Electrical computers and digital processing systems: multicomput – Computer-to-computer protocol implementing – Computer-to-computer data streaming
Reexamination Certificate
2006-12-01
2009-12-29
Flynn, Nathan (Department: 2454)
Electrical computers and digital processing systems: multicomput
Computer-to-computer protocol implementing
Computer-to-computer data streaming
C709S216000, C709S217000, C709S218000, C709S238000, C707S793000, C707S793000
Reexamination Certificate
active
07640354
ABSTRACT:
The present invention extends to methods, systems, and computer program products for scalable differential compression for network data. Network data exchanged between Wide Area Network (“WAN”) acceleration devices is cached at physical recordable-type computer-readable media having (potentially significantly) larger storage capacities than available system memory. The cached network data is indexed through features taken from a subset of the cached data (e.g., per segment) to reduce overhead associated with searching for cached network data to use for subsequent compression. When a feature match is detected between received and cached network data, the cached network data can be loaded from the physical recordable-type computer-readable media into system memory to facilitate data compression between Wide Area Network (“WAN”) acceleration devices more efficiently.
REFERENCES:
patent: 2002/0156785 (2002-10-01), Kumar et al.
patent: 2005/0262167 (2005-11-01), Teodosiu et al.
patent: 2006/0047855 (2006-03-01), Gurevich et al.
patent: 2006/0184652 (2006-08-01), Teodosiu et al.
patent: 2006/0271540 (2006-11-01), Williams
patent: 2006/0271559 (2006-11-01), Stavrakos et al.
patent: 2006/0277178 (2006-12-01), Wang
patent: 2007/0198710 (2007-08-01), Gopalakrishnan
patent: 2007/0203909 (2007-08-01), Marathe
patent: 2007/0276836 (2007-11-01), Chatterjee et al.
patent: 2008/0114859 (2008-05-01), Orzen
Bjorner Nikolaj Skallerud
Fujiwara Guilherme Issao Camarinha
Manasse Mark Steven
Flynn Nathan
Khan Aftab Nasir
Microsoft Corporation
Workman Nydegger
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