Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: An apparatus and method to distribute applications and services in and throughout a network and to secure the network includes the functionality of a switch with the ability to apply applications and services to received data according to respective subscriber profiles. Front-end processors, or Network Processor Modules (NPMs), receive and recognize data flows from subscribers, extract profile information for the respective subscribers, utilize flow scheduling techniques to forward the data to applications processors, or Flow Processor Modules (FPMs). The FPMs utilize resident applications to process data received from the NPMs. A Control Processor Module (CPM) facilitates applications processing and maintains connections to the NPMs, FPMs, local and remote storage devices, and a Management Server (MS) module that can monitor the health and maintenance of the various modules.

Abstract: Methods and systems for flow processing and switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security are described. Such flow processing facilities may be used for inspecting network traffic packet payloads to detect security threats and intrusions across accessible layers of the network IP stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources.