In this paper, we strengthen the competitive analysis results obtained for a fundamental online streaming problem, the Frequent Items Problem. Additionally, we contribute with a more detailed analysis of this problem, using alternative performance measures, supplementing the insight gained from competitive analysis. The results also contribute to the general study of performance measures for on...

This paper applies a measurement procedure to predict the degraded state of a private cloud application using only available data center log low level derived measures (LLDM). Our intent is to improve the discussion of service level agreements of a widely used private cloud computing application (i.e. 80,000 users on 600 servers world-wide). In organizations, cloud application performance measu...

So far the focus of almost all multior many-objective performance metrics has been the convergence and distribution of solutions in the objective space (Pareto-surface). Pareto-surface metrics such as IGD, HV, and Spread are simple and provide knowledge about the overall performance of the solution set. However, these measures do not provide any insight into the distribution or spread of a solu...