Abstract: Methods, non-transitory computer readable media and application management apparatuses, and application management systems that secure one or more entitlement grants includes transmitting a registration license request encrypted with a first public key to a license server. The registration license request comprises a registration identifier and a second public key. A registration license response is received from the license server. The registration license response comprises one or more license entitlement grants, the second public key, and a first secure signature encrypted with a first private key. The one or more license entitlement grants are authenticated when the first decrypted secure signature matches the first check signature.

Abstract: A method, non-transitory computer readable medium, and traffic management computing device that obtains one or more parameters for a packet. Firewall policies each corresponding to a logical firewall are applied to the parameters for the packet. A policy log for each of at least a subset of the firewall policies or a hit count for one or more of rules in an access list of each of the subset of the firewall policies is generated. The policy log includes an indication of one or more actions corresponding to at least one rule in the access list of each of the subset of the firewall policies, wherein the at least one rule matches one or more of the parameters of the packet. At least one of the generated policy log or hit counts for one or more of the at least a subset of the firewall policies is output.

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 system and method for reducing latency when re-routing at least partial client communications from a first, active data center site to a second data center site due to a virtualization service disruption. Configuration data is imported from the first file virtualization device, wherein the configuration data represents object relationships and mapping information between components in the first data center site and the second data center site. An instruction is received for the back-up file virtualization device to begin handling at least one virtualization service that is disrupted at the first data center site. A most recent import of the configuration data is loaded for the one or more disrupted virtualization services and enabled such that the back-up file virtualization device performs the disrupted virtualization service with one or more storage devices in the second data center site using the at least a portion of the imported configuration data.

Abstract: A proxy (e.g., a switch) resides in a respective network environment between one or more clients and multiple servers. One purpose of the proxy is to provide the clients a unified view of a distributed file system having respective data stored amongst multiple remote and disparate storage locations over a network. Another purpose of the proxy is to enable the clients to retrieve data stored at the multiple servers. To establish a first connection between the proxy and a respective client, the proxy communicates with an authentication agent (residing at a location other than at the client) to verify a challenge response received from the client. When establishing a set of second connections with the multiple servers, the proxy communicates with the authentication agent to generate challenge responses on behalf of the client. The proxy facilitates a flow of data on the first connection and the set of second connections.

Abstract: A method, computer readable medium, and a system for reconstituting a virtual snapshot of files in a file virtualization system includes forming at a file virtualization device a virtual snapshot that includes a plurality of physical snapshots associated with one or more file storage devices participating in the virtual snapshot, receiving a request for performing an operation on one or more physical snapshots in the plurality of physical snapshots, providing the one or more physical snapshots in response to the request for performing the operation when the one or more physical snapshots exists in the virtual snapshot, and reconstituting the virtual snapshot by including the one or more physical snapshots to form a reconstituted virtual snapshot in response to the request for performing the operation when the one or more physical snapshots do not exist in the virtual snapshot.

Abstract: A method, computer readable medium, and a system for reconstituting a virtual snapshot of files in a file virtualization system includes forming at a file virtualization device a virtual snapshot that includes a plurality of physical snapshots associated with one or more file storage devices participating in the virtual snapshot, receiving a request for performing an operation on one or more physical snapshots in the plurality of physical snapshots, providing the one or more physical snapshots in response to the request for performing the operation when the one or more physical snapshots exists in the virtual snapshot, and reconstituting the virtual snapshot by including the one or more physical snapshots to form a reconstituted virtual snapshot in response to the request for performing the operation when the one or more physical snapshots do not exist in the virtual snapshot.

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, computer readable medium, and a system for reconstituting a virtual snapshot of files in a file virtualization system includes forming at a file virtualization device a virtual snapshot that includes a plurality of physical snapshots associated with one or more file storage devices participating in the virtual snapshot, receiving a request for performing an operation on one or more physical snapshots in the plurality of physical snapshots, providing the one or more physical snapshots in response to the request for performing the operation when the one or more physical snapshots exists in the virtual snapshot, and reconstituting the virtual snapshot by including the one or more physical snapshots to form a reconstituted virtual snapshot in response to the request for performing the operation when the one or more physical snapshots do not exist in the virtual snapshot.

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.

Abstract: Methods and apparatus provide an adaptive load balancer that presents a virtual data system to client computer systems. The virtual data system provides access to an aggregated set of data, such as files or web service objects, available from a plurality of server data systems respectively operating within a plurality of server computer systems. The adaptive load balancer receives a client data access transaction from a client computer system that specifies a data access operation to be performed relative to the virtual data system presented to the client computer system. The adaptive load balancer processes the client data access transaction in relation to metadata associated with the virtual data system to provide access to the file or service object within a server computer system, or to access the metadata.

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 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.