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In many areas such as e-commerce, mission-critical N-tier applications have grown increasingly complex. They are characterized by non-stationary workloads (e.g., peak load several times the sustained load) and complex dependencies among the component servers. We have studied N-tier applications through a large number of experiments using the RUBiS and RUBBoS benchmarks. We apply statistical methods...
In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpora in our experiments contain about half a million spam messages and a similar number of legitimate messages, making them two orders of magnitude larger than the corpora used in current research. The use of such large corpora...
The need for customizable and application-specific operating systems has been recognized for many years. A customizable operating system is one that can adapt to some particular circumstance to gain some functional or performance benefits. Microkernels have attempted to address this problem, but suffer performance degradation due to the cost of inter-process protection barriers. Commercial operating...
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