Abstract: A data storage management layer comprises computing device(s), operatively connected to storage resources, which comprise data storage units and control units. The data storage management layer is operatively connected to the storage resources. They are operatively connected to host computers. A sub-set of the storage resources are assigned to each host, in order to provide storage services according to performance requirements predefined for the host, thereby generating Virtual Private Arrays (VPA). The computing device(s) are configured to perform a method of managing the data storage system comprising: (a) implement storage management strategies, comprising rules. The rules comprise conditions and actions. The actions are capable of improving VPA performance in a dynamic manner; (b) repetitively performing: (i) monitor VPA performance for detection of compliance of VPA with the condition(s); and (ii) responsive to detection of compliance of VPA with the condition(s), performing the action(s).

Abstract: A data storage management layer comprises computing device(s), operatively connected to storage resources, which comprise data storage units and control units. The data storage management layer is operatively connected to the storage resources. They are operatively connected to host computers. A sub-set of the storage resources are assigned to each host, in order to provide storage services according to performance requirements predefined for the host, thereby generating Virtual Private Arrays (VPA). The computing device(s) are configured to perform a method of managing the data storage system comprising: (a) implement storage management strategies, comprising rules. The rules comprise conditions and actions. The actions are capable of improving VPA performance in a dynamic manner; (b) repetitively performing: (i) monitor VPA performance for detection of compliance of VPA with the condition(s); and (ii) responsive to detection of compliance of VPA with the condition(s), performing the action(s).

Abstract: A data storage management layer comprises computing device(s), operatively connected to storage resources, which comprise data storage units and control units. The data storage management layer is operatively connected to the storage resources. They are operatively connected to host computers. A sub-set of the storage resources are assigned to each host, in order to provide storage services according to performance requirements predefined for the host, thereby generating Virtual Private Arrays (VPA). The computing device(s) are configured to perform a method of managing the data storage system comprising: (a) implement storage management strategies, comprising rules. The rules comprise conditions and actions. The actions are capable of improving VPA performance in a dynamic manner; (b) repetitively performing: (i) monitor VPA performance for detection of compliance of VPA with the condition(s); and (ii) responsive to detection of compliance of VPA with the condition(s), performing the action(s).

Abstract: A data storage management layer comprises computing device(s), operatively connected to storage resources, which comprise data storage units and control units. The data storage management layer is operatively connected to the storage resources. They are operatively connected to host computers. A sub-set of the storage resources are assigned to each host, in order to provide storage services according to performance requirements predefined for the host, thereby generating Virtual Private Arrays (VPA). The computing device(s) are configured to perform a method of managing the data storage system comprising: (a) implement storage management strategies, comprising rules. The rules comprise conditions and actions. The actions are capable of improving VPA performance in a dynamic manner; (b) repetitively performing: (i) monitor VPA performance for detection of compliance of VPA with the condition(s); and (ii) responsive to detection of compliance of VPA with the condition(s), performing the action(s).

Abstract: A system and methods for detecting, forecasting, and alerting of flash flooding conditions. Multiple video cameras are deployed in open areas over a region, each of which monitors a visible marker affixed to a ground-level surface such as a street or road. Surface water over a marker alters the visible characteristics thereof, which are captured by the camera monitoring the marker. Camera output is processed by video analytics and machine vision techniques to analyze the changes in visibility, which are compared against pre-existing reference data related to flash flooding, to extract indicia of flash flooding. Results derived from multiple cameras over the region are correlated to detect patterns indicative of flash flooding, and appropriate reports, alerts, and warnings are issued.

Abstract: A system for face recognition includes a mobile camera that is configured to be carried in a concealed manner by a user. A processor is in communication with the camera and is configured to apply face recognition to an image that is obtained from the camera. The processor is further configured to determine if a notification is to be issued and to issue a notification to a notification device.

Abstract: A surveillance method includes incorporating competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.

Abstract: System and method for central managing of network and storage resources by dynamically receiving over a network bit rate parameters related to video processing units of one or more edge devices and dynamically adjusting a bit rate of one of the processing units based on required bit rates of the processing units and bandwidth limitations of the network. The system and method may further include dynamically receiving storage parameters related to internal storage units of the edge devices and to external storage units coupled to the edge devices and instructing one of the edge devices where to store the video data based on the storage parameters and bandwidth limitations of the network.

Abstract: System and method for central managing of network and storage resources by dynamically receiving over a network bit rate parameters related to video processing units of one or more edge devices and dynamically adjusting a bit rate of one of the processing units based on required bit rates of the processing units and bandwidth limitations of the network. The system and method may further include dynamically receiving storage parameters related to internal storage units of the edge devices and to external storage units coupled to the edge devices and instructing one of the edge devices where to store the video data based on the storage parameters and bandwidth limitations of the network.

Abstract: A data streaming system comprises: one or more streaming sources, one or more streaming clients, a network connecting said streaming sources and said clients, and a level of service selector able for each data stream to monitor the network, the respective streaming source and the respective streaming client to control streaming to the respective streaming client to define a level of service of the data stream. For a video stream the level of service may define the frame rate, the resolution, the overall quality or a level of masking used.

Abstract: A data streaming system comprises: one or more streaming sources, one or more streaming clients, a network connecting said streaming sources and said clients, and a level of service selector able for each data stream to monitor the network, the respective streaming source and the respective streaming client to control streaming to the respective streaming client to define a level of service of the data stream. For a video stream the level of service may define the frame rate, the resolution, the overall quality or a level of masking used.