Although computers are widely used to simulate complex physical systems, crafting the underlying models that enable computer analysis remains difficult. When a model is created fo...
Network performance analysis relies mainly on two models: a workload model and a performance model. This paper proposes to use histograms for characterising the arrival workloads ...
Mobile sensing is difficult without power. Emerging Computational RFIDs (CRFIDs) provide both sensing and generalpurpose computation without batteries--instead relying on small ca...
Jeremy Gummeson, Shane S. Clark, Kevin Fu, Deepak ...
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...