Algorithms and data structures to accelerate network analysis
نویسندگان
چکیده
منابع مشابه
Algorithms and Data Structures to Accelerate Network Analysis
As the sheer amount of computer generated data continues to grow exponentially, new bottlenecks are unveiled that require rethinking our traditional software and hardware architectures. In this paper we present five algorithms and data structures (long queue emulation, lockless bimodal queues, tail early dropping, LFN tables, and multiresolution priority queues) designed to optimize the process...
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Instructor: Shahin Kamali Lectures: 10:30-11:20 am, Mondays, Wednesdays, and Fridays in EITC E2-165 Office: E2-586 Office hours: 13:00–14:00 am Monday and 10:30–11:30 am Tuesday, in E2 586 or by appointment Email: [email protected] (allow 24 hours for response) Webpage: http://www.cs.umanitoba.ca/ kamalis/comp3170.html Piazza: We will be using Piazza for class discussion. The system is...
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Make more knowledge even in less time every day. You may not always spend your time and money to go abroad and get the experience and knowledge by yourself. Reading is a good alternative to do in getting this desirable knowledge and experience. You may gain many things from experiencing directly, but of course it will spend much money. So here, by reading algorithms and data structures design c...
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Introduction Software implementations for graph structures can represent a graph as an adjacency list or a sparse adjacency matrix. There are no standards regarding the implementation details of adjacency list or adjacency matrix structures. Notable parties propose different implementations for adjacency lists [1]. Guido van Rossum suggests using a hash table with arrays, where the arrays indic...
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ژورنال
عنوان ژورنال: Future Generation Computer Systems
سال: 2018
ISSN: 0167-739X
DOI: 10.1016/j.future.2018.04.034