To enable bandwidth-efficient temporal isolation of time critical scheduled traffic, an approach for frame preemption was defined in IEEE 802.3br and 802.1Qbu amendments. However, the proposed solution only offers single-level preemption, which means that low-priority frames can still hinder transmission of other, possibly more important frames. In this paper, we discuss implementation aspects of multi-level frame preemption paradigm, an extension of the original mechanism, aimed at providing an opportunity for frames with firm timing requirements, yet not qualified as scheduled traffic, to benefit from preventing interference caused by low-priority frames. We propose a scalable architecture that is suitable for implementation both on ASIC (Application-Specific Integrated Circuit) and FPGA (Field-Programmable Gate Array) platforms.

Extracting and processing information from Web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. A common approach in the extraction process is to represent a page as a "bag of words" and then to perform additional processing on such a flat representation. We propose a new, hierarchical representation that includes browser screen coordinates for every HTML object in a page. Using visual information one is able to define heuristics for the recognition of common page areas such as header, left and right menu, footer and center of a page. We show in initial experiments that using our heuristics defined objects are recognized properly in 73% of cases. Finally, we show that a Naive Bayes classifier, taking into account the proposed representation, clearly outperforms the same classifier using only information about the content of documents.