Abstract: The present invention is directed towards systems and methods for providing discovery of applications for classification of a network packet for performing QoS and acceleration techniques. Remote display protocol traffic associated with a new application not previously included in a list of predetermined applications may be parsed for application information, and the new application may be added to the application list. The remote display protocol traffic may then be classified according to the new application, and network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the newly identified application.

Abstract: The present invention is directed towards systems and methods for providing classification of an encrypted network packet for performing QoS and acceleration techniques. Encrypted packets may be classified by a first classifier at a first portion of a network stack of a device as corresponding to a first predetermined application, and an application identifier may be included with the packet. In some embodiments, the packets may be decrypted in an order dependent on a first classification of the encrypted network packet. After decryption, packets may be reclassified as corresponding to a second predetermined application by a second classifier operating at a second portion of a network stack of the device above the first portion. Thus, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the application, while avoiding inefficiencies due to a lack of prioritization of decryption.

Abstract: The present invention is directed towards systems and methods for providing discovery of applications for classification of a network packet for performing QoS and acceleration techniques. Remote display protocol traffic associated with a new application not previously included in a list of predetermined applications may be parsed for application information, and the new application may be added to the application list. The remote display protocol traffic may then be classified according to the new application, and network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the newly identified application.

Abstract: The present invention is directed towards systems and methods for providing multi-level classification of a network packet. In some embodiments, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information. In addition to source and destination IP addresses and port numbers, packet- or data-specific information can include direction of traffic (client to host or server; server or host to client; or both), Virtual LAN (VLAN) ID, source or destination application or associated application, service class, ICA priority, type of service, differentiated service code point (DSCP), or other information. Some or all of this information may be used to classify the network packet at a plurality of layers of a network stack, allowing for deep inspection of the packet and multiple levels of granularity of classification.

Abstract: The present invention is directed towards systems and methods for providing discovery of applications for classification of a network packet for performing QoS and acceleration techniques. Remote display protocol traffic associated with a new application not previously included in a list of predetermined applications may be parsed for application information, and the new application may be added to the application list. The remote display protocol traffic may then be classified according to the new application, and network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the newly identified application.

Abstract: The present invention is directed towards systems and methods for providing multi-level classification of a network packet. In some embodiments, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information. In addition to source and destination IP addresses and port numbers, packet- or data-specific information can include direction of traffic (client to host or server; server or host to client; or both), Virtual LAN (VLAN) ID, source or destination application or associated application, service class, ICA priority, type of service, differentiated service code point (DSCP), or other information. Some or all of this information may be used to classify the network packet at a plurality of layers of a network stack, allowing for deep inspection of the packet and multiple levels of granularity of classification.

Abstract: The present invention is directed towards systems and methods for providing multi-level classification of a network packet. In some embodiments, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information. In addition to source and destination IP addresses and port numbers, packet- or data-specific information can include direction of traffic (client to host or server; server or host to client; or both), Virtual LAN (VLAN) ID, source or destination application or associated application, service class, ICA priority, type of service, differentiated service code point (DSCP), or other information. Some or all of this information may be used to classify the network packet at a plurality of layers of a network stack, allowing for deep inspection of the packet and multiple levels of granularity of classification.

Abstract: The present invention is directed towards systems and methods for providing classification of an encrypted network packet for performing QoS and acceleration techniques. Encrypted packets may be classified by a first classifier at a first portion of a network stack of a device as corresponding to a first predetermined application, and an application identifier may be included with the packet. In some embodiments, the packets may be decrypted in an order dependent on a first classification of the encrypted network packet. After decryption, packets may be reclassified as corresponding to a second predetermined application by a second classifier operating at a second portion of a network stack of the device above the first portion. Thus, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the application, while avoiding inefficiencies due to a lack of prioritization of decryption.

Abstract: The present invention is directed towards systems and methods for providing classification of an encrypted network packet for performing QoS and acceleration techniques. Encrypted packets may be classified by a first classifier at a first portion of a network stack of a device as corresponding to a first predetermined application, and an application identifier may be included with the packet. In some embodiments, the packets may be decrypted in an order dependent on a first classification of the encrypted network packet. After decryption, packets may be reclassified as corresponding to a second predetermined application by a second classifier operating at a second portion of a network stack of the device above the first portion. Thus, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the application, while avoiding inefficiencies due to a lack of prioritization of decryption.

Abstract: The present invention is directed towards systems and methods for providing Quality of Service (QoS) via a flow controlled tunnel. Traffic from a plurality of applications may be directed into a single connection or flow-controlled tunnel and QoS policies may be applied across the plurality of applications without configuration of individual link speeds, enabling QoS scheduling to dynamically adjust traffic transmission and reception rates to ensure priority management of applications regardless of a final endpoint of the application communications. Accordingly, traffic of different types, including VPN, HTTP, Voice-over-IP (VoIP), remote desktop protocol traffic, or other traffic may be easily balanced and prioritized. In many embodiments, the tunnel may be transparent to applications, such that without any application configuration, application traffic may still be prioritized by QoS requirements.

Abstract: The present invention is directed towards systems and methods for providing Quality of Service (QoS) via a flow controlled tunnel. Traffic from a plurality of applications may be directed into a single connection or flow-controlled tunnel and QoS policies may be applied across the plurality of applications without configuration of individual link speeds, enabling QoS scheduling to dynamically adjust traffic transmission and reception rates to ensure priority management of applications regardless of a final endpoint of the application communications. Accordingly, traffic of different types, including VPN, HTTP, Voice-over-IP (VoIP), remote desktop protocol traffic, or other traffic may be easily balanced and prioritized. In many embodiments, the tunnel may be transparent to applications, such that without any application configuration, application traffic may still be prioritized by QoS requirements.

Abstract: The present invention is directed towards systems and methods for providing classification of an encrypted network packet for performing QoS and acceleration techniques. Encrypted packets may be classified by a first classifier at a first portion of a network stack of a device as corresponding to a first predetermined application, and an application identifier may be included with the packet. In some embodiments, the packets may be decrypted in an order dependent on a first classification of the encrypted network packet. After decryption, packets may be reclassified as corresponding to a second predetermined application by a second classifier operating at a second portion of a network stack of the device above the first portion. Thus, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the application, while avoiding inefficiencies due to a lack of prioritization of decryption.

Abstract: The present invention is directed towards systems and methods for providing discovery of applications for classification of a network packet for performing QoS and acceleration techniques. Remote display protocol traffic associated with a new application not previously included in a list of predetermined applications may be parsed for application information, and the new application may be added to the application list. The remote display protocol traffic may then be classified according to the new application, and network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information corresponding to the newly identified application.

Abstract: The present invention is directed towards systems and methods for providing multi-level classification of a network packet. In some embodiments, network performance may be enhanced and optimized by providing QoS and acceleration engines with packet- or data-specific information. In addition to source and destination IP addresses and port numbers, packet- or data-specific information can include direction of traffic (client to host or server; server or host to client; or both), Virtual LAN (VLAN) ID, source or destination application or associated application, service class, ICA priority, type of service, differentiated service code point (DSCP), or other information. Some or all of this information may be used to classify the network packet at a plurality of layers of a network stack, allowing for deep inspection of the packet and multiple levels of granularity of classification.