Abstract: A backup system is described for prioritizing backup data in enterprise networks. Messages containing data to be backed up are received at a backup server from endpoint devices and a priority value is determined for each message based on numerous factors, such as the organizational role of the user of the endpoint, the time since last backup, average upload speed, frequency of backups, and other properties. The system prioritizes backing up of messages based on the priority value of the messages.

Abstract: A network element is provided, configured to operate in an IP-based communication network and to manage resources in that communication network which are being utilized by a software application. The management of these resources is carried out by the network element (e.g. a router) through affecting changes in these resources in response to obtaining information retrieved from an application program interface (API) associated with the software application, such as for example, values of key performance indicators (KPIs) associated with the software application.

Abstract: A parallel-processing computer system is provided for parallel processing of data packets conveyed in a communication network. The system comprises: a memory; a plurality of processing elements; and a program stored at the memory for execution by the plurality of processing elements.

Abstract: A sub-system is described which is operative to be used as a virtual Provider Edge (v PE) cluster of an SDN communication system. The sub-system comprises a plurality of network elements, wherein the v PE cluster further comprises one or more virtual routing engines for routing traffic to/from the plurality of network elements, the one or more virtual routing engines are configured to communicate with a managing entity and with a plurality of virtual forwarding engines, and wherein the managing entity is configured to manage operation of the one or more virtual routing engines and the plurality of virtual forwarding engines. According to another aspect, the sub-system comprises a plurality of network elements and a managing entity, wherein the network elements having each one or more ports to convey traffic therethrough, and wherein at least one of the ports associated with the sub-system is configured to serve a plurality of customers.

Abstract: An SDN communication system comprising a plurality of White Boxes and a plurality of servers, characterized in that all traffic to/from a plurality of mobile elements, to/from a plurality of broadband communication elements and to/from enterprises, is forwarded after it has been re-arranged based on pre-defined criteria via a single unified cloud, and wherein the unified cloud extends from a plurality of users to a core network, covering a Last Mile network, a Metro network and an Edge network.

Abstract: A network element is provided, configured to operate in an IP-based communication network and to manage resources in that communication network which are being utilized by a software application. The management of these resources is carried out by the network element (e.g. a router) through affecting changes in these resources in response to obtaining information retrieved from an application program interface (API) associated with the software application, such as for example, values of key performance indicators (KPIs) associated with the software application.

Abstract: An SDN communication system comprising a plurality of White Boxes and a plurality of servers, characterized in that all traffic to/from a plurality of mobile elements, to/from a plurality of broadband communication elements and to/from enterprises, is forwarded after it has been re-arranged based on pre-defined criteria via a single unified cloud, and wherein the unified cloud extends from a plurality of users to a core network, covering a Last Mile network, a Metro network and an Edge network.

Abstract: A parallel-processing computer system is provided for parallel processing of data packets conveyed in a communication network. The system comprises: a memory; a plurality of processing elements; and a program stored at the memory for execution by the plurality of processing elements.

Abstract: A sub-system is described which is operative to be used as a virtual Provider Edge (v PE) cluster of an SDN communication system. The sub-system comprises a plurality of network elements, wherein the v PE cluster further comprises one or more virtual routing engines for routing traffic to/from the plurality of network elements, the one or more virtual routing engines are configured to communicate with a managing entity and with a plurality of virtual forwarding engines, and wherein the managing entity is configured to manage operation of the one or more virtual routing engines and the plurality of virtual forwarding engines. According to another aspect, the sub-system comprises a plurality of network elements and a managing entity, wherein the network elements having each one or more ports to convey traffic therethrough, and wherein at least one of the ports associated with the sub-system is configured to serve a plurality of customers.

Abstract: Distributing an update from a server to multiple endpoint devices that reside on the same local network. The server provides information to each client device identifying all other devices located on the same local network that will also need to receive the update. Each client device sorts the files and begins the process of downloading the files by checking, for each file in sequence, whether another device on the same network has downloaded the file or is currently in the process of downloading. If another device on the same network has completed downloading the file, the device requests the file from the other client device. If another device is currently in the process of downloading, the device places the file at the end of the sequence. If the file has not been downloaded and is not being downloaded, the endpoint device initiates downloading the file from the server.

Abstract: Techniques are described for reducing I/O operations and storage capacity requirements for centralized backup storage systems. A central server optimizes the collection and centralization of backup data from a number of endpoint devices for backup purposes. The central server utilizes a single instance store and a persistent files cache to minimize the number of backup copies for each non-unique file, reduce storage usage, network traffic, memory footprint and CPU cycles required to identify and process non-unique data. For each file in the single instance store, the server tracks the source device of that file until a threshold number of devices have been reached. Once the file reaches the threshold number of sources, the file is marked as persistent and its hash value is placed in the persistent files cache. Thereafter, all pointer creation and reference counting for that file cease.

Abstract: Techniques are described for reducing I/O operations and storage capacity requirements for centralized backup storage systems. A central server optimizes the collection and centralization of backup data from a number of endpoint devices for backup purposes. The central server utilizes a single instance store and a persistent files cache to minimize the number of backup copies for each non-unique file, reduce storage usage, network traffic, memory footprint and CPU cycles required to identify and process non-unique data. For each file in the single instance store, the server tracks the source device of that file until a threshold number of devices have been reached. Once the file reaches the threshold number of sources, the file is marked as persistent and its hash value is placed in the persistent files cache. Thereafter, all pointer creation and reference counting for that file cease.

Abstract: Techniques are described for reducing I/O operations and storage capacity requirements for centralized backup storage systems. A central server optimizes the collection and centralization of backup data from a number of endpoint devices for backup purposes. The central server utilizes a single instance store and a persistent files cache to minimize the number of backup copies for each non-unique file, reduce storage usage, network traffic, memory footprint and CPU cycles required to identify and process non-unique data. For each file in the single instance store, the server tracks the source device of that file until a threshold number of devices have been reached. Once the file reaches the threshold number of sources, the file is marked as persistent and its hash value is placed in the persistent files cache. Thereafter, all pointer creation and reference counting for that file cease.

Abstract: A backup system is described for prioritizing backup data in enterprise networks. Messages containing data to be backed up are received at a backup server from endpoint devices and a priority value is determined for each message based on numerous factors, such as the organizational role of the user of the endpoint, the time since last backup, average upload speed, frequency of backups, and other properties. The system prioritizes backing up of messages based on the priority value of the messages.

Abstract: Distributing an update from a server to multiple endpoint devices that reside on the same local network. The server provides information to each client device identifying all other devices located on the same local network that will also need to receive the update. Each client device sorts the files and begins the process of downloading the files by checking, for each file in sequence, whether another device on the same network has downloaded the file or is currently in the process of downloading. If another device on the same network has completed downloading the file, the device requests the file from the other client device. If another device is currently in the process of downloading, the device places the file at the end of the sequence. If the file has not been downloaded and is not being downloaded, the endpoint device initiates downloading the file from the server.

Abstract: Techniques are described for reducing I/O operations and storage capacity requirements for centralized backup storage systems. A central server optimizes the collection and centralization of backup data from a number of endpoint devices for backup purposes. The central server utilizes a single instance store and a persistent files cache to minimize the number of backup copies for each non-unique file, reduce storage usage, network traffic, memory footprint and CPU cycles required to identify and process non-unique data. For each file in the single instance store, the server tracks the source device of that file until a threshold number of devices have been reached. Once the file reaches the threshold number of sources, the file is marked as persistent and its hash value is placed in the persistent files cache. Thereafter, all pointer creation and reference counting for that file cease.

Abstract: An improved system and method of measuring and evaluating a distributed denial of services (DDOS) attack includes arranging for a DDoS attack by engaging a network provider offering malicious services to attack a honeypot computerized device. The honeypot includes a packet sniffer used to measure the values of parameters of the DDoS attack useful in determining the method of attack, the origin and extent of the attack, in calculating methods for early determination that a DDoS attack is occurring, and methods of countering this type of DDoS attack before it occurs.