||
|---|---|---|---|
| Format | 409.0KB PDF | Date added | 01 Jun 2008 |
| Topics | Load Balancing, Processors | ||
| Downloads | 0 | ||
As Internet services become ubiquitous, the selection and management of diverse server platforms now affects the bottom line of almost every firm in every industry. Ideally, such cross-platform management would yield high performance at low cost, but in practice, the performance consequences of such decisions are often hard to predict. This paper presents an approach to guide cross-platform management for real-world Internet services. The approach is driven by a novel performance model that predicts application-level performance across changes in platform parameters, such as processor cache sizes, processor speeds, etc., and can be calibrated with data commonly available in today's production environments. The model is structured as a composition of several empirically observed, parsimonious sub-models.
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