Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Concepts and technologies disclosed herein are directed to service orchestration to support cloud-based, multi-party video conferencing service in a virtual overlay network environment. According to one aspect of the concepts and technologies disclosed herein, a video conferencing service orchestrator can receive, from a user device, a service request for the cloud-based, multi-party video conferencing service orchestrated by the video conferencing service orchestrator. In response to the service request, the video conferencing service orchestrator can provide, to the user device, virtual network layer system software and a virtual machine container for installation on the user device. The virtual network layer system software can implement a network function to provide an interface between the user device and a service controller during a video conference.

Abstract: Concepts and technologies disclosed herein are directed to service orchestration to support cloud-based, multi-party video conferencing service in a virtual overlay network environment. According to one aspect of the concepts and technologies disclosed herein, a video conferencing service orchestrator can receive, from a user device, a service request for the cloud-based, multi-party video conferencing service orchestrated by the video conferencing service orchestrator. In response to the service request, the video conferencing service orchestrator can provide, to the user device, virtual network layer system software and a virtual machine container for installation on the user device. The virtual network layer system software can implement a network function to provide an interface between the user device and a service controller during a video conference.

Abstract: Concepts and technologies disclosed herein are directed to service orchestration to support cloud-based, multi-party video conferencing service in a virtual overlay network environment. According to one aspect of the concepts and technologies disclosed herein, a video conferencing service orchestrator can receive, from a user device, a service request for the cloud-based, multi-party video conferencing service orchestrated by the video conferencing service orchestrator. In response to the service request, the video conferencing service orchestrator can provide, to the user device, virtual network layer system software and a virtual machine container for installation on the user device. The virtual network layer system software can implement a network function to provide an interface between the user device and a service controller during a video conference.

Abstract: Concepts and technologies disclosed herein are directed to service orchestration to support cloud-based, multi-party video conferencing service in a virtual overlay network environment. According to one aspect of the concepts and technologies disclosed herein, a video conferencing service orchestrator can receive, from a user device, a service request for the cloud-based, multi-party video conferencing service orchestrated by the video conferencing service orchestrator. In response to the service request, the video conferencing service orchestrator can provide, to the user device, virtual network layer system software and a virtual machine container for installation on the user device. The virtual network layer system software can implement a network function to provide an interface between the user device and a service controller during a video conference.

Abstract: Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.

Abstract: Concepts and technologies disclosed herein are directed to service orchestration to support cloud-based, multi-party video conferencing service in a virtual overlay network environment. According to one aspect of the concepts and technologies disclosed herein, a video conferencing service orchestrator can receive, from a user device, a service request for the cloud-based, multi-party video conferencing service orchestrated by the video conferencing service orchestrator. In response to the service request, the video conferencing service orchestrator can provide, to the user device, virtual network layer system software and a virtual machine container for installation on the user device. The virtual network layer system software can implement a network function to provide an interface between the user device and a service controller during a video conference.