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    • 1. 发明授权
    • Asymmetric end host redundancy elimination for networks
    • 网络不对称终端主机冗余消除
    • US09083708B2
    • 2015-07-14
    • US12781782
    • 2010-05-17
    • Ramachandran RamjeeBhavish AggarwalPushkar ChitnisGeorge VargheseAshok AnandChitra MuthukrishnanAthula Balachandran
    • Ramachandran RamjeeBhavish AggarwalPushkar ChitnisGeorge VargheseAshok AnandChitra MuthukrishnanAthula Balachandran
    • G06F15/16H04L29/08
    • H04L67/1002
    • An end host redundancy elimination system and method to provide redundancy elimination as an end system service. Embodiments of the system and method use optimization techniques that reduce server central processing unit (CPU) load and memory footprint as compared to existing approaches. For server storage, embodiments of the system and method use a suite of highly-optimized data structures for managing metadata and cached payloads. An optimized asymmetric max-match technique exploits the inherent structure in data maintained at the server and client and ensures that client processing load is negligible. A load-adaptive fingerprinting technique is used that is much faster than current fingerprinting techniques while still delivering similar compression. Load-adaptive means that embodiments of the fingerprinting technique can adapt CPU usage depending on server load. Embodiments of the system and method operate above the transmission control protocol (TCP) layer, thereby reducing the number of roundtrips needed for data transfer.
    • 终端主机冗余消除系统和方法,作为终端系统服务提供冗余消除。 与现有方法相比,系统和方法的实施例使用减少服务器中央处理单元(CPU)负载和存储器占用的优化技术。 对于服务器存储,系统和方法的实施例使用一组高度优化的数据结构来管理元数据和高速缓存的有效载荷。 优化的非对称最大匹配技术利用了在服务器和客户机上维护的数据的固有结构,并确保客户端处理负载可以忽略不计。 使用比当前指纹技术更快的负载自适应指纹技术,同时仍然提供类似的压缩。 负载自适应意味着指纹技术的实施例可以根据服务器负载来调整CPU使用。 系统和方法的实施例在传输控制协议(TCP)层之上操作,从而减少数据传输所需的往返次数。
    • 2. 发明申请
    • ASYMMETRIC END HOST REDUNDANCY ELIMINATION FOR NETWORKS
    • 不平等的终端主机对网络的排除
    • US20110282932A1
    • 2011-11-17
    • US12781782
    • 2010-05-17
    • Ramachandran RamjeeBhavish AggarwalPushkar ChitnisGeorge VargheseAshok AnandChitra MuthukrishnanAthula Balachandran
    • Ramachandran RamjeeBhavish AggarwalPushkar ChitnisGeorge VargheseAshok AnandChitra MuthukrishnanAthula Balachandran
    • G06F15/16
    • H04L67/1002
    • An end host redundancy elimination system and method to provide redundancy elimination as an end system service. Embodiments of the system and method use optimization techniques that reduce server central processing unit (CPU) load and memory footprint as compared to existing approaches. For server storage, embodiments of the system and method use a suite of highly-optimized data structures for managing metadata and cached payloads. An optimized asymmetric max-match technique exploits the inherent structure in data maintained at the server and client and ensures that client processing load is negligible. A load-adaptive fingerprinting technique is used that is much faster than current fingerprinting techniques while still delivering similar compression. Load-adaptive means that embodiments of the fingerprinting technique can adapt CPU usage depending on server load. Embodiments of the system and method operate above the transmission control protocol (TCP) layer, thereby reducing the number of roundtrips needed for data transfer.
    • 终端主机冗余消除系统和方法,作为终端系统服务提供冗余消除。 与现有方法相比,系统和方法的实施例使用减少服务器中央处理单元(CPU)负载和存储器占用的优化技术。 对于服务器存储,系统和方法的实施例使用一组高度优化的数据结构来管理元数据和缓存的有效载荷。 优化的非对称最大匹配技术利用了在服务器和客户机上维护的数据的固有结构,并确保客户端处理负载可以忽略不计。 使用比当前指纹技术更快的负载自适应指纹技术,同时仍然提供类似的压缩。 负载自适应意味着指纹技术的实施例可以根据服务器负载来调整CPU使用。 系统和方法的实施例在传输控制协议(TCP)层之上操作,从而减少数据传输所需的往返次数。