The elasticity promised by cloud computing does not come for free. Providers need to reserve resources to allow users to scale on demand, and cope with workload variations, which results in low utilization. The current response to this low utilization is to re-sell unused resources with no Service Level Objectives (SLOs) for availability. In this paper, we show how to make some of these reclaimable resources more valuable by providing strong, long-term availability SLOs for them. These SLOs are based on forecasts of how many resources will remain unused during multi-month periods, so users can do capacity planning for their long-running services. By using confidence levels for the predictions, we give service providers control over the risk of violating the availability SLOs, and allow them trade increased risk for more resources to make available. We evaluated our approach using 45 months of workload data from 6 production clusters at Google, and show that 6-17% of the resources can be reoffered with a long-term availability of 98.9% or better. A conservative analysis shows that doing so may increase the profitability of selling reclaimed resources by 22-60%.

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The genus Capsicum comprises a wide variety of peppers and peppers, with different sizes, colors and flavors. The present work had the objective to characterize and evaluate the genetic divergence among eight accessions of pepper (Capsicum annuum). The experiment was developed at the Federal University of Paraíba, Areia - PB. Eight accessions of pepper belonging to the germplasm bank of the CCA-UFPB were used. The experimental design was completely randomized. Data were submitted to analysis of variance by the F test at a level of 5% and 1% significance and the means were grouped by the Scott Knott test at 5% and 1% significance. For the analysis of genetic divergence, the Tocher grouping method and canonical variables were used. The treatment effects were significant, by the F test, at a level of 1% for all the characteristics evaluated, except for crown width and stem diameter, which were significant at 5% probability. According to the results obtained in the Scott & Knott test at 5% and 1% probability, the accessions were differentiated into two to six different classes. According to Tocher’s methodology the accessions were grouped into two groups. In the analysis of the canonical variables, the first three variables explained 94.18% of the total variance, and four different groups were formed according to the graphical dispersion.

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