Abstract: A method of detecting and handling anomalies in a network, including, collecting meta-data related to an environment of each organization using the network; wherein each organization deploys one or more computers connected to the network, extracting features from the meta-data, clustering organizations having common features into segments, collecting training data from all organizations, grouping the training data according to the segments, training a model for each segment with event data to detect and handle anomalies, analyzing event data of a segment with a respective model for that segment, providing a decision score responsive to the analyzing; and handling the anomaly based on the decision score.

Abstract: A method of detecting and handling anomalies in a network, including, collecting meta-data related to an environment of each organization using the network; wherein each organization deploys one or more computers connected to the network, extracting features from the meta-data, clustering organizations having common features into segments, collecting training data from all organizations, grouping the training data according to the segments, training a model for each segment with event data to detect and handle anomalies, analyzing event data of a segment with a respective model for that segment, providing a decision score responsive to the analyzing; and handling the anomaly based on the decision score.

Abstract: Technique for reducing start-up time of a computerized system comprising a computer application with a data base DB and one or more functional blocks with respective memories; the system comprises a communication network being managed by the computer application. The technique comprises providing each of said functional blocks with basic information about the communication network; updating the functional blocks about changes whenever take place in the network; updating objects in the base DB by the updated functional blocks; creating an image of at least one functional block of the blocks in a persistent memory, building a changes log and to in case of failure of the mentioned functional block, promptly restoring thereof by using the image in the persistent memory and the changes log.

Abstract: Technique for reducing start-up time of a computerized system comprising a computer application with a data base DB and one or more functional blocks with respective memories; the system comprises a communication network being managed by the computer application. The technique comprises providing each of said functional blocks with basic information about the communication network; updating the functional blocks about changes whenever take place in the network; updating objects in the base DB by the updated functional blocks; creating an image of at least one functional block of the blocks in a persistent memory, building a changes log and to in case of failure of the mentioned functional block, promptly restoring thereof by using the image in the persistent memory and the changes log.

Abstract: A method for use in a distributed system that includes a server managing a master volume of data including a plurality of static attributes and at least one dynamic attribute whose prevailing values in the master volume of data are respectively updated and not updated as a consequence of a command from a client, and at least two clients each managing a volume of data intended to mirror the master volume of data. The method provided, enables data mirroring restoration at a client freshly reconnected to the server after a communication downtime period.