Abstract: Systems and methods are provided for dynamically balancing workloads among data flow processors based on flow characteristics of data flows. The system determines a flow characteristic score associated with the data flow based on results from deep packet inspection of data packets in the data flow. The system further determines load scores associated with a plurality of processors. A load balancer of the system selects a processor among the plurality of processors for processing the data flow based on the flow characteristic score associated with the data flow. The system monitors workload levels of respective processors by periodically receiving performance data associated with the respective processors. The performance data includes flow characteristic scores of data flows being processed. Based on the current status of the workload distribution among the plurality of processors, the system regenerates load scores and re-balancing the workloads by re-distributing data flows to the respective processors.

Abstract: An internal flow traffic controller of a multi-core processing system redirects packets among a plurality of processing cores with stateful flow awareness. The packets belong to flows of network traffic at a packet forwarding node of a 5G network or beyond. The internal flow traffic controller may include a memory storing computer-executable instructions; and a processor configured to execute the computer-executable instructions. The internal flow traffic controller is configured to distribute new incoming flows of network traffic to one of the plurality of processing cores; identify, based on an imbalance among the plurality of processing cores, an overloaded processing core to rebalance; identify a subject flow to move from the overloaded processing core; identify a target processing core with a lowest utilization; and migrate processing of the subject flow from the overloaded processing core to the target processing core.

Abstract: Systems and methods are provided for dynamically balancing workloads among data flow processors based on flow characteristics of data flows. The system determines a flow characteristic score associated with the data flow based on results from deep packet inspection of data packets in the data flow. The system further determines load scores associated with a plurality of processors. A load balancer of the system selects a processor among the plurality of processors for processing the data flow based on the flow characteristic score associated with the data flow. The system monitors workload levels of respective processors by periodically receiving performance data associated with the respective processors. The performance data includes flow characteristic scores of data flows being processed. Based on the current status of the workload distribution among the plurality of processors, the system regenerates load scores and re-balancing the workloads by re-distributing data flows to the respective processors.

Abstract: An automated toolset performs configuration conflict resolution for virtual machines (VMs) providing services in a networked cloud computing system by determining a set of changes to be committed through a series of automated actions. The toolset resolves conflicts among multiple possible configurations that could result in an incorrect VM state and merges configurations in view of inputs from internal and external systems. The toolset operates to identify only a subset of changes that differ between current and new configurations that are loaded into the system to streamline configuration loading and provide for lightweight restoration by rolling back only those differences. Further efficiencies are achieved using an automated test suite environment that is specially adapted to test and validate new configurations to ensure correct loading and avoid system failures.

Abstract: An automated toolset performs configuration conflict resolution for virtual machines (VMs) providing services in a networked cloud computing system by determining a set of changes to be committed through a series of automated actions. The toolset resolves conflicts among multiple possible configurations that could result in an incorrect VM state and merges configurations in view of inputs from internal and external systems. The toolset operates to identify only a subset of changes that differ between current and new configurations that are loaded into the system to streamline configuration loading and provide for lightweight restoration by rolling back only those differences. Further efficiencies are achieved using an automated test suite environment that is specially adapted to test and validate new configurations to ensure correct loading and avoid system failures.

Abstract: Systems and methods for providing accurate data about the distribution of UEs after disaster include a movable eNodeB that is moved to at least three locations. The coordinates for the at least three locations are determined and the distance between the eNodeB and a plurality of UEs is measured. The location of each UE relative to the eNodeB is calculated based on the distance between the eNodeB and the plurality of UEs using trilateration. The coordinates for the UEs is then calculated based on the coordinates for the at least three locations and the determined location of the UEs relative to the eNodeB.

Abstract: A method and a system for managing collaborative authoring on a canvas are provided. The method includes receiving a request to collaborate on a canvas from a user, determining whether one or more viewports from a plurality of viewports are overlapping or are in vicinity to a viewport associated with the user by a client device and automatically sending a request to a collaboration server to lock at least one object in the viewport if the one or more viewports are overlapping or are in vicinity to the viewport. The method further includes denying a request from a second user to collaborate on the at least one object in the canvas.