Does Preprocessing Help under Congestion?

التفاصيل البيبلوغرافية
العنوان: Does Preprocessing Help under Congestion?
المؤلفون: Janne H. Korhonen, Stefan Schmid, Klaus-Tycho Foerster, Joel Rybicki
المصدر: PODC
بيانات النشر: ACM, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Large class, Computer science, 020206 networking & telecommunications, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Computer engineering, 010201 computation theory & mathematics, Distributed algorithm, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, Preprocessor, Graph algorithms, Software-defined networking
الوصف: This paper investigates the power of preprocessing in the CONGEST model. Schmid and Suomela (ACM HotSDN 2013) introduced the SUPPORTED CONGEST model to study the application of distributed algorithms in Software-Defined Networks (SDNs). In this paper, we show that a large class of lower bounds in the CONGEST model still hold in the SUPPORTED model, highlighting the robustness of these bounds. This also raises the question how much does preprocessing help in the CONGEST model
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::491fa1daee28793b4b5d2d566b0fa3e0
https://doi.org/10.1145/3293611.3331581
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........491fa1daee28793b4b5d2d566b0fa3e0
قاعدة البيانات: OpenAIRE