Title :
XOR Hashing Algorithms to Measured Flows at the High-Speed Link
Author :
Guang, Cheng ; Wei, Zhao ; Jian, Gong
Author_Institution :
Coll. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
Flow sampling algorithms and data streaming algorithms have widely adopted the hashing algorithms to detect flow information at the high-speed links for the applications of the flow distribution, the number of flow, the heavy-tailed flow, and so on. Hashing algorithms involve transforming a key inside a hash value. The hashing algorithms used in high-speed networks have some specific properties: uniformity of distribution, computation speed. In this paper, we analyze the XOR operator in the hash-based flow selection function at the high-speed links, and prove that bit XOR operator can increase the uniformity of distribution. The hashing algorithms on the XOR operate are evaluated by mathematical analysis and trace-driven experiments on CERNET.
Keywords :
IP networks; cryptography; sampling methods; statistical distributions; CERNET; IP packet; XOR hashing algorithm; data streaming algorithm; flow distribution; flow sampling algorithm; high-speed link; high-speed network; Application software; Computer networks; Computer science; Data engineering; Distributed computing; Educational institutions; Electric variables measurement; Fluid flow measurement; High-speed networks; Sampling methods;
Conference_Titel :
Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3431-2
DOI :
10.1109/FGCN.2008.110