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Success of Cloud computing requires that both customers and providers can be confident that signed Service Level Agreements (SLA) are supporting their respective business activities to their best
extent. Currently used SLAs fail in providing such confidence, especially
when providers outsource resources to other providers. These resource providers typically support very simple metrics, or metrics that hinder an efficient exploitation of their resources.
In this paper, we propose a resource-level metric for specifying finegrain guarantees on CPU performance. This metric allows resource providers to allocate dynamically their resources among the running services
depending on their demand. This is accomplished by incorporating the customer’s CPU usage in the metric definition, but avoiding fake SLA violations when the customer’s task does not use all its allocated resources. As demonstrated in our evaluation, which has been conducted in a virtualized provider where we have implemented the needed infrastructure for using our metric, our solution presents fewer SLA violations than other CPU-related metrics.
CitationGoiri, I. [et al.]. Resource-level QoS metric for CPU-based guarantees in cloud providers. A: Workshop on Economic Models and Algorithms for Grid Systems. "7th International Workshop on Economics of Grids, Clouds, Systems, and Services (GECON 2010)". Ischia: Springer Verlag, 2010, p. 34-47.
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